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10 Current Database Research Topic Ideas in 2024

Home Blog Database 10 Current Database Research Topic Ideas in 2024

As we head towards the second half of 2024, the world of technology evolves at a rapid pace. With the rise of AI and blockchain, the demand for data, its management and the need for security increases rapidly. A logical consequence of these changes is the way fields like database security research topics and DBMS research have come up as the need of the hour.

With new technologies and techniques emerging day-by-day, staying up-to-date with the latest trends in database research topics is crucial. Whether you are a student, researcher, or industry professional, we recommend taking our Database Certification courses to stay current with the latest research topics in DBMS.

In this blog post, we will introduce you to 10 current database research topic ideas that are likely to be at the forefront of the field in 2024. From blockchain-based database systems to real-time data processing with in-memory databases, these topics offer a glimpse into the exciting future of database research.

So, get ready to dive into the exciting world of databases and discover the latest developments in database research topics of 2024!

Blurring the Lines between Blockchains and Database Systems 

The intersection of blockchain technology and database systems offers fertile new grounds to anyone interested in database research.

As blockchain gains popularity, many thesis topics in DBMS[1] are exploring ways to integrate both fields. This research will yield innovative solutions for data management. Here are 3 ways in which these two technologies are being combined to create powerful new solutions:

Immutable Databases: By leveraging blockchain technology, it’s possible to create databases to be immutable. Once data has been added to such a database, it cannot be modified or deleted. This is particularly useful in situations where data integrity is critical, such as in financial transactions or supply chain management.

Decentralized Databases: Blockchain technology enables the creation of decentralized databases. Here data is stored on a distributed network of computers rather than in a central location. This can help to improve data security and reduce the risk of data loss or corruption.

Smart Contracts: Smart contracts are self-executing contracts with the terms of the agreement between buyer and seller being directly written into lines of code. By leveraging blockchain technology, it is possible to create smart contracts that are stored and executed on a decentralized database, making it possible to automate a wide range of business processes.

Childhood Obesity: Data Management 

Childhood obesity is a growing public health concern, with rates of obesity among children and adolescents rising around the world. To address this issue, it’s crucial to have access to comprehensive data on childhood obesity. Analyzing information on prevalence, risk factors, and interventions is a popular research topic in DBMS these days.

Effective data management is essential for ensuring that this information is collected, stored, and analyzed in a way that is useful and actionable. This is one of the hottest DBMS research paper topics. In this section, we will explore the topic of childhood obesity data management.

A key challenge to childhood obesity data management is ensuring data consistency. This is difficult as various organizations have varied methods for measuring and defining obesity. For example:

Some may use body mass index (BMI) as a measure of obesity.

Others may use waist circumference or skinfold thickness.   Another challenge is ensuring data security and preventing unauthorized access. To protect the privacy and confidentiality of individuals, it is important to ensure appropriate safeguards are in place. This calls for database security research and appropriate application.

Application of Computer Database Technology in Marketing

Leveraging data and analytics allows businesses to gain a competitive advantage in this digitized world today. With the rising demand for data, the use of computer databases in marketing has gained prominence.

The application of database capabilities in marketing has really come into its own as one of the most popular and latest research topics in DBMS[2]. In this section, we will explore how computer database technology is being applied in marketing, and the benefits this research can offer.

Customer Segmentation: Storage and analysis of customer data makes it possible to gain valuable insights. It allows businesses to identify trends in customer behavior, preferences and demographics. This information can be utilized to create highly targeted customer segments. This is how businesses can tailor their marketing efforts to specific groups of customers.

Personalization: Computer databases can be used to store and analyze customer data in real-time. In this way, businesses can personalize their marketing and offers based on individual customer preferences. This can help increase engagement and loyalty among customers, thereby driving greater revenue for businesses.

Predictive Analytics: Advanced analytics techniques such as machine learning and predictive modeling can throw light on patterns in customer behavior. This can even be used to predict their future actions. This information can be used to create more targeted marketing campaigns, and to identify opportunities for cross-selling and upselling.

Database Technology in Sports Competition Information Management

Database technology has revolutionized the way in which sports competition information is managed and analyzed. With the increasing popularity of sports around the world, there is a growing need for effective data management systems that can collect, store, and analyze large volumes of relevant data. Thus, researching database technologies[3] is vital to streamlining operations, improving decision-making, and enhancing the overall quality of events.

Sports organizations can use database technology to collect and manage a wide range of competition-related data such as: 

Athlete and team information,

competition schedules and results,

performance metrics, and

spectator feedback.

Collating this data in a distributed database lets sports organizations easily analyze and derive valuable insights. This is emerging as a key DBMS research paper topic.

Database Technology for the Analysis of Spatio-temporal Data

Spatio-temporal data refers to data which has a geographic as well as a temporal component. Meteorological readings, GPS data, and social media content are prime examples of this diverse field. This data can provide valuable insights into patterns and trends across space and time. However, its multidimensional nature makes analysis be super challenging. It’s no surprise that this has become a hot topic for distributed database research[4].

In this section, we will explore how database technology is being used to analyze spatio-temporal data, and the benefits this research offers.

Data Storage and Retrieval: Spatio-temporal data tends to be very high-volume. Advances in database technology are needed to make storage, retrieval and consumption of such information more efficient. A solution to this problem will make such data more available. It will then be easily retrievable and usable by a variety of data analytics tools.

Spatial Indexing: Database technology can create spatial indexes to enable faster queries on spatio-temporal data. This allows analysts to quickly retrieve data for specific geographic locations or areas of interest, and to analyze trends across these areas.

Temporal Querying: Distributed database research can also enable analysts to analyze data over specific time periods. This facilitates the identification of patterns over time. Ultimately, this enhances our understanding of how these patterns evolve over various seasons.

Artificial Intelligence and Database Technology

Artificial intelligence (AI) is another sphere of technology that’s just waiting to be explored. It hints at a wealth of breakthroughs which can change the entire world. It’s unsurprising that the combination of AI with database technology is such a hot topic for database research papers[5] in modern times. 

By using AI to analyze data, organizations can identify patterns and relationships that might not be apparent through traditional data analysis methods. In this section, we will explore some of the ways in which AI and database technology are being used together. We’ll also discuss the benefits that this amalgamation can offer.

Predictive Analytics: By analyzing large volumes of organizational and business data, AI can generate predictive models to forecast outcomes. For example, AI can go through customer data stored in a database and predict who is most likely to make a purchase in the near future.

Natural Language Processing: All businesses have huge, untapped wells of valuable information in the form of customer feedback and social media posts. These types of data sources are unstructured, meaning they don’t follow rigid parameters. By using natural language processing (NLP) techniques, AI can extract insights from this data. This helps organizations understand customer sentiment, preferences and needs.

Anomaly Detection: AI can be used to analyze large volumes of data to identify anomalies and outliers. Then, a second round of analysis can be done to pinpoint potential problems or opportunities. For example, AI can analyze sensor data from manufacturing equipment and detect when equipment is operating outside of normal parameters.

Data Collection and Management Techniques of a Qualitative Research Plan

Any qualitative research calls for the collection and management of empirical data. A crucial part of the research process, this step benefits from good database management techniques. Let’s explore some thesis topics in database management systems[6] to ensure the success of a qualitative research plan.

Interviews: This is one of the most common methods of data collection in qualitative research. Interviews can be conducted in person, over the phone, or through video conferencing. A standardized interview guide ensures the data collected is reliable and accurate. Relational databases, with their inherent structure, aid in this process. They are a way to enforce structure onto the interviews’ answers.

Focus Groups: Focus groups involve gathering a small group of people to discuss a particular topic. These generate rich data by allowing participants to share their views in a group setting. It is important to select participants who have knowledge or experience related to the research topic.

Observations: Observations involve observing and recording events in a given setting. These can be conducted openly or covertly, depending on the research objective and setting. To ensure that the data collected is accurate, it is important to develop a detailed observation protocol that outlines what behaviors or events to observe, how to record data, and how to handle ethical issues.

Database Technology in Video Surveillance System 

Video surveillance systems are used to monitor and secure public spaces, workplaces, even homes. With the increasing demand for such systems, it’s important to have an efficient and reliable way to store, manage and analyze the data generated. This is where database topics for research paper [7] come in.

By using database technology in video surveillance systems, it is possible to store and manage large amounts of video data efficiently. Database management systems (DBMS) can be used to organize video data in a way that is easily searchable and retrievable. This is particularly important in cases where video footage is needed as evidence in criminal investigations or court cases.

In addition to storage and management, database technology can also be used to analyze video data. For example, machine learning algorithms can be applied to video data to identify patterns and anomalies that may indicate suspicious activity. This can help law enforcement agencies and security personnel to identify and respond to potential threats more quickly and effectively.

Application of Java Technology in Dynamic Web Database Technology 

Java technology has proven its flexibility, scalability, and ease of use over the decades. This makes it widely used in the development of dynamic web database applications. In this section, we will explore research topics in DBMS[8] which seek to apply Java technology in databases.

Java Server Pages (JSP): JSP is a Java technology that is used to create dynamic web pages that can interact with databases. It allows developers to embed Java code within HTML scripts, thereby enabling dynamic web pages. These can interact with databases in real-time, and aid in data collection and maintenance.

Java Servlets: Java Servlets are Java classes used to extend the functionality of web servers. They provide a way to handle incoming requests from web browsers and generate dynamic content that can interact with databases.

Java Database Connectivity (JDBC): JDBC is a Java API that provides a standard interface for accessing databases. It allows Java applications to connect to databases. It can SQL queries to enhance, modify or control the backend database. This enables developers to create dynamic web applications.

Online Multi Module Educational Administration System Based on Time Difference Database Technology 

With the widespread adoption of remote learning post-COVID, online educational systems are gaining popularity at a rapid pace. A ubiquitous challenge these systems face is managing multiple modules across different time zones. This is one of the latest research topics in database management systems[9].

Time difference database technology is designed to handle time zone differences in online systems. By leveraging this, it’s possible to create a multi-module educational administration system that can handle users from different parts of the world, with different time zones.

This type of system can be especially useful for online universities or other educational institutions that have a global reach:

It makes it possible to schedule classes, assignments and other activities based on the user's time zone, ensuring that everyone can participate in real-time.

In addition to managing time zones, a time difference database system can also help manage student data, course materials, grades, and other important information.

Why is it Important to Study Databases?

Databases are the backbone of many modern technologies and applications, making it essential for professionals in various fields to understand how they work. Whether you're a software developer, data analyst or a business owner, understanding databases is critical to success in today's world. Here are a few reasons why it is important to study databases and more database topics for research paper should be published:

Efficient Data Management

Databases enable the efficient storage, organization, and retrieval of data. By studying databases, you can learn how to design and implement effective data management systems that can help organizations store, analyze, and use data efficiently.

Improved Decision-Making

Data is essential for making informed decisions, and databases provide a reliable source of data for analysis. By understanding databases, you can learn how to retrieve and analyze data to inform business decisions, identify trends, and gain insights.

Career Opportunities

In today's digital age, many career paths require knowledge of databases. By studying databases, you can open up new career opportunities in software development, data analysis, database administration and related fields.

Needless to say, studying databases is essential for anyone who deals with data. Whether you're looking to start a new career or enhance your existing skills, studying databases is a critical step towards success in today's data-driven world.

Final Takeaways

In conclusion, as you are interested in database technology, we hope this blog has given you some insights into the latest research topics in the field. From blockchain to AI, from sports to marketing, there are a plethora of exciting database topics for research papers that will shape the future of database technology.

As technology continues to evolve, it is essential to stay up-to-date with the latest trends in the field of databases. Our curated KnowledgeHut Database Certification Courses will help you stay ahead of the curve and develop new skills.

We hope this blog has inspired you to explore the exciting world of database research in 2024. Stay curious and keep learning!

Frequently Asked Questions (FAQs)

There are several examples of databases, with the five most common ones being:

MySQL : An open-source RDBMS used commonly in web applications.

Microsoft SQL Server : A popular RDBMS used in enterprise environments.

Oracle : A trusted commercial RDBMS famous for its high-scalability and security.

MongoDB : A NoSQL document-oriented database optimized for storing large amounts of unstructured data.

PostgreSQL : An open-source RDBMS offering advanced features like high concurrency and support for multiple data types.

Structured Query Language (SQL) is a high-level language designed to communicate with relational databases. It’s not a database in and of itself. Rather, it’s a language used to create, modify, and retrieve data from relational databases such as MySQL and Oracle.

A primary key is a column (or a set of columns) that uniquely identifies each row in a table. In technical terms, the primary key is a unique identifier of records. It’s used as a reference to establish relationships between various tables.

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Top 18 database projects ideas for students.

In the realm of computer science and IT courses, a well-constructed database project can be a game-changer for students eager to showcase their skills. If you’re a student on the hunt for compelling database project ideas for your academic endeavors, you’re in the right place. From designing intuitive library management systems to creating dynamic student portals, the world of databases offers a plethora of opportunities. In this guide, we’ll delve into a variety of database project ideas specifically curated to spark inspiration and set you on the path to academic excellence.”

1. Inventory control management Database Project

Design goals: maintain a proper variety of required items, increase inventory turnover, reduce and maintain optimize inventory and safety stock levels, obtain low raw material prices, reduce storage cost, reduce insurance cost, reduce taxes.

Tables : Items, Inventory, InventoryTurnover, Suppliers, PurchaseOrders, OrderDetails, Storage, StorageCosts, Insurance, Taxes, SafetyStock, RawMaterials, RawMaterialPrices, Transactions, Vendors.

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2. Student Record Keeping System Database Project

Design goals: a student file that contains the information about the student, a stream file, a marks file, a fee file, concession/scholarship, etc.

Tables: Students, Streams, Marks, Fees, Scholarships, Concessions.

3. Online Retail Application Database Project

A customer can register to purchase an item. The customer will provide the bank account number and bank name (can have multiple account numbers). After registration, each customer will have a unique customer, user id, and password. A customer can purchase one or more items in different quantities. The items can of different classes based on their prices.

Based on the quantity, the price of the item, and discount (if any) on the purchased items, the bill will be generated. A bank account is required to settle the bill. The items can be ordered from one or more suppliers.

Tables: Customers, BankAccounts, Items, ItemClasses, Orders, OrderDetails, Discounts, Bills, Suppliers, SupplierItems.

4. College Database Project

A college contains many departments. Each department can offer any number of courses. Many instructors can work in a department, but an instructor can work only in one department. For each department, there is an ahead, and an instructor can be the head of only one department. Each instructor can take any number of courses, and a course can be taken by only one instructor.

A student can enroll in any number of courses and each course can have any number of students.

Tables: Departments, Courses, Instructors, DepartmentHeads, Enrollments, Students.

5. Railway System Database Project

A railway system, which needs to model the following:

• Tracks, connecting stations. You can assume for simplicity that only one track exists between any two stations. All the tracks put together to form a graph.
• Trains, with an ID and a name.
• Train schedules recording what time a train passes through each station on its route.

You can assume for simplicity that each train reaches its destination on the same day and that every train runs every day. Also, for simplicity, assume that for each train, for each station on its route, you store.

•  Time in.
•  Timeout (same as time in if it does not stop).
•  A sequence number so the stations in the route of a train can be ordered by sequence number.
• Passenger booking consisting of train, date, from-station, to station, coach, seat and passenger name.

Tables: Stations, Tracks, Trains, TrainSchedules, Coaches, Bookings, Passengers.

6. Hospital Management System Database Project

A patient will have a unique Patient ID. Full description about the patient about personal detail and phone number, and then Disease and what treatment is going on. The doctor will handle patients, one doctor can Treat more than 1 patient. Also, each doctor will have a unique ID. Doctor and Patients will be related. Patients can be admitted to the hospital.

So different room numbers will be there, also rooms for Operation Theaters and ICU.  There are some nurses, and ward boys for the maintenance of the hospital and for patient take care.  Based upon the number of days and treatment bill will be generated.

Tables: Patients, Doctors, Treatments, Rooms, OperationTheaters, ICUs, Nurses, WardBoys, Bills.

Check Hospital Management System Project

7. Library Management System Database Project

A student and faculty can issue books. Different limits for the number of books a student and teacher can issue. Also, the number of days will be distinct in the case of students and teachers for issue any book.  Each book will have a different ID. Also, each book of the same name and same author (but the number of copies) will have a different ID.

Entry of all the book will be done, who issue that book and when and also duration. Detail of Fine (when the book is not returned at a time) is also stored.

Tables: Students, Faculty, Books, Authors, BookIssues, Fines.

You can also check these posts:

• Blood Bank Management System
• Hotel Management System
• Payroll Management System
• Patient Information Management System 

8. Payroll Management System Database Project

There will entry (Unique ID) of all the employees of any organization. According to the date of joining and the date up to which salary is created, the number of days will be entered.  Basic pay will be defined according to the post of employee and department. Then component like DA, HRA, medical allowance, Arrears will be added, and Charges of Hostel/Bus, Security, welfare fund and other will be deducted. The number of leaves taken by the employee.

Tables: Employees, JoiningDetails, Departments, Posts, BasicPay, Allowances, Deductions, Leaves, Salaries.

9. Healthcare organization Database Project

This organization provides the following functionalities:

• Emergency Care 24×7
• Support Groups
• Support and Help Through calls

Any new Patient is first registered in their database before meeting the doctor. The Doctor can update the data related to the patient upon diagnosis (Including the disease diagnosed and prescription). This organization also provides rooms facility for admitting the patient who is critical. Apart from doctors, this organization has nurses and ward boys.

Each nurse and ward boy is assigned to a doctor. Also, they can be assigned to patients (to take care of them). The bill is paid by the patient with cash and E-banking. The record of each payment made is also maintained by the organization. The record of each call received to provide help and support to its existing person is also maintained.

Tables: Patients, Doctors, Diagnoses, Rooms, Nurses, WardBoys, Assignments, Payments, EmergencyCare, SupportGroups, SupportCalls.

Check Clinic Management System Project

10. Restaurant Management Database Project

• The restaurant maintains the catalog for the list of food and beverage items that it provides.
• Apart from providing food facilities at their own premises, the restaurant takes orders online through their site. Orders on the phone are also entertained.
• To deliver the orders, we have delivery boys. Each delivery boy is assigned to a specific area code. The delivery boy cannot deliver outside the area which is not assigned to the delivery boy (for every delivery boy there can be a single area assigned to that delivery boy).
• The customer record is maintained so that premium customers can be awarded discounts.

Tables: MenuItems, OnlineOrders, PhoneOrders, DeliveryBoys, AreaCodes, Customers, Discounts.

11. Design a Scenario and An Er Diagram for An It Training Group Database Project

It will meet the information needs of its training program. Clearly indicate the entities, relationships, and key constraints.

The description of the environment is as follows:

• The company has 10 instructors and can handle up to 100 trainees for each training session.
• The company offers 4 Advanced technology courses, each of which is taught by a team of 4 or more instructors.
• Each instructor is assigned to a maximum of two teaching teams or may be assigned to do research Each trainee undertakes one advanced technology course per training session.

Tables: Instructors, Trainees, Courses, TrainingSessions, InstructorTeams, Assignments, ResearchTasks.

12. Blood Donation System Database Project

A system in which data of patient, data of donor, data of blood bank would be saved and will be interrelation with each other.

Data of Patient – Patient Name, Patient Id, Patient Blood Group, Patent Disease. Data of Donar – Donar Name, Donar Id, Donar Bood Group, Donar Medical report, Donar Address, Donar Contact number. Data of Blood Bank – Blood Bank Name, Blood Bank Address, Blood bank Donor’s name, Blood Bank Contact Number, Blood Bank Address.

Try to implement such scenario in a database, create a schema for it, an ER diagram for it and try to normalize it.

Tables: Patients, Donors, BloodBanks, BloodBankDonors, BloodInventory, PatientDonorMatch.

13. Art Gallery Management Database Project

Design an E-R Diagram for an Art Gallery. Gallery keeps the information about “Artist” their Name, Birthplace, Age & Style of Art about “Art Work,” Artist, the year it was made, Unique title, Type of art & Prices must be stored. The piece of artwork is classified into various kinds like Poetess, Work of the 19th century still life, etc.

Gallery keeps the information about Customers as their Unique name, Address, Total amount of Dollars, they spent on Gallery, and liking of Customers.

Tables: Artists, ArtWorks, ArtTypes, Customers.

14. Hotel Management System Database Project

A hotel is a hive of numerous operations such as front office, booking, and reservation, banquet, finance, HR, inventory, material management, quality management, security, energy management, housekeeping, CRM, and more.  The hotel has some rooms, and these rooms are of different categories. By room category, each room has a different price.

A hotel has some employees to manage the services provided to customers. The customer can book the room either online or by cash payment at the hotel. The customer record is stored in the hotel database which contains customer identity, his address, check-in time, check-out time, etc. hotel provides food and beverages to their customers and generates the bill for this at the time of their check out.

Tables: Rooms, RoomCategories, Employees, Customers, Bookings, Payments, FoodAndBeverages, Bills.

15. School Management System Database Project

Design a database to maintain information about school staff ( staff management system in Ms access ) and students satisfying the following properties:

• Staff will have their id, name, and classes they are teaching.
• The student will be having the name, roll no, section, class.
• Another table containing the section, subject, and teacher information.
• Next will contain fee information for students.
• One contains salary information for teachers.
• Rooms are assigned to classes keeping in mind that there is no time clash of same room or lab, students cannot be entered in more than one section, no student should be there who have not paid fees up to a particular date.

Tables: Staff, Students, SectionSubjectTeacher, StudentFees, TeacherSalaries, RoomAssignments.

16. Wholesale Management System Database Project

• Maintain the details of stock like their id, name, quantity.
• Maintain the details of buyers from which the manager has to buy the stock like buyer id, name, address, stock id to be bought.
• Details of customers i.e. name, address, id.
• Defaulter’s list of customers who have not paid their pending amount.
• List of payments paid or pending.
• The stock that is to buy if quantity goes less than a particular amount.
• Profit calculation for a month.
• Quantity cannot be sold to a customer if the required amount is not present in stock and the date of delivery should be maintained up to which stock can be provided.

Tables: Stocks, Buyers, Customers, Defaulters, Payments, StockReorder, MonthlyProfit, DeliveryDates.

17. Salary Management System Database Project

• Employee list to be maintained having id, name, designation, experience.
• Salary details having employee id, current salary.
• Salary in hand details having employee id, CTC salary, pf deduction or any other deduction and net salary to be given and also maintain details of total savings of employee.
• Salary increments to be given by next year if any depending upon constraints.
• Deduction in monthly salary if any depending upon any discrepancy in work and amount to be deducted.

Tables: Employees, SalaryDetails, SalaryInHand, Savings, SalaryIncrements, MonthlyDeductions.

18. Atm Management System Database Project

Think about yourself and write in the comment. I will pick the best one from the comments and publish it here.

Struggling to find the perfect database project idea?

Don’t worry, I’ve got you covered. I’ve put together a massive list of over 1,000 project ideas just for you.

This list has something for everyone, no matter your skill level. It’s full of diverse and interesting projects that are great for learning, practicing, and even adding something special to your portfolio.

And the best part? You can download the whole list for free.

Just use the coupon code “ FREEDATABASE ” when you’re getting it.

This is my way of helping out and making sure everyone has access to great project ideas. Happy exploring!

I am interested to do on hotel management system data base projects

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I’m taking hospital management system database as project.

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Online Programming Lessons, Tutorials and Capstone Project guide

40 List of DBMS Project Topics and Ideas

Introduction

A Capstone project is the last project of an IT degree program. It is made up of one or more research projects in which students create prototypes, services, and/or products. The projects are organized around an issue that needs to be handled in real-world scenarios. When IT departments want to test new ideas or concepts that will be adopted into their daily operations, they implement these capstone projects within their services.

In this article, our team has compiled a list of Database Management System Project Topics and Ideas. The capstone projects listed below will assist future researchers in deciding which capstone project idea to pursue. Future researchers may find the information in this page useful in coming up with unique capstone project ideas.

• Telemedicine Online Platform Database Design

  “Telemedicine Online Platform” is designed to allow doctors to deliver clinical support to patients remotely. Doctors can communicate with their patients in real-time for consultations, diagnoses, monitoring, and medical supply prescriptions. The project will be developed using the SDLC method by the researchers. The researchers will also compile a sample of hospital doctors and patients who will act as study participants. A panel of IT specialists will review, test, and assess the project.

• Virtual and Remote Guidance Counselling System Database Design

Counseling is a vital component of a person’s life since it aids in the improvement of interpersonal relationships. Humans must cease ignoring this issue because it is essential for the development of mental wellness. The capstone project “Virtual and Remote Guidance Counselling System,” which covers the gap in giving counseling in stressful situations, was built for this reason. It answers to the requirement to fill in the gaps in the traditional technique and make it more effective and immersive in this way.

COVID-19 Facilities Management Information System Database Design

COVID – 19 has put people in fear due to its capability of transmission when exposed to the virus. The health sectors and the government provide isolation facilities for COVID-19 patients to mitigate the spread and transmission of the virus. However, proper communication for the availability of the facilities is inefficient resulting to surge of patients in just one facility and some are transferred multiple times due to unavailability. The COVID-19 respondents must have an advance tools to manage the COVID-19 facilities where respondents can easily look for available facilities to cater more patients.

• Document Tracking System Database Design

The capstone project, “Document Tracking System” is purposely designed for companies and organizations that allow them to electronically store and track documents. The system will track the in/out of the documents across different departments. The typical way of tracking documents is done using the manual approach. The staff will call or personally ask for updates about the documents which are time-consuming and inefficient.

• Face Recognition Application Database Design

Technology has grown so fast; it changes the way we do our daily tasks. Technology has made our daily lives easier. The capstone project, entitled “Face Recognition Attendance System” is designed to automate checking and recording of students’ attendance during school events using face recognition technology. The system will work by storing the student’s information along with their photographs in a server and the system will detect the faces of the students during school events and match it and verify to record the presence or absence of the student.

• Digital Wallet Solution Database Design

The capstone project, named “Digital Wallet Solution,” is intended to allow people to store money online and make payments online. The digital wallet transactions accept a variety of currencies and provide a variety of payment gateways via which the user can pay for products and services. The system allows users to conduct secure and convenient online financial transactions. It will speed up payment and other financial processes, reducing the amount of time and effort required to complete them.

• Virtual Online Tour Application Database Design

The usage of technology is an advantage in the business industry, especially during this challenging pandemic. It allows businesses to continue to operate beyond physicality. The capstone project entitled “Virtual Online Tour Application” is designed as a platform to streamline virtual tours for clients. Any business industry can use the system to accommodate and provide their clients with a virtual experience of their business. For example, the tourist industry and real estate agencies can use the system to provide a virtual tour to their clients about the tourist locations and designs of properties, respectively.

• Invoice Management System Database Design

The researchers will create a system that will make it easier for companies to manage and keep track of their invoice information. The company’s sales records, payables, and total invoice records will all be electronically managed using this project. Technology is highly used for business operations and transactions automation. The capstone project, entitled “Invoice Management System” is designed to automate the management of the company’s invoice records. The said project will help companies to have an organized, accurate, and reliable record that will help them track their sales and finances.

• Vehicle Repair and Maintenance Management System Database Design

Information Technology has become an integral part of any kind of business in terms of automating business operations and transactions. The capstone project, entitled “Vehicle Repair and Maintenance Management System” is designed for vehicle repair and maintenance management automation. The said project will automate the vehicle garage’s operations and daily transactions. The system will automate operations such as managing vehicle repair and maintenance records, invoice records, customer records, transaction records, billing and payment records, and transaction records.

• Transcribe Medical Database Design

Information technology has made everything easier and simpler, including transcribing the medical diagnosis of patients. The capstone project, entitled “Medical Transcription Platform,” is designed to allow medical transcriptionists to transcribe audio of medical consultations and diagnose patients in a centralized manner. A medical transcriptionist is vital to keep accurate and credible medical records of patients and can be used by other doctors to know the patients’ medical history. The said project will serve as a platform where transcribed medical audios are stored for safekeeping and easy retrieval.

• Multi-branch Travel Agency and Booking System Database Design

The capstone project, entitled “Multi-Branch Travel Agency and Booking System,” is designed as a centralized platform wherein multiple travel agency branches are registered to ease and simplify inquiries and booking of travels and tour packages by clients. The said project will allow travel agencies to operate a business in an easy, fast manner considering the convenience and safety of their clients. The system will enable travel agencies and their clients to have a seamless online transaction.

• Pharmacy Stocks Management Database Design

The capstone project “Pharmacy Stocks Management System” allows pharmacies to manage and monitor their stocks of drugs electronically. The Pharmacy Stocks Management System will automate inventory to help ensure that the pharmacy has enough stock of medications and supplies to serve the needs of the patients.

• Loan Management with SMS Database Design

The capstone project entitled “ Loan Management System with SMS ” is an online platform that allows members to apply and request loan. In addition, they can also monitor their balance in their respective dashboard. Management of cooperative will review first the application for approval or disapproval of the request. Notification will be send through the SMS or short messaging service feature of the system.

• Service Call Management System Database Design

The capstone project, entitled ” Service Call Management System,” is designed to transform service calls to a centralized platform. The said project would allow clients to log in and lodge calls to the tech support if they encountered issues and difficulties with their purchased products. The tech support team will diagnose the issue and provide them with the necessary actions to perform via a call to solve the problem and achieve satisfaction.

• File Management with Approval Process Database Design

The File Management System provides a platform for submitting, approving, storing, and retrieving files. Specifically, the capstone project is for the file management of various business organizations. This is quite beneficial in the management and organization of the files of every department. Installation of the system on an intranet is possible, as is uploading the system to a live server, from which the platform can be viewed online and through the use of a browser.

• Beauty Parlor Management System Database Design

The capstone project entitled “Beauty Parlour Management System” is an example of transactional processing system that focuses on the records and process of a beauty parlour. This online application will help the management to keep and manage their transactions in an organize, fast and efficient manner.

• Exam Management System Database Design

Information technology plays a significant role in the teaching and learning process of teachers and students, respectively. IT offers a more efficient and convenient way for teachers and students to learn and assess learnings. The capstone project, “Exam Management System,” is designed to allow electronic management of all the information about the exam questions, courses and subjects, and teachers and students. The said project is an all-in-one platform for student exam management.

• Student and Faculty Clearance Database Design

The capstone project, entitled “Student and Faculty Clearance System,” is designed to automate students and faculty clearance processes. The approach is intended to make the clearance procedure easier while also guaranteeing that approvals are accurate and complete. The project works by giving every Department involved access to the application. The proposed scheme can eliminate the specified challenges, streamline the process, and verify the integrity and correctness of the data.

• Vehicle Parking Management System Database Design

The capstone project entitled “ Vehicle Parking Management System ” is an online platform that allows vehicle owners to request or reserve a slot for parking space. Management can accept and decline the request of reservation. In addition, payment option is also part of the system feature but is limited to on-site payment.

• Hospital Resources and Room Utilization Database Design

The capstone project, “Hospital Resources and Room Utilization Management System” is a system designed to streamline the process of managing hospital resources and room utilization. The said project is critical especially now that we are facing a pandemic, there is a need for efficient management of hospital resources and room management. The management efficiency will prevent a shortage in supplies and overcrowding of patients in the hospitals.

• Church Event Management System Database Design

The capstone project entitled “Church Event Management System” is designed to be used by church organizations in creating and managing different church events. The conventional method of managing church events is done manually where members of organizations will face difficulties due to physical barriers and time constraints.

• CrowdFunding Platform Database Design

Business financing is critical for new business ventures. In this study, the researchers concentrate on designing and developing a business financing platform that is effective for new startups. This capstone project, entitled “Crowdfunding Platform” is a website that allows entrepreneurs to campaign their new business venture to attract investors and crowdfund.

• Vehicle Franchising and Drivers Offense Software Database Design

The proposed software will be used to electronically process and manage vehicle and franchising and driver’s offenses. The proposed software will eliminate the manual method which involves a lot of paper works and consumes valuable amount of time. The proposed project will serve as a centralized platform was recording and paying for the offenses committed by the drivers will be processed. The system will quicken the process of completing transaction between the enforcers and the drivers. Vehicle franchising and managing driver offenses will be easy, fast and convenient using the system.

• Student Tracking Performance Database Design

The capstone project entitled “Student Academic Performance Tracking and Monitoring System” allows academic institutions to monitor and gather data about the academic performance of students where decisions are derived to further improve the students learning outcomes. Tracking and monitoring student’s performance serves a vital role in providing information that is used to assist students, teachers, administrators, and policymakers in making decisions that will further improve the academic performance of students.

• Webinar Course Management System Database Design

The capstone project, entitled “Webinar Course Management System,” is designed to automate managing webinar courses. The project aims to eliminate the current method, which is inefficient and inconvenient for parties involved in the webinar. A software development life cycle (SDLC) technique will be used by the researchers in order to build this project. They will gather a sample size of participating webinar members and facilitators to serve as respondents of the study.

• Online Birth Certificate Processing System with SMS Notification Database Design

The capstone project, “Online Birth Certificate Processing System with SMS Notification “ is an IT-based solution that aims to automate the process of requesting, verifying, and approving inquiries for original birth records. The system will eliminate the traditional method and transition the birth certificate processing into an easy, convenient, and efficient manner. The researchers will develop the project following the Software Development Life Cycle (SDLC) technique.

• Food Donation Services Database Design

Information technology plays a significant role in automating the operations of many companies to boost efficiency. One of these is the automation of food donation and distribution management. “Food Donation Services,” the capstone project, is intended to serve as a platform for facilitating transactions between food groups, donors, and recipients. Food banks will be able to respond to various food donations and food assistance requests in a timely and effective manner as a result of the project.

• COVID Profiling Database Design

The capstone project “City COVID-19 Profiling System with Decision Support” is designed to automate the process of profiling COVID-19 patients. The project will empower local health officers in electronically recording and managing COVID-19 patient information such as symptoms, travel history, and other critical details needed to identify patients. Manual profiling is prone to human mistakes, necessitates a lot of paperwork, and needs too much time and effort from the employees.

• Evacuation Center Database Design

Calamities can have a significant impact on society. It may result in an enormous number of people being evacuated. The local government unit assigned evacuation centers to provide temporary shelter for people during disasters. Evacuation centers are provided to give temporary shelter for the people during and after a calamity. Evacuation centers can be churches, sports stadium community centers, and much more that are capable to provide emergency shelter.

• QR Code Fare Payment System Database Design

The capstone project, “QR Code Fare Payment System” is designed to automate the procedure of paying for a fare when riding a vehicle. Passengers will register in the system to receive their own QR code, which they will use to pay for their fares by scanning in the system’s QR code scanning page. The project will enable cashless fare payment.

• Web Based Psychopathology Diagnosis System Database Design

The capstone project entitled “Web-Based Psychopathology Diagnosis System” is designed for patients and medical staff in the field of psychopathology. The system will be a centralized platform to be used by patients and psychopathologists for consultations. The said project will also keep all the records electronically. Mental health is important. Each individual must give importance to their mental health by paying attention to it and seek medical advice if symptoms of mental disorders and unusual behavior occur.

• Service Marketplace System Database Design

The capstone project, “Services Marketplace System” is designed to serve as a centralized platform for marketing and inquiring about different services. The system will serve as a platform where different service providers and customers will have an automated transaction. Technology made it easier for people to accomplish daily tasks and activities. In the conventional method, customers avail themselves of services by visiting the shop that offers their desired services personally.

• Fish Catch System Database Design

The capstone project, entitled “Fish Catch Monitoring System” will automate the process of recording and monitoring fish catches. The said project is intended to be used by fisherman and fish markets to accurately record fish catches and will also keep the records electronically safe and secure.

• Complaints Handling Management System Free Template Database Design

The capstone project, “Complaint Handling Management System” is a system designed to help educational institutions to handle and manage complaints electronically. The system will improve the response time of the school’s management in addressing the complaints of the students, parents, staff, and other stakeholders.

• Senior Citizen Information System Free Template Database Design

The system will replace the manual method of managing information and records of the senior citizen to an electronic one. The system will serve as a repository of the record of the senior citizen within the scope of a specific local government unit. By using the system, paper works will be lessened and human errors in file handling will be avoided. The system is efficient enough to aid in managing and keeping the records of the senior citizens in the different barangay.

• Online and SMS-Based Salary Notification Database Design

The “Online and SMS Based Salary Notification” is a capstone project intended to be used by companies and employees to automate the process of notifying salary details. The application will work by allowing the designated company encoder to encode details of salary and the employees to log in to his/her account in the application and have access to the details of his/her salary. One of the beauties of being employed is being paid. Employers manage the employee’s salary and are responsible to discuss with the employees the system of the salary and deductions.

• Maternal Records Management Database Design

The capstone project, “Maternal Records Management System” is a system that automates the process of recording and keeping maternal records. The said project will allow maternity clinics to track and monitor their patients’ records from pregnancy to their baby’s immunization records.

• Online Complaint Management System Database Design

Online Complaint Management System is a capstone project that is design to serve as a platform to address complaints and resolve disputes. The system provides an online way of resolving problems faced by the public or people within the organization. The system will make complaints easier to coordinate, monitor, track and resolve.

• Online Donation Database Design

The capstone project ,  “Online Donation Platform for DSWD” is an online platform for giving and asking donations in the Department of Social Welfare and Development (DSWD). The system will be managed by the staffs of the DSWD to verify donors and legible beneficiaries electronically. The system will have an SMS feature to notify the donors and beneficiaries about the status of their request.

• OJT Timesheet Monitoring System using QR Code Database Design

The capstone project, “OJT Timesheet Monitoring System using QR Code” allows employer to automate timesheet of each trainee for easy monitoring. The system will be used by the on-the-job trainees to serve as their daily time in and out using the QR code generated by the system. The entire system will be managed by the administrator.

Technology is attributed with driving change in a wide range of enterprises and institutions. Because of information technology, the world has altered dramatically. It is difficult to imagine an industry or organization that has not benefited from technology advances. In these businesses, the most common role of IT has been to automate numerous procedures and transactions in order to increase efficiency and improve people’s overall experience and satisfaction. The aforementioned capstone project ideas will be useful in a range of sectors. It will aid in enhancing operational efficiency as well as the services provided to the project’s users.

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MySQL SHOW Command

Student and Faculty Clearance System Database Design

Database Management Systems (DBMS)

Database group website: db.cs.berkeley.edu

Declarative languages and runtime systems

Design and implementation of declarative programming languages with applications to distributed systems, networking, machine learning, metadata management, and interactive visualization; design of query interface for applications.

Scalable data analysis and query processing

Scalable data processing in new settings, including interactive exploration, metadata management, cloud and serverless environments, and machine learning; query processing on compressed, semi-structured, and streaming data; query processing with additional constraints, including fairness, resource utilization, and cost.

Consistency, concurrency, coordination and reliability

Coordination avoidance, consistency and monotonicity analysis; transaction isolation levels and protocols; distributed analytics and data management, geo-replication; fault tolerance and fault injection.

Data storage and physical design

Hot and cold storage; immutable data structures; indexing and data skipping; versioning; new data types; implications of hardware evolution.

Metadata management

Data lineage and versioning; usage tracking and collective intelligence; scalability of metadata management services; metadata representations; reproducibility and debugging of data pipelines.

Systems for machine learning and model management

Distributed machine learning and graph analytics; physical and logical optimization of machine learning pipelines; online model management and maintenance; prediction serving; real-time personalization; latency-accuracy tradeoffs and edge computing for large-scale models; machine learning lifecycle management.

Data cleaning, data transformation, and crowdsourcing

Human-data interaction including interactive transformation, query authoring, and crowdsourcing; machine learning for data cleaning; statistical properties of data cleaning pipelines; end-to-end systems for crowdsourcing.

Interactive data exploration and visualization

Interactive querying and direct manipulation; scalable spreadsheets and data visualization; languages and interfaces for interactive exploration; progressive query visualization; predictive interaction.

Secure data processing

Data processing under homomorphic encryption; data compression and encryption; differential privacy; oblivious data processing; databases in secure hardware enclaves.

Foundations of data management

Optimal trade-offs between storage, quality, latency, and cost, with applications to crowdsourcing, distributed data management, stream data processing, version management; expressiveness, complexity, and completeness of data representations, query languages, and query processing; query processing with fairness constraints.

Research Centers

• EPIC Data lab
• Sky Computing Lab
• Alvin Cheung
• Natacha Crooks
• Joseph Gonzalez
• Joseph M. Hellerstein (coordinator)
• Jiantao Jiao
• Aditya Parameswaran
• Matei Zaharia
• Eric Brewer
• Michael Lustig
• Jelani Nelson

Faculty Awards

• ACM Prize in Computing: Eric Brewer, 2009.
• National Academy of Engineering (NAE) Member: Ion Stoica, 2024. Eric Brewer, 2007.
• American Academy of Arts and Sciences Member: Eric Brewer, 2018.
• Sloan Research Fellow: Aditya Parameswaran, 2020. Alvin Cheung, 2019. Jelani Nelson, 2017. Michael Lustig, 2013. Ion Stoica, 2003. Joseph M. Hellerstein, 1998. Eric Brewer, 1997.

Related Courses

• CS 186. Introduction to Database Systems
• CS 262A. Advanced Topics in Computer Systems

50+ Amazing DBMS Project Ideas For Beginners To Advance Level Students

Are you looking to delve into the world of Database Management Systems (DBMS) and explore its myriad possibilities? In our blog on DBMS project ideas, we unravel the fascinating realm of DBMS and its importance in skill development. As data continues to be the lifeblood of modern enterprises, mastering DBMS is an invaluable asset.

We’ve curated over 50 DBMS project ideas, catering to beginners, intermediate learners, and advanced students, ensuring that there’s something for everyone. In the first section, we present 17+ easy DBMS project ideas perfect for beginners, followed by 17+ intriguing projects for intermediate-level students. For the advanced enthusiasts, we’ve got 17+ stunning DBMS project ideas that will truly challenge your skills.

Additionally, we’ll provide tips on how to select the right DBMS project to suit your learning goals. Stay tuned with us to explore the world of DBMS project ideas and embark on a journey of database mastery.

What is a DBMS?

Table of Contents

A Database Management System (DBMS) is like a digital organizer for storing and managing information. It’s a special computer software that helps people keep data in a structured way, so it’s easy to find and use. Think of it as a virtual file cabinet that stores things like names, numbers, and other important stuff.

The DBMS lets you add, change, and search for information without the need to understand the technical details. It’s like having a librarian who arranges books on shelves, so you don’t have to go hunting through a messy pile to find what you need. In a nutshell, a DBMS is a tool that makes handling data simpler and more organized, like a digital secretary for your information.

Importance of DBMS projects In Skill Development

Here are some importance of DBMS projects in skill development: 

1. Learning Data Organization

DBMS projects are crucial for skill development because they teach you how to organize and structure data. When you work on these projects, you learn how to arrange information in a systematic and efficient way. This skill is valuable in many professions where handling data is essential, such as business, research, and computer science.

2. Problem-Solving Skills

DBMS projects require problem-solving abilities. You need to figure out how to design databases, make them work smoothly, and troubleshoot issues. These problem-solving experiences help you develop critical thinking skills, which are handy not only in database management but also in various aspects of life.

3. Real-World Application

Working on DBMS projects gives you practical experience. You get to apply what you learn in a real-world context. This hands-on practice is an effective way to understand the concepts and skills you’re developing. It’s like learning to ride a bike by actually riding one, not just reading about it.

4. Collaboration and Communication

DBMS projects often involve teamwork. You’ll need to communicate and collaborate with others to design, implement, and maintain databases. This fosters your ability to work with a team, exchange ideas, and convey your thoughts effectively, which are valuable skills in any career.

5. Career Opportunities

Developing DBMS skills through projects can open up career opportunities. Many businesses rely on databases to store and manage their information, so having these skills can make you more attractive to employers. A strong background in DBMS is helpful for your job growth whether you want to work in IT, data analysis, or management.

50+ DBMS Project Ideas For Beginners To Advance Level Students

In this section we will discuss DBMS project ideas for beginners to advance level students: 

I. 17+ Easy DBMS Project Ideas For Beginners – Level

1. student information system.

Develop a database system to manage student records, including personal details, course registrations, and grades. This project will help you understand data modeling and CRUD operations in a DBMS.

Skills Required

• SQL for database operations.
• Database design and normalization.
• Basic user interface development.

2. Library Management System

Create a system for tracking books, patrons, and borrowing history in a library. This project will involve database design and implementing search and borrowing functionalities.

• Basic front-end development for user interface.

3. Employee Attendance Tracker

Build a system that records and manages employee attendance. This project will help you learn about data capture and management in a business context.

• Basic web development for data input.

4. Inventory Management System

Design a database to keep track of products, sales, and stock levels for a small business. This project will provide insight into inventory control and reporting.

• Basic front-end development for data visualization.

5. Task Management Application

Make a system for managing jobs that lets people add, change, and mark as finished tasks. This project will help you learn more about how to change data and connect with users.

• Web development for task management interface.

6. Online Bookstore

Develop an online bookstore where users can search for, view, and purchase books. This project will teach you e-commerce fundamentals and user experience design.

• Web development for the e-commerce platform.

7. Hospital Information System

Design a system to manage patient records, appointments, and medical history for a clinic or hospital. This project will involve complex data relationships and user access control.

• Security principles for patient data protection.

8. Blogging Platform

Create a blogging platform where users can write and publish articles. This project will enhance your knowledge of content management and user interaction.

• Web development for the blogging platform.

9. Budget Tracking Application

Build a budget tracker that allows users to input and manage their expenses and income. This project will help you understand financial data management.

• Web development for the budget tracking interface.

10. Music Library Organizer

Develop a system to organize and manage music collections. This project will involve metadata management and search functionality.

• Basic front-end development for music library interface.

11. Restaurant Reservation System

Create a system for making and managing restaurant reservations. This project will involve table management and reservation scheduling.

• Web development for the reservation system.

12. Event Management Database

Design a database for managing event details, attendees, and scheduling. This project will teach you event planning and data organization.

• Basic web development for event management.

13. Job Portal

Build a job portal where users can search for and apply to job listings. This project will enhance your understanding of job data management.

• Web development for the job portal.

14. Movie Database

Create a movie database with information on films, actors, and reviews. This project will involve data integration and user-driven content.

• Basic front-end development for the movie database.

15. Online Quiz System

Design an online quiz system where users can take quizzes on various topics. This project will teach you about quiz creation and user performance tracking.

• Web development for the quiz system.

16. Customer Relationship Management (CRM) System

Develop a CRM system for businesses to manage customer interactions and data. This project will involve user accounts, lead tracking, and customer communication.

• Web development for the CRM interface.

17. Real Estate Management System

Create a database to manage property listings, agents, and customer inquiries in the real estate industry. This project will involve complex data relationships and property search functionality.

• Web development for the real estate management system.

18. Online Auction Platform

Design an online auction platform where users can list items for bidding. This project will teach you about online auctions and real-time data updates.

• Web development for the auction platform.

II. 17+ Interesting DBMS Project Ideas For Intermediate – Level

Here are 17+ Interesting DBMS Project Ideas For Intermediate – Level: 

1. Human Resources Management System

Develop a comprehensive HR system that manages employee records, payroll, benefits, and attendance. This project will give you experience in complex database design and HR processes.

• SQL for complex database operations.
• Database design, normalization, and optimization.
• Web development for HR interface.

2. Hospital Management System

Design a sophisticated system for hospitals, including patient records, appointment scheduling, billing, and pharmacy management. This project will challenge your data modeling and security skills.

3. Online Banking System

Create a secure online banking platform with account management, fund transfers, and transaction history. This project will provide insights into financial data management and security.

• Database design and security.
• Web development with strong security practices.

4. E-Learning Platform

Build an e-learning platform with course management, student profiles, and progress tracking. This project will help you understand e-learning database structures.

• Database design and optimization.
• Web development for e-learning features.

5. Inventory Forecasting System

Design a system that predicts inventory requirements based on historical data and market trends. This project involves data analytics and forecasting.

• SQL for database operations and data analysis.
• Database design and data modeling.
• Statistical and data analysis skills.

6. Social Media Analytics Tool

Develop a tool that tracks and analyzes social media management tools metrics for businesses. This project will give you experience in data integration and analytics.

• Data integration and data collection.
• Data analysis and visualization tools.

7. Hotel Reservation System

Create a hotel reservation system with real-time availability, pricing, and booking. This project will involve complex data relationships and booking algorithms.

8. Supply Chain Management System

Build a supply chain management system that tracks products from manufacturing to delivery. This project will involve complex data flows and logistics.

• Understanding of supply chain logistics.

9. Customer Support System

Design a customer support system with ticket management, knowledge base, and customer profiles. This project will improve your customer relationship management skills.

• Web development for customer support features.

10. Online Voting System

Create an online voting system for elections or polls. This project will challenge your understanding of secure data handling and vote tallying.

11. Project Management Tool

Develop a project management system with task tracking, team collaboration, and reporting features. This project will enhance your project planning and management skills.

• Web development for project management features.

12. Retail Analytics Dashboard

Build a data analytics dashboard for retailers to track sales, inventory, and customer behavior. This project involves data integration and visualization.

13. Flight Reservation System

Design a flight reservation system with real-time flight data, booking, and seat management. This project will involve complex data relationships and booking algorithms.

14. Online Auction Platform

Create an advanced online auction platform with real-time bidding, notifications, and user profiles. This project will challenge your real-time data updates and auction management skills.

• Web development for real-time bidding and notifications.

15. Asset Tracking System

Design a system for businesses to track their assets, such as equipment and vehicles. This project will involve complex data relationships and asset tracking algorithms.

Understanding of asset tracking and management.

16. Hotel Revenue Management System

Develop a system that optimizes hotel room pricing based on demand and market conditions. This project will involve data analysis and pricing strategies.

• Pricing strategy and data analysis.

17. Library Information System

Create an advanced library information system that manages books, patrons, reservations, and late fees. This project will involve complex data relationships and library management.

• Web development for library management features.

18. Online Food Ordering System

Design a comprehensive online food ordering system with real-time order tracking and restaurant management. This project will challenge your real-time order processing and delivery management skills.

• Web development for real-time order tracking and restaurant management.

III. 17+ Stunning DBMS Project Ideas For Advance – Level

1. big data analytics platform.

Develop a platform for processing and analyzing large-scale datasets. This project will involve distributed database systems and complex data processing.

• NoSQL database systems like Hadoop or Cassandra.
• Data modeling for scalability.
• Distributed computing and data analysis tools.

2. Healthcare Data Integration System

Create a system that takes medical data from different sources, like medical equipment and electronic health records, and analyzes it. This project will test how well you can combine facts and use what you know about healthcare.

• SQL and NoSQL for data integration.
• Data modeling for healthcare.
• Healthcare data standards and privacy regulations.

3. Blockchain-Based Voting System

Create a secure voting system using blockchain technology for transparency and security. This project involves complex data encryption and distributed ledger systems.

• Blockchain development.
• Cryptography and data security.
• Understanding of election systems.

4. Predictive Maintenance System

Build a system that predicts equipment maintenance needs based on sensor data. This project will involve data analytics and predictive modeling.

• SQL for data analysis.
• Data modeling for predictive maintenance.
• Statistical analysis and machine learning.

5. Autonomous Vehicle Data Management

Design a database system for managing data generated by autonomous vehicles, including sensor data, GPS, and vehicle status. This project will challenge your data handling and real-time processing skills.

• Real-time data processing.
• Data modeling for autonomous vehicle data.

6. AI Chatbot for Customer Support

Develop an AI-driven chatbot for handling customer support inquiries. This project will involve natural language processing and sentiment analysis.

• SQL for data management.
• Natural language processing.
• Machine learning for chatbot training.

7. Sports Analytics Platform

Create a sports analytics platform for tracking player statistics, game performance, and team strategies. This project will challenge your sports data knowledge and analytics skills.

• Data modeling for sports analytics.
• Data visualization and analytics tools.

8. Financial Portfolio Management System

Design a system for managing investment portfolios, including asset allocation, risk assessment, and performance tracking. This project will involve complex financial data and risk analysis.

• Data modeling for finance.
• Financial analysis and portfolio management.

9. Smart Home Automation System

Build a system for controlling smart home devices and managing user preferences. This project will involve IoT integration and user experience design.

• IoT device integration.
• User interface and user experience design.

10. Genome Data Analysis Platform

Create a platform for analyzing genomic data, including DNA sequencing and genetic variations. This project will challenge your understanding of bioinformatics and data analysis.

• Data modeling for genomics.
• Bioinformatics tools and data analysis.

11. Stock Market Prediction System

Develop a system that predicts stock market trends and recommends investments. This project will involve data analysis and predictive modeling for finance.

• Machine learning for stock market prediction.

12. Smart Agriculture System

Design a system for monitoring and controlling agricultural processes using sensor data and automation. This project will involve IoT integration and agriculture knowledge.

• Agricultural knowledge and data analysis.

13. Energy Management System

Create a system for monitoring and optimizing energy consumption in buildings and industrial facilities. This project will involve data analysis and energy efficiency concepts.

• Data modeling for energy management.
• Energy efficiency principles and data analysis.

14. Virtual Reality Content Management System

Develop a CMS for virtual reality content, including 3D models, textures, and interactive experiences. This project will challenge your VR content management and user interface design skills.

• VR content management.
• User interface and VR experience design.

15. Space Exploration Data System

Design a system for managing data from space exploration missions, including telemetry, imagery, and scientific data. This project will involve data handling and scientific data analysis.

• Data modeling for space exploration.
• Scientific data analysis and visualization tools.

16. AI-powered Language Translation System

Create a language translation system using AI and natural language processing. This project will involve complex data processing and language understanding.

• Machine learning for language translation.

17. Weather Prediction and Analysis System

Develop a system for weather data collection, prediction, and analysis. This project will involve data integration, meteorology, and predictive modeling.

• Data modeling for meteorology.
• Weather data analysis and predictive modeling.

18. Video Game Analytics Platform

Build an analytics platform for tracking player behavior, in-game performance, and virtual economies in video games. This project will challenge your understanding of gaming data and analytics.

• Data modeling for game analytics.
• Data visualization and gaming industry knowledge.
• Cloud Computing Project Ideas
• Flutter Project Ideas

Tips For Choosing The Right DBMS Projects

Here are some tips for choosing the right DBMS projects: 

Tip 1: Define Your Needs First

Before choosing a DBMS project, it’s important to know what you need. Think about the kind of data you want to store, how you’ll use it, and what features are essential. This will help you pick a project that aligns with your specific goals, ensuring you don’t waste time on something that won’t meet your needs.

Tip 2: Consider Your Skills

Your existing skills matter. If you’re just starting with databases, opt for simpler projects to build a foundation. If you’re more experienced, challenge yourself with complex tasks. By matching the project’s difficulty level with your skills, you’ll learn and progress at a comfortable pace.

Tip 3: Research Different DBMS Options

There are various DBMS options available, each with its strengths and weaknesses. Do some research to find out which one suits your project best. MySQL, PostgreSQL, and SQLite are some popular choices. Choose the one that fits your needs and is compatible with your skills and resources.

Tip 4: Plan for Scalability

Think about the future. If your project might grow over time, consider a DBMS that can scale with it. This means the database can handle more data and users as your project expands. Planning for scalability ensures your project won’t outgrow the DBMS’s capabilities.

Tip 5: Budget and Resources

Consider your budget and available resources. Some DBMS software is free and open-source, while others require licenses and can be expensive. Additionally, you’ll need hardware and support. Make sure your project aligns with your financial and resource constraints to avoid unexpected costs.

In the dynamic landscape of data management , DBMS projects emerge as indispensable tools for honing crucial skills. This blog has illuminated the essence of Database Management Systems (DBMS), elucidating their role as digital organizers for structured data. It has underscored the significance of DBMS projects in fostering problem-solving abilities, real-world application, and teamwork skills. 

Additionally, the comprehensive compilation of 50+ DBMS project ideas, tailored for beginners to advanced-level students, serves as a wellspring of inspiration and practical learning. Empowered with the knowledge of selecting the right DBMS projects based on individual needs and skills, readers are equipped to embark on a transformative journey of skill development and data management proficiency.

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Want To Level-Up Your SQL? Get Building With These SQL Projects

In this article, I share the 15 best SQL projects in 2024 with source code.

Whether you’re looking to land a job as a database admin, enhance your portfolio, or boost your skills, I’ve included 15 SQL projects for beginners.

To help you build your skills, I’ve organized these SQL projects to be more challenging as you make your way through the list. This is great for leveling up and building your portfolio.

With a history spanning more than 25 years, SQL is still the standard language for relational databases, as shown by its number 4 ranking among developers.

And with the Bureau of Labor Statistics reporting an average salary of more than $100K for database administrators, building SQL projects can be very lucrative for your career.

So, if you’re ready, let’s dive into these SQL projects to help you further your database career.

• Is SQL Dying Out?

No! SQL (Structured Query Language) is most certainly not dying out.

In fact, it remains a crucial and widely used language in database management, data analysis, and business intelligence.

Sure, there is a lot of buzz around NoSQL versus SQL , but a huge number of organizations continue to rely on relational databases and, by extension, SQL for the primary querying language.

So, SQL is still very much essential for data warehousing, analytics, data integration, and reporting. This means that the demand is as high as every for skilled SQL professionals, including those with SQL certifications .

And yes, while new technologies and languages continue to emerge in the data field, SQL continues to be a foundational skill and tool for data professionals.

• Best SQL Projects For Beginners in 2024

One of the main benefits of SQL is that it’s easy to learn, meaning that anyone, including beginners with little programming experience, can learn SQL . 

That said, one of the very best ways to learn SQL is to get involved with SQL projects.

I'm a strong advocate for learning by building, as there's no substitute for creating something that could be used in real-world scenarios.

After all, if you're looking to learn SQL, chances are pretty high that you plan to be manipulating data in a meaningful way with a relational database, so why not learn to do this by building relatable projects?

Now, depending on your current skill level, you might be uncertain where to start.

If you are brand new to the world of SQL and databases, you might want to consider an SQL course to pair with your project building.

That said, I've organized these SQL projects so that you can gradually build up in difficulty as you make your way through the list.

So, have your SQL cheat sheet ready, and let's start building some SQL projects!

1. Blood Donation Management System

This beginner SQL project uses a database to store information about medical patients for a blood bank. When designing the database or thinking about the data you want to store or query, consider the patient's name, unique ID, blood type, medical history, and phone number as a starting point.

If these concepts seem a little fuzzy, consider refreshing your memory with an SQL book or online documentation.

It’s also a good idea to create an Entity-Relationship (E-R) diagram and a schema to start implementing these fields within a database before trying to normalize it.

Source code

2. Cooking Recipe Website

In this SQL project, you can design a website with a recorded procedure to list your cooking instructions under various headings. Here are some tips for displaying and storing your information.

• Utilize HTML text editor to write a recipe post or blog
• Highest rated/liked "Recipe of the Day"
• Cooking videos viewed in the last five hours

You can also add a feature that allows individuals to leave feedback and review recipes and another that allows you to modify or remove a recipe in the admin area. Head over to the GitHub repository using the source code link below to get started.

3. Library Database Management System 

An online library management system is user-friendly for assigning books and viewing the many books and topics accessible under a category.

The C# programming language simplifies creating this kind of management information system (MIS). Additionally, rapid information retrieval is possible with SQL commands.

Consider your college library, where lecturers and students can check books out. Typically, both groups have different deadlines for returning the book, ranging from a few days to a few weeks.

Additionally, although they may be identical copies of the same book written by the same author, each has a separate ID. This means that every book in a library management system contains an entry that details who issued it, how long it was on loan, how much any fines came to, and other helpful information.

4. Online Retail Database Software

Online retail application databases are some of the most well-known SQL practice projects as the importance of e-commerce continues to grow. 

The application enables customers to sign up and make online purchases. Users also receive a unique client ID and password during the registration process, which gathers the user’s name, contact details, address, bank details, etc.

After making a purchase, a user bill is created based on the item's quantity, price, and applicable discounts. Before the item is sent to the chosen location, the customer must select a payment option to complete the transaction.

Take a Short Course from UC Berkeley on Data Science Essentials

5. Inventory Management System

Inventory management and control ensure that a company keeps enough materials and goods on hand to satisfy customer demands quickly.

By maintaining inventory at the ideal level, companies can increase profitability by avoiding undesirable understocking and overstocking scenarios. In addition, an inventory management and control system will keep the company informed of how many goods and services are in stock.

The design goals for an inventory control management database include securing the necessary items, improving inventory turnover, maintaining safe stock levels, acquiring raw materials at a lower price, lowering storage requirements, minimizing insurance, etc.

6. Voice Commands Transport Enquiry System

With this innovative tool, you can travel faster and avoid those long queues we’ve all seen at bus and train stations.

By using tech-powered systems for transport inquiries, transport operators can enjoy significant savings in time and labor. With this project, commuters can ask questions about their various transportation options.

To do this, you can create an automation process that takes voice commands and responds with speech to share information about bus stops, airports, and train stations. 

7. Carbon-Emission Calculator

Environmental preservation has garnered a great deal of attention in recent years. By creating a web app that calculates a building's carbon footprint, you can actively contribute to furthering the cause.

This carbon calculator combines information on floor space and annual working days with user-selected or custom attributes on building types, water fixture types, climate zones, etc.

You can then link emissions outputs to energy use, water usage, transportation, and solid waste disposal.

A similar tool was conceptualized by American business CTG Energetics Inc., which later converted it from an Excel file to a SQL web application. 

8. Railway Control System Database

This DBMS requires you to model various rail lines between connecting stations, train stations, train information (each train has a unique ID), rail routes, train schedules, and commuter schedules.

To simplify the project, you can suggest that every train travels to its destination in one day and runs every day. 

For recording purposes, concentrate on monitoring the following information for each station along a rail route.

• When a train pulls into a station on schedule
• When a train departs from a station (out-time)
• The positioning of stations along the route

9. Student Database Management

This project can be used to help students with record-keeping. The SQL server would include general student data, such as attendance records, mark or score sheets, fee records, contact details, enrollment year, courses, etc.

An automated student database management system can significantly simplify a university's administrative processes.

10. Hospital Management System

This web-based application or system allows you to control how a hospital is run.

It establishes a uniform record of clients, physicians, and rooms that is only accessible to the administrator. In the database, every doctor and patient will get a unique ID and be connected based on the current treatments.

Separate modules will also be available for hospitalization, patient discharge summaries, nurse responsibilities, medical supplies, etc.

11. Payroll Management System

Based on how widely this system is used across many business sectors, this SQL project is among the most popular for beginners.

A business salary management system computes employees' monthly pay, tax rates, and social security benefits. It uses employee information (name, pay scale, designation, benefits, etc.) and time sheets, including leave taken, to calculate salaries.

The application outputs bank files and pay stubs based on specific formulas, and the tax office also receives a similar tax file, which is created and stored in the database.

12. Grocery Store Sales 

Every day, tens of thousands of consumers shop at supermarkets for groceries and household goods.

Depending on region or gender, we can use this data to understand customer preferences for payment methods, peak times for visits, and participation in loyalty programs. And we can use this to adjust grocery store policies to raise sales and customer satisfaction.

This project uses a dataset that contains information gathered over three months from three supermarket stores. We can answer a range of questions by examining this dataset.

• Does the percentage of customers participating in the rewards program affect gross income or the mode of payment?
• Which branch has the best performance in the rewards program?
• Does customer feedback affect membership?
• Are there any indicators that differ for men and women?

13. Centralized College Database 

This system is similar to the student DBMS system we discussed earlier.

A college has academic departments, including English, Mathematics, History, etc. Each department also provides a range of courses that teachers can oversee using this system. 

Consider the scenario where a professor teaches both statistics and calculus. A student may enroll in either of these classes if they are a mathematics major, but a given course can only have one teacher; otherwise, there would be unusual overlaps. 

14. Food Service Database SQL Project

Eateries extend their food services beyond their physical locations by offering online delivery options via website pages. 

Additionally, restaurants can accept phone orders and send delivery staff to deliver each order. However, delivery people staff can only deliver orders within a given zip code, and they cannot go outside of this. 

In this project, the main idea is to maintain records for previous customers so they can be offered discounts for future orders. 

15. Power Bill Database System

This SQL project idea is helpful for private-owned electric companies that require a database to manage their ever-growing datasets.

This project allows you to access the example database's user category and admin sections, which will enable you to experiment with the admin operations of a power company’s billing system.

What Is SQL? 

SQL is an acronym for Structured Query Language, a standard language used to communicate with databases. SQL commands are used to ask questions (queries) about data in a database, retrieve data from a database, and manipulate data in a database. 

It was initially called Structured English Query Language by IBM but later changed to Structured Query Language. 

SQL is used to write lines of code that query the database to fetch or store data.

When you send an SQL request to a database, the Database Management System (DBMS) processes the request and sends feedback to the user. SQL generally specifies how data is collected, organized, and extracted from/to the database. 

SQL is different from common programming languages because it focuses on what the computer should do rather than how it should do it . 

• Features & Uses of SQL

Let’s take a look at the key features and applications of SQL in modern-day databases:

Main Features of SQL:

• Data Querying: Use SQL queries to retrieve specific data from a database using SELECT statements, allowing for data filtering and sorting.
• Data Modification: Operations like INSERT, UPDATE, and DELETE are used to add, modify, or remove data, ensuring database integrity.
• Data Definition: Commands like CREATE TABLE, ALTER TABLE, and DROP TABLE  define and maintain table structures, including columns, data types, constraints, and indexes.
• Data Integrity: Enforces data integrity through constraints like primary keys, foreign keys, unique constraints, and check constraints.
• Transaction Control: Commands like COMMIT, ROLLBACK, and SAVEPOINT manage transactions and ensure data integrity with ACID properties.
• Security: Administrators can grant or revoke permissions, ensuring only authorized users access and modify data.
• Aggregation and Analysis: Aggregate functions (SUM, AVG, COUNT, etc.) facilitate data calculations and summarization for analysis and reporting.
• Joins: Combine data from multiple tables, enabling complex data retrieval and analysis.
• Subqueries: Use subqueries for advanced data retrieval and manipulation.
• Views: Create virtual tables (views) to simplify complex queries and offer data access abstraction.

Typical Use Cases For SQL:

• Database Management: SQL is essential for managing relational databases, including data creation, updates, and queries.
• Reporting: SQL is crucial for generating reports and deriving insights from data and large datasets.
• Web Development: SQL is integral to web applications, enabling data storage and retrieval for backend development.
• Business Intelligence (BI): SQL is fundamental for building data warehouses, OLAP cubes, and dashboards used in BI for business data analysis.
• Data Mining: SQL complements data mining and machine learning for extracting patterns from extensive datasets.
• Data Migration: SQL is valuable for migrating data between databases, aiding system transitions and data consolidation.
• E-commerce: SQL manages product catalogs, inventory, and customer data in e-commerce platforms.
• Healthcare and Finance: SQL securely handles patient records, financial transactions, and sensitive data in healthcare and finance systems.
• Mobile Apps: SQL databases enable data storage in mobile apps, supporting offline data interaction.
• Data Warehousing: SQL is used to design and manage data warehouses for historical data used in analysis and reporting.
• Wrapping Up

So there you have it, the 15 best SQL projects in 2024 for beginners. 

To help you build your skills, each of the SQL projects I’ve covered was designed to be more challenging as you make your way through the list. 

The idea here is to help you level up your SQL skills naturally while also enhancing your portfolio with these SQL projects.

So whether you’re starting in database admin or keen to enhance your portfolio, each of the SQL projects I’ve shared is ideal for doing just that!

Whichever SQL project you choose to build, I hope you have fun, and I wish you the best of luck with your database career!

This article has covered 15 different SQL projects for beginners that you can use to learn about databases while improving your SQL skills.

Looking for ways to take your SQL skills into a data science career? Check out:

Coursera's SQL for Data Science from UC Davis

• Frequently Asked Questions

1. How Do I Create an SQL Project?

Projects with SQL are a collection of databases and tables that store data. You can create an SQL project in several steps, depending on your software. 

• Go to File > New > Project
• Select SQL Project from the list of templates (or select File > New > Database)
• Enter a database name and click Save
• Ensure you have the correct version of the SQL software you're working with

2. How Do I Put My SQL Project on My Resume?

Firstly, you can list the entire project. But you must make it easy for an employer to read by putting the most important parts at the top of each section. So, for example, if you implemented an online database with a form-filling module and reporting system, just focus on these two components.

Secondly, you can break your project into smaller sections like "User Interface Design", "Database Design", etc. This makes it easier for an employer to understand the time that went into each component of the project without having to read everything.

3. How Do I Practice an SQL Project?

SQL is a complex language; it can feel overwhelming to learn it all at once. It's better to start with SQL database projects for a DBMS like SQLite or look for MySQL projects for beginners. You can then practice by working on your own small project ideas, finding existing databases that need work, or trying out the simple SQL projects we’ve listed above.

1. Stack Overflow. Stack Overflow Developer Survey 2023: Most Popular Technologies [Internet]. Stack Overflow; [date unknown; cited 2024 Jan 15]. Available from: https://survey.stackoverflow.co/2023/#technology-most-popular-technologies

2. Bureau of Labor Statistics, U.S. Department of Labor. Occupational Employment and Wages, May 2022, 15-1242 Database Administrators and Architects [Internet]. [updated 2021 Mar 31; cited 2024 Jan 15]. Available from: https://www.bls.gov/oes/current/oes151242.htm

A cheerful, full of life and vibrant person, I hold a lot of dreams that I want to fulfill on my own. My passion for writing started with small diary entries and travel blogs, after which I have moved on to writing well-researched technical content. I find it fascinating to blend thoughts and research and shape them into something beautiful through my writing.

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In this article

• What Is SQL? 
• Download SQL Injection Cheat Sheet PDF for Quick References SQL Cheat Sheets
• SQL vs MySQL: What’s the Difference and Which One to Choose SQL MySQL
• What is SQL? A Beginner's Definitive Guide SQL

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Here are 499 public repositories matching this topic..., samarth-p / college-erp.

A college management system built using Django framework. It is designed for interactions between students and teachers. Features include attendance, marks and time table.

• Updated Apr 22, 2024

PuneethReddyHC / online-shopping-system-advanced

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PuneethReddyHC / online-shopping-system

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syedibrahim / Pharmacy-Management-System

Java project using Swing and MySql for pharmacy management.

• Updated Dec 23, 2020

PuneethReddyHC / event-management

helps to register an users for on events conducted in college fests with simple logic with secured way

• Updated Mar 15, 2024

niteshkumartiwari / B-Plus-Tree

Mini Database System using B+ Tree in C++ (Simple & Self-Explanatory Code)

• Updated Dec 24, 2022

vinitshahdeo / Library-Management-System

[DBMS Project] An interactive web portal for automating various manual processes done by librarian.

• Updated Oct 2, 2020

winston-dsouza / Online-Food-Ordering-System

Online Food Ordering And Order Retrieval System

• Updated Jul 31, 2023

thealoneprogrammer / Musical-World

DBMS Mini Project that basically designed for online music player

• Updated Mar 21, 2024

vaibhavverma9999 / Hotel-Management-System

This is a Hotel Management System. Languages used are HTML, CSS, JavaScript, PHP and MySQL.

• Updated Nov 23, 2021

Bharat-Reddy / Hostel-Management-System

A system built for hostel room allocation for our College(NIT Calicut) as a part of DBMS Course.

• Updated Mar 7, 2022

Sid-149 / DBMS-Movie-Ticket-Booking-System

This repository contains the source code for Online Movie Ticket Booking System, which was a Mini Project for Database Management System (DBMS).

• Updated Jan 3, 2021

adityarverma / railway-management-system

Railway Management System website built as course project in DBMS subject,B.Tech. Used SQL , html ,css and php.

• Updated Nov 5, 2020

nikhilkeshava / online-course-registration-

online course registration by using html,css,js,and php and final year and engineering project - for demo

• Updated Apr 25, 2024

rutujar / Online-Food-Delivery

5th SEM DBMS Mini Project under VTU CBCS.

• Updated Feb 6, 2021

chandandas27 / Bank-Management-System

A Database project on Bank Management System using JavaFX and MySQL

• Updated Jan 25, 2020

kenil0811 / Library-management-system

a simple website for library management system

• Updated Nov 8, 2019

inboxpraveen / FIFA-18-Management-System

This repository contains the whole project. This project was intended to exhibit as a DBMS project but it can also act as a web development project as it includes complete front end and back end.

• Updated Jan 25, 2023

prashant333 / gym-management

Gym Management System provides an easy to use interface for the users and a database for the admin to maintain the records of gym members.

• Updated Mar 18, 2023

ssahibsingh / Social-Media-Database-Project

📊 This project is part of Lab Evaluation of Course Fundamentals of Database Management Systems Lab.

• Updated Nov 24, 2022

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Reference management. Clean and simple.

The top list of academic research databases

2. Web of Science

5. ieee xplore, 6. sciencedirect, 7. directory of open access journals (doaj), get the most out of your academic research database, frequently asked questions about academic research databases, related articles.

Whether you are writing a thesis , dissertation, or research paper it is a key task to survey prior literature and research findings. More likely than not, you will be looking for trusted resources, most likely peer-reviewed research articles.

Academic research databases make it easy to locate the literature you are looking for. We have compiled the top list of trusted academic resources to help you get started with your research:

Scopus is one of the two big commercial, bibliographic databases that cover scholarly literature from almost any discipline. Besides searching for research articles, Scopus also provides academic journal rankings, author profiles, and an h-index calculator .

• Coverage: 90.6 million core records
• References: N/A
• Discipline: Multidisciplinary
• Access options: Limited free preview, full access by institutional subscription only
• Provider: Elsevier

Web of Science also known as Web of Knowledge is the second big bibliographic database. Usually, academic institutions provide either access to Web of Science or Scopus on their campus network for free.

• Coverage: approx. 100 million items
• References: 1.4 billion
• Access options: institutional subscription only
• Provider: Clarivate (formerly Thomson Reuters)

PubMed is the number one resource for anyone looking for literature in medicine or biological sciences. PubMed stores abstracts and bibliographic details of more than 30 million papers and provides full text links to the publisher sites or links to the free PDF on PubMed Central (PMC) .

• Coverage: approx. 35 million items
• Discipline: Medicine and Biological Sciences
• Access options: free
• Provider: NIH

For education sciences, ERIC is the number one destination. ERIC stands for Education Resources Information Center, and is a database that specifically hosts education-related literature.

• Coverage: approx. 1.6 million items
• Discipline: Education
• Provider: U.S. Department of Education

IEEE Xplore is the leading academic database in the field of engineering and computer science. It's not only journal articles, but also conference papers, standards and books that can be search for.

• Coverage: approx. 6 million items
• Discipline: Engineering
• Provider: IEEE (Institute of Electrical and Electronics Engineers)

ScienceDirect is the gateway to the millions of academic articles published by Elsevier, 1.4 million of which are open access. Journals and books can be searched via a single interface.

• Coverage: approx. 19.5 million items

The DOAJ is an open-access academic database that can be accessed and searched for free.

• Coverage: over 8 million records
• Provider: DOAJ

JSTOR is another great resource to find research papers. Any article published before 1924 in the United States is available for free and JSTOR also offers scholarships for independent researchers.

• Coverage: more than 12 million items
• Provider: ITHAKA

Start using a reference manager like Paperpile to save, organize, and cite your references. Paperpile integrates with PubMed and many popular databases, so you can save references and PDFs directly to your library using the Paperpile buttons:

Scopus is one of the two big commercial, bibliographic databases that cover scholarly literature from almost any discipline. Beside searching for research articles, Scopus also provides academic journal rankings, author profiles, and an h-index calculator .

PubMed is the number one resource for anyone looking for literature in medicine or biological sciences. PubMed stores abstracts and bibliographic details of more than 30 million papers and provides full text links to the publisher sites or links to the free PDF on PubMed Central (PMC)

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Databases of NIH-Funded Research Projects

Interested in nih prevention research portfolio.

Learn how ODP monitors and analyzes NIH prevention research .

Use these databases to learn more about research funded by NIH, and review research projects, publications, and patents resulting from NIH funding.

RePORT - Research Portfolio Online Reporting Tools

Find tools, reports, data, and analyses to help you learn more about NIH-funded research and spending. Two key parts of this site are the Research, Condition, and Disease Categorization (RCDC) and the Research Portfolio Online Reporting Tools Expenditures and Results (RePORTER). 

RCDC – Research, Condition, and Disease Categorization

Get a big picture overview of NIH spending. This database provides estimates of NIH funding based on over 250 research categories. If you drill down far enough through the RCDC database, you'll end up in the RePORTER.

RePORTER – Research Portfolio Online Reporting Tools Expenditures and Results

Explore the projects, investigators, publications, and patents NIH is currently funding. Each project includes the names of funded researchers, a potential way to find new collaborators.

ClinicalTrials.gov

Find publicly and privately supported clinical studies of human participants conducted around the world.

Welcome to the UKRI gateway to publicly funded research and innovation

Search for and analyse information on the latest innovative research in the uk.

9 Exciting DBMS Project Ideas & Topics For Beginners [2024]

Do you want to work on database projects but don’t know where to start? Then you’ve come to the right place. In today’s article, we’ll discuss some of the most exciting and engaging database project ideas. Check out our  free courses  to get an edge over the competition.

We have discussed all project ideas in detail so you can understand them better and work on them accordingly. Completing projects is a great way to show your knowledge and strengthen your skills. You can choose a project according to your interests and expertise. Let’s get started. 

Data Base Management Systems are a software to store, run queries or retrieve any data. It is very useful because it facilitates storing the data at a centralised location. Also, it reduces redundancy and data inconsistency. The other uses of the Data Management System are-

• Data Indexing
• Query Processing
• Data Independence
• Uniformity in the data administration

Along with its uses, many industries are using DBMS, and it has become the core of their data administration. The industries which use the DBMS are mentioned below-

• Manufacturing
• Social Media
• Telecommunication

Learn to build applications like Swiggy, Quora, IMDB and more "}" data-sheets-userformat="{"2":1063809,"3":{"1":0},"10":2,"11":0,"12":0,"14":[null,2,0],"15":"Calibri, sans-serif","16":11,"23":1}" data-sheets-textstyleruns="{"1":0}{"1":16,"2":{"2":{"1":2,"2":1136076},"9":1}}{"1":129}" data-sheets-hyperlinkruns="{"1":16,"2":"https://www.upgrad.com/tech-academy-fsd/?utm_source=BLOG&utm_medium=TEXTCTA&utm_campaign=TA_FSD_PGC_BLOG_TEXTCTA_"}{"1":129}"> Learn to build applications like Swiggy, Quora, IMDB and more

What is DBMS?

DBMS stands for “Database Management System.” It’s a software system designed to manage, store, organize, and retrieve data from a database. A database is a structured collection of data organized and stored to allow for efficient querying, manipulation, and analysis.

A DBMS provides an interface and tools for users and applications to interact with the database without worrying about the underlying complexities of data storage and retrieval. It offers various features and functions that facilitate data management.

Common examples of DBMSs include MySQL, PostgreSQL, Oracle Database, Microsoft SQL Server, SQLite, and MongoDB. Each DBMS has its strengths, features, and use cases. The choice of a specific DBMS depends on factors such as the nature of the data, scalability requirements, performance considerations, and application needs.

What are the Types of DBMS?

Several types of Database Management Systems (DBMS) are designed to cater to specific data management needs and scenarios. Here are some of the main types of DBMS:

Relational DBMS (RDBMS)

This is one of the most common types of DBMS. It organizes data into tables with rows (records) and columns (fields) and establishes relationships between tables using keys. SQL is typically used to query and manipulate data. Examples include MySQL, PostgreSQL, Oracle Database, Microsoft SQL Server, and SQLite.

Object-Oriented DBMS (OODBMS)

These systems are designed to handle complex data structures, including objects with attributes and methods. They are useful for applications that deal with object-oriented programming languages. Examples include ObjectStore and ObjectDB.

Document DBMS

Also known as document stores or NoSQL databases also store and retrieve data in flexible, schema-less document formats like JSON or XML. They are well-suited for storing and managing semi-structured or unstructured data. Examples include MongoDB, Couchbase, and CouchDB.

Key-Value Stores

These databases store data as key-value pairs, where each value is associated with a unique key. They are efficient for simple read-and-write operations, making them suitable for caching and high-throughput scenarios. Examples include Redis, Amazon DynamoDB, and Riak.

Columnar DBMS

These systems store data in columns rather than rows, which can provide significant performance benefits for certain analytical workloads. They are optimized for data warehousing and business intelligence applications. Examples include Apache Cassandra and Google Big Table.

Graph databases store data in nodes and edges, representing entities and relationships between them. They are designed for managing and querying highly interconnected data, such as social networks or recommendation systems. Examples include Neo4j and Amazon Neptune.

Time Series DBMS

These databases are designed to handle time-stamped data, such as sensor data, logs, and financial market data. They provide efficient storage and querying mechanisms for time-series data patterns. Examples include InfluxDB and OpenTSDB.

NewSQL Databases

These are a new generation of relational databases whose main aim is  to combine the advantages of traditional databases via scalability and performance capabilities. For examples CockroachDB and NuoDB.

Spatial DBMS

These systems, such as geographic information systems (GIS), are specialized for storing and querying spatial data. They enable efficient manipulation and analysis of location-based information. Examples include PostGIS and Oracle Spatial.

In-Memory DBMS

These dbms projects store data completely in memory by offering high-speed data retrieval and processing. They are often used for real-time analytics and applications that require rapid data access. Examples include SAP HANA and VoltDB.

Curious about the foundational elements of database management? Learn about the types of keys in DBMS that play a crucial role in organizing, accessing, and maintaining data efficiently.

DBMS Project Ideas

The following are some easy and exciting dbms project ideas. Choose one according to your requirements:

1. E-commerce Platform

You must’ve seen multiple online retail platforms. Some great examples of such platforms are Amazon and Flipkart. In this DBMS project, you’ll have to develop a similar e-commerce platform, where a customer can register and buy a product.

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Your developed platform should have a registration window where the user will provide their name, bank name, and bank account number. This information will enable them to make transactions easily. After they’ve registered, the system should give them unique user IDs and customer IDs. They should have the option to set up their passwords. 

Any e-commerce platform would be incomplete without having any products to sell, wouldn’t it? So it should have product listings as well, classified according to their prices (or some other criterion). The user should have the option to buy one or more products from your platform. And after the user makes a purchase, the system would generate an invoice, which will contain the user’s name. The system can allow ordering from different suppliers according to availability. 

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Using DBMS for an e-commerce platform will give you extensive experience in this technology. It’ll help you understand how online platforms use and interact with databases. Still, this project will undoubtedly take some time and effort. 

This project makes for one of the most relatable database projects , as e-commerce uses databases for tracking the transactions, and products database, the marketing team also uses the DBMS to track the traffic, acquire potential customers and retain the existing customers. The e-commerce industry is running on having a strong database because it is online and data is the new oil. Also, just having data is not enough, having the strong ecosystem of having a string core database is what makes it all efficient.

Also try: Full stack project ideas and topics

2. Inventory Management

Every organization has an inventory to manage, which takes up a lot of resources. Usually, an organization would assign the duty of inventory management to two or more people who’ll keep an eye on it and ensure that all the supplies are available. If any item is missing, the manager would order the same. This system works effectively if the organization is tiny, but that’s not always the case.

You can solve this problem of businesses and build an inventory management system. The goals of your design would be the following:

• Increase the inventory turnover
• Optimize the inventory and the stock levels
• Reduce the number of safe stock levels
• Get low material prices.
• Make it easy to understand and access.
• Reduce the operational costs of the inventory (storage cost, insurance cost, etc.)
• Classify the objects in the inventory according to their stock levels

As you can see, an inventory management system will allow its client to save a lot of time and resources. They can find the stock levels in their inventory and plan accordingly. It will make the enterprise more efficient and productive. 

This is one of the beginner-level database projects on this list. You can work on it even if you don’t have much experience with developing database solutions. 

This is one of the good database project ideas , as inventory is the core of any business. Especially after the pandemic hit, most businesses have turned online. Not only the recently turned online businesses but the recent and old businesses were well. If an organisation has a solid core management system for inventory tracking, they could not only increase the business but also can understand the leakages.

The following can be the sub-topics-

• What is inventory management?
• Why inventory management?
• How DBMS is useful for inventory management?
• What are the methods?
• Micro, Medium, and Macro level businesses that use DBMS for inventory.

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3. Railway System

The railway network of our country is one of the most complex public establishments. You can design a database solution for this network and make the management of the same more natural. Your system should have the following pieces of information:

• Station names
• Tracks that connect those stations (to keep things simple, you can assume that only one track runs between two stations)
• Train IDs with names
• Schedules of the trains 

The train schedules should have information on the stations from where the train starts and by when it reaches the destination. It should also include information on which stations it passes through during its journey. 

To keep things simple, you can assume that every train completes its journey within a day, and they run daily. However, you’ll also need to store information on the sequence of the stations a train passes through. For example, if a train starts from Delhi and goes to Kolkata through Lucknow, then you’ll need to add the arrival and departure times of the train for all these stations. Keeping the stations in sequence will allow easy management of trains and their data.

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Till here, the project is rather easy. You can make it more challenging by adding the passenger information of every train such as its coaches, seat numbers, types of coaches, passenger names, and so on. This project might take some time to complete, but it’ll help you showcase your knowledge of database management solutions while solving a significant issue of a public authority. 

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India has a very big network of railways, not only that but the metros also have become a very significant part of commutation over the country. Both these types of railways have a wide network and people’s daily commutes depend upon them. Keeping a track of the train’s arrival, departure, first time of arrival at a particular station and last train departure also have a big role to play as people plan their schedules accordingly. Keeping a track of these is really important. Not only that but also keeping the tracks safe from collisions and any haphazard also is important for the smooth operation of the network. This brings another factor which is revenue, the need for revenue generation arises because of the large number of users. Keeping a track of tickets, and distance travelled is necessary in order to track the overall revenue which eventually helps in the country’s GDP. This is why is one of the important topics for the database project topics .

The sub-topics could include the following-

• What are the types of railway networks?
• How DBMS could be used in the railway industry?
• Advantages of using DBMS in the railway industry.
• Disadvantages of not using the DBMS in the railway industry.

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4. college data management.

Colleges have multiple departments where every department offers many courses. These departments have a head (HOD) and various instructors. Even though there are many instructors, one instructor can only work in one department. As you can see the organization structure of a college is quite complicated and requires a lot of effort to manage. 

In this database project, you can build a solution to tackle this problem. It would store all this information about the college and its departments. However, the information we’ve discussed above isn’t sufficient for a college. We need to mention the courses as well.

A course can have only one instructor, but an instructor can have multiple classes. You’d need to add this information to the database system as well. You can make this project more advanced by adding the course enrollment information. 

You can add the enrollment information of the students as to how many students have taken a particular course. 

The system should allow easy access. Your developed DBMS-based solution would allow a college to save a lot of time and resources; moreover, the user could see all the college information from one place and modify it accordingly. 

Along with that, colleges or universities hold a lot of sensitive information about their students’ such as-

• Personal information
• Bank Details
• Parent’s information, etc.

These kinds of personal information need to be secured from online theft and unauthorised access. The security of this information is the responsibility of the college and universities. And this is why the university management system is one of the important topics for database projects.

The sub-topics could include-

• What is university database management?
• Why is university database management important?
• Advantages and disadvantages of DBMS for university database management.

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5. library data management.

If you’re an avid reader, then chances are, you must’ve gone to a library. And you may already know how many books a library has to keep track of. Libraries don’t have a lot of staff, but they have to keep a record of all the books they have and the books they have lent. You can simplify the management of a library’s data. 

You should start with students and faculties, i.e., people can get books from the library. Now, there would be a significant difference between the number of books a student can get and the number of books a faculty can get. So, add those limits in your system as well. Then, every book would have a unique ID.

Books with the same title and author would have different IDs according to their copies. You’ll have to add entries for every book. And then, add the details of who issued the book and when with the duration of their ownership. Your DBMS-based solution should also have details on the books that people haven’t returned and the due fines. 

Along with keeping the labeling organised for the books, it is equally necessary to modify the data and keep constant track of the books which keeps getting published and returned. Also keeping the track of the worn-out books, restock, newly added books, etc. Along with that, libraries also maintain the data genrewise. All of these constitute the library database management system that helps the libraries run their operations on autopilot and also helps the librarians.

• Types of data libraries stored.
• What is a library database management system?
• Why is library database management important?

Read:  SQL Project Ideas for Beginners

6. Solution for Saving Student Records

You can build a solution that saves student records for an educational institution. Handling student records is no easy feat. You need to keep their name, subjects, fees, any provision of concession, and their academic progress. A DBMS-based solution will allow the client to save a lot of time and effort.

Your design goal should be to have separate files for each student where the data will store information about the student. You can start by adding the following sections:

• Student’s Name
• Subjects (or Stream)
• Grades (or Marks)
• Concessions (or Scholarship)
• Additional Information

It’s one of the easy database project ideas. You can take it a step further, and add the option to include students of different grades or sections. Your designed system should allow the admin to enter the details mentioned above. And the admin should be able to access it easily. 

7. Hospital Data Management

Hospitals have unique data requirements. Not only do they have to maintain the medical records of their patients, but they also have to manage their staff and its multiple departments. You can solve the data-related problems of hospitals by creating a DBMS solution. 

First, you should assign unique IDs to the patients and store the relevant information under the same. You’ll have to add the patient’s name, personal details, contact number, disease name, and the treatment the patient is going through. You’ll also have to mention under which hospital department the patient is (such as cardiac, gastro, etc.).

After that, you should add information about the hospital’s doctors. A doctor can treat multiple patients, and he/she would have a unique ID as well. Doctors would also be classified into different departments. 

Patients would get admitted into rooms, so you’ll need to add that information to your database too. Apart from that, there would be distinct rooms (ICUs and Operation Theaters) in the hospital. Then, you’d have to add the information of ward boys and nurses working in the hospital and assigned to different rooms. 

You can start with a small hospital and expand it as you move on. Make sure that the data is easily understandable and accessible. 

Also, the hospitals have a lot of information with them such as the patient’s history, pharmacy, test results, number of beds, information about the helping staff, etc. All of this data needs to be managed as they are crucial to the hospital’s operations and helps in its smooth functioning. This database management helps in routine or emergency visits as well. 

• Which types of data do the healthcare industry hold?
• What are the advantages of DBMS in the healthcare industry?
• What are the disadvantages of not using DBMS in the healthcare industry?

8. Blood Donation Management

Another DBMS project idea is to create a blood donation clinic. You should start by adding donor names and assigning them unique IDs. Add their details and relevant information such as blood type, medical report, and contact number. Similarly, add patient names with unique IDs, details on their medical conditions, and blood types. 

After you’ve created a database of patients and donors, you can work on a database for the blood bank. There, you’ll have to add the name of the blood bank, its staff details, operating hours, and address. 

DBMS is helpful in the blood donation industry by keeping the track of the acceptors and donations. This helps the hospital in keeping a record of the blood donors as well in case of any emergency. And also to help them keep track of the storage.

9. Payroll Management Solution

Managing payroll is one of the most crucial aspects of an organization. So you can create a database solution for this purpose as well. Here, you’ll first have to assign a unique ID to every employee. And then, you’ll need to add the details of the same employee, such as their name, role, department, etc. You’ll have to add information on the unpaid salary of the employee, and the date on which the salary has to be released. Similarly, you’ll have to add the time from which the salary is due. 

After that, the database would need the information on the HRA, DA, medical allowance, and other additions to the basic pay. Similarly, you’ll need to add data on the deductions you need to make (if there are any) such as extra leaves. You can add more difficulty to the project by creating a management solution for a significant organization. In this one, make sure that you add the departmental details of the employee under his/her ID. 

Also read: Web Developing Project Ideas For Beginners

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Learn more about dbms.

Embarking on a journey into Database Management Systems (DBMS) opens up a world of opportunities for beginners. Understanding the fundamentals of DBMS, including its types such as relational, object-oriented, and distributed systems, lays a solid foundation for diving into practical applications. The provided DBMS project ideas offer a fantastic starting point, enabling enthusiasts to apply theoretical knowledge to real-world scenarios.

Continuously exploring and learning more about DBMS not only enriches one’s understanding of the subject but also equips them with invaluable expertise for future endeavors in the ever-evolving field of data management.

We hope you will have an excellent learning opportunity in executing these projects. If you are interested to learn more about DBMS, Full-stack management and need mentorship from industry experts, check out upGrad & IIIT Banglore’s Executive PG Program Full-Stack Software Development .

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Frequently Asked Questions (FAQs)

Database Management System (DBMS) software applications essentially structure and organize data files to provide easy access and standard data assortment. It essentially categorizes the data system so that the user can derive the required information from heaps of data. While Structured Query Language (SQL) isn’t a database management tool, it’s a programming tool that helps access the database. It is linked to the Relational Database Management System (RDBMS), wherein specific user queries are processed to retrieve desired data from the system.

Database Management Systems (DBMS) have made data storage and retrieval much more accessible. Any DBMS needs to have an excellent design for the data to be stored systematically. The DBMS must be designed so that users can access and navigate through the system quickly. A good design ensures uniformity in the data structure to create a reliable DBMS. It should strategize data to avoid duplication of results and increased storage usage. Data design focuses on creating a simple design structure to prevent complexity in locating data and reduce DBMS maintenance.

A file system is essentially categorized as a Database Management System (DBMS) owing to its purpose. However, compared to DBMS, a file system stores data comparatively primordially. Files are taken and stored categorically; however, like DBMS, their relevancy or connection is not mapped out. Hence, retrieval of files gives a limited search result without deep profiling of the particular file. The file system doesn’t manage repeated data files and update data files from different users either. This creates redundancy in the data system and increases storage usage. The file system categorizes data but doesn’t store it in desirable categories.

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Research Projects

Getting started in research projects.

Cal provides a variety of research opportunities for undergraduate students:

What is research.

Creative exploration that charts a pathway to discovering new knowledge–a process that is marked by self-generated questions that address gaps or shortcomings in the field

An open-ended search for significance that is given a structure, scope, and sequence by methodical engagement with objects of inquiry and scholarly literature

Why do research?

An opportunity to personalize learning that takes place in the classroom and ground it in your own vision and worldview

A way to connect your academic studies to your extracurricular activities and social commitments–to find a through line that gives purpose and intentionality to your education

To learn who you are as a thinker and test out your aptitudes and discover where your interests truly lie

To hone skills (critical thinking, creative problem solving, risk taking, resilience and persistence) that matter in today’s job market and the pursuit of advanced study

How do undergraduates at UCB get involved in research?

Although research can start in coursework, particularly seminars, being at a research university like Cal, gives undergraduates the opportunity to directly participate in the production of new knowledge–to develop as thought pioneers in various fields.

Become a research assistant with faculty and graduate student led research projects through programs such as URAP , Biology Scholars , and SMART

• Juniors and seniors may propose an independent research project of their own design and apply for funding from programs like SURF , Cal NERDS and Haas Scholars

How do you get started in research?

• Visit the Discovery Opportunities Database

Identify some interests you want to explore and consider how these interests relate to your major or courses of study in various fields or impacts you want to have on the world

Attend a “ Getting Started in Undergraduate Research ” workshop

Meet with an OURS Peer Advisor

For great information on STEM research at UCB check out STAR

Apply for URAP or SPUR

Find inspiration and role models by reading student profiles of other students projects at SURF and Haas Scholars

Identify possible faculty mentors by exploring the faculty expertise database

Student Discovery Stories

View and learn more about student projects

Download the one-pager PDF guide

Undergraduate Research Opportunities Database

Our database is a great resource in helping students find exciting undergraduate research opportunities at Penn State.

To get the best results, we recommend that you select all of the research areas that interest you. We also recommend that you conduct multiple searches.

Campus – Select the campus(es) where you would be interested in participating in research. Depending on the time of year when you are using the database, consider whether your location changes. For example, do you spend your summers closer to a different campus than where you regularly attend school?

Research Area – Select the area(s) of research that interest you most, keeping in mind that research is often interdisciplinary so it might be appropriate to select more than one area. For example, if you are interested in health you might want to search for opportunities in the physical sciences, life sciences, and nursing and health sciences, because these research areas could all be relevant to your interest in health.

Position Type – Select the position type(s) that are most appealing to you. If you prefer whether you earn credit versus being paid, be sure to narrow down the search results using this field.

Note : You may not receive academic credit and be paid for the same research experience in a given semester.

• “Work Study” is only available to students who have received a federal work-study (FWS) award . You can verify if you have an FWS award by visiting LionPATH and reviewing your "Financial Aid Summary.” If you do not have a federal work-study award, your mentor can also inquire with the Office of Student Aid - 814-865-6301 - to determine if you are eligible to be awarded one.

Mentors interested in creating an account or posting an opportunity should visit the Posting Undergraduate Research Opportunities section.  

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Food Safety Research Projects Database

NAL's Food Safety Research Information Office (FSRIO) maintains the Research Projects Database (RPD). The RPD tracks food safety research projects funded by FSRIO partner agencies. The RPD is searchable by Category,  Commodity, and Funding Source.

Browse by Category

• Bacterial Pathogens (7,938)
• Chemical Contaminants (4,397)
• Viruses and Prions (4,086)
• Natural Toxins (3,923)
• Parasites (3,634)
• Education and Training (1,968)
• Escherichia coli (1,595)
• Salmonella (1,500)
• Food Defense and Integrity (1,295)
• Risk Assessment, Management, and Communication (1,109)

Browse by Commodity

• Produce (1,499)
• Meat, Poultry, Game (1,443)
• Nuts, Seeds (392)
• Seafood (334)
• Dairy (207)
• Grains, Beans, Legumes (114)

Browse by Funding Source

• Nat'l. Inst. of Food and Agriculture (6,491)
• Agricultural Research Service (3,012)
• Food and Drug Administration (2,160)
• Nat'l. Inst. of Allergy and Infectious Diseases (1,564)
• Food Standards Agency (1,095)
• United States Nat'l. Science Fndn. (802)
• European Commission (590)
• Biotechnology and Biological Sciences Research Council (375)
• Nat'l. Cattlemen's Beef Assoc. (226)
• Nat'l. Inst. of Environmental Health Sciences (216)
• ARS (NP108) (209)
• Dept. for Environment, Food and Rural Affairs (161)
• Ontario Min. of Agriculture Food and Rural Affairs (134)
• Nat'l. Center For Toxicological Research (126)
• Bill and Melinda Gates Fndn. (125)
• Center for Produce Safety (122)
• Nat'l. Inst. of General Medical Sciences (117)
• European Food Safety Authority (113)
• Nat'l. Inst. of Diabetes and Digestive and Kidney Diseases (96)
• Center For Food Safety and Applied Nutrition (75)
• Fndn. for Meat and Poultry Research and Education (68)
• Nat'l. Center for Environmental Health (58)
• Binational Agricultural Research and Devel. Fund (57)
• Nat'l. Inst. of Child Health and Human Devel. (54)
• Campden BRI (53)
• Dairy Research Inst. (45)
• Pork Checkoff (41)
• Nat'l. Inst. of Neurological Disorders and Stroke (40)
• safefood (30)
• Nat'l. Dairy Council (21)
• Nat'l. Cancer Inst. (19)
• Agriculture & Horticulture Develop. Board (18)
• Economic Research Service (16)
• Fogarty Int'l. Center (16)
• Nat'l. Pork Board (15)
• United States Army (14)
• Nat'l. Center for Research Resources (14)
• Nat'l. Center for Preparedness, Detection, and Control of Infectious Diseases (11)
• Nat'l. Center for Complementary and Integrative Health (10)
• Fresh Express (9)
• Nat'l. Center for Complementary and Alternative Medicine (9)
• Int'l. Life Sciences Inst. (8)
• Nat'l. Inst. of Mental Health (7)
• Centers for Disease Control and Prevention (7)
• Nat'l. Heart, Lung and Blood Inst. (7)
• Nat'l. Inst. for Occupational Safety and Health (7)
• Food Safety Inspection Service (7)
• Nat'l. Inst. of Health (7)
• European Union (6)
• Nat'l. Inst. on Aging (6)
• Innovate UK (4)
• Economic and Social Research Council (4)
• Office of the Director (4)
• Institute for the Advancement of Food and Nutrition Sciences (3)
• Agency for Toxic Substances and Disease Registry (3)
• Animal and Plant Health Inspection Service (3)
• National Center for Environmental Health (3)
• Nat'l. Center on Minority Health and Health Disparities (2)
• Nat'l. Eye Inst. (2)
• Center for Disease Control (1)
• Nat'l. Center for Advancing Translational Sciences (1)
• United States Navy (1)
• Nat'l. Center for Emerging and Zoonotic Infectious Diseases (1)
• Nat'l. Inst. on Alcohol Abuse and Alcoholism (1)
• Medical Research Council (1)
• Beef Checkoff (1)
• Nat'l. Library of Medicine (1)
• Office of Public Health Preparedness and Response (1)
• Nat'l. Inst. of Biomedical Imaging and Bioengineering (1)
• Food Marketing Inst. Fndn. (1)
• United States Dept. of Agriculture (1)

Recent Projects

Redesigning floriculture marketplace & inventory management tools for small produce farms to increase accessibility and reduce cost.

• Investigators Ihlo, A.
• Funding Source Nat'l. Inst. of Food and Agriculture
• Start date 2022
• End date 2022

INVESTIGATION AND DETERMINATION OF SAFE GUIDELINES FOR SOUS VIDE COOKING

• Investigators Cavender, Ge, .
• Start date 2021
• End date 2023

CHARACTERIZING THE SPATIAL EXPRESSION OF THE �CLUSTERED HOMOLOG OF IMMUNOGLOBULIN-LIKE RECEPTORS� (CHIR) IN THE CHICKEN INTESTINE AFTER COCCIDIOSIS VACCINE CHALLENGE

• Investigators Drechsler, Y.
• Start date 2023
• End date 2025

BUILDING RESILIENCE TO SHOCKS AND DISRUPTIONS: CREATING SUSTAINABLE AND EQUITABLE LOCAL AND REGIONAL FOOD SYSTEMS IN THE US MIDWEST REGION AND BEYOND

• Investigators Ross, R.; Whipple, JU, M..; Marshall, MA.; Todey, DE, PA.; Winkler, JU, A..; Knipe, RI.; Wu, FE.; Knipe, DA.; Konar, ME.; Varshney, LA, R.; Liu, JI.; Liang, CH.; Beverly, BR.; Frank, KE.; Nichols, SU.; Vina Vizcaino, AN.; Ellefson, NI.; Gardner, JA.; Naik, SA.; Ripmaster, CO.; Robinson, JE.; Thur, TY.
• End date 2028

DECIPHERING THE CYTOSOLIC CONTRIBUTION TO SHIKIMATE/QUINATE DERIVED METABOLITES

• Investigators Lynch, J. H.
• End date 2026

EXPAND THE CURRENT FOOD SAFETY MODERNIZATION ACT TRAINING PROGRAM FOR WEST VIRGINIA VERY SMALL LOCAL PRODUCE GROWERS WITH THE CONTENT OF TRIPLE-WASH AND RELATED OUTREACH ACTIVITIES

• Investigators Shen, C.

IMPROVING SOYMILK QUALITY BY ULTRA-HIGH PRESSURE HOMOGENIZATION AND USE OF HYDROCOLLOIDS

• Investigators Chang, Sam

DRONES IN AGRICULTURE: FARMING TAKES FLIGHT

• Investigators Burbidge, L. D.; Knudson, KE, .

LESSONS FOR THE RECOVERY: EVALUATING THE IMPACTS OF THE COVID-19 PANDEMIC ON THE FOREST-BASED RURAL ECONOMY IN THE SOUTHERN UNITED STATES

• Investigators Parajuli, R.

IDENTIFYING THE MOLECULAR MECHANISMS CONTROLLING WOUND-HEALING PROCESSES TO IMPROVE POSTHARVEST QUALITY OF POTATO

• Investigators Dogramaci M; Shetty K
• Funding Source Agricultural Research Service

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• Open access
• Published: 19 April 2024

A scoping review of continuous quality improvement in healthcare system: conceptualization, models and tools, barriers and facilitators, and impact

• Aklilu Endalamaw 1 , 2 ,
• Resham B Khatri 1 , 3 ,
• Tesfaye Setegn Mengistu 1 , 2 ,
• Daniel Erku 1 , 4 , 5 ,
• Eskinder Wolka 6 ,
• Anteneh Zewdie 6 &
• Yibeltal Assefa 1  

BMC Health Services Research volume  24 , Article number:  487 ( 2024 ) Cite this article

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Metrics details

The growing adoption of continuous quality improvement (CQI) initiatives in healthcare has generated a surge in research interest to gain a deeper understanding of CQI. However, comprehensive evidence regarding the diverse facets of CQI in healthcare has been limited. Our review sought to comprehensively grasp the conceptualization and principles of CQI, explore existing models and tools, analyze barriers and facilitators, and investigate its overall impacts.

This qualitative scoping review was conducted using Arksey and O’Malley’s methodological framework. We searched articles in PubMed, Web of Science, Scopus, and EMBASE databases. In addition, we accessed articles from Google Scholar. We used mixed-method analysis, including qualitative content analysis and quantitative descriptive for quantitative findings to summarize findings and PRISMA extension for scoping reviews (PRISMA-ScR) framework to report the overall works.

A total of 87 articles, which covered 14 CQI models, were included in the review. While 19 tools were used for CQI models and initiatives, Plan-Do-Study/Check-Act cycle was the commonly employed model to understand the CQI implementation process. The main reported purposes of using CQI, as its positive impact, are to improve the structure of the health system (e.g., leadership, health workforce, health technology use, supplies, and costs), enhance healthcare delivery processes and outputs (e.g., care coordination and linkages, satisfaction, accessibility, continuity of care, safety, and efficiency), and improve treatment outcome (reduce morbidity and mortality). The implementation of CQI is not without challenges. There are cultural (i.e., resistance/reluctance to quality-focused culture and fear of blame or punishment), technical, structural (related to organizational structure, processes, and systems), and strategic (inadequate planning and inappropriate goals) related barriers that were commonly reported during the implementation of CQI.

Conclusions

Implementing CQI initiatives necessitates thoroughly comprehending key principles such as teamwork and timeline. To effectively address challenges, it’s crucial to identify obstacles and implement optimal interventions proactively. Healthcare professionals and leaders need to be mentally equipped and cognizant of the significant role CQI initiatives play in achieving purposes for quality of care.

Peer Review reports

Continuous quality improvement (CQI) initiative is a crucial initiative aimed at enhancing quality in the health system that has gradually been adopted in the healthcare industry. In the early 20th century, Shewhart laid the foundation for quality improvement by describing three essential steps for process improvement: specification, production, and inspection [ 1 , 2 ]. Then, Deming expanded Shewhart’s three-step model into ‘plan, do, study/check, and act’ (PDSA or PDCA) cycle, which was applied to management practices in Japan in the 1950s [ 3 ] and was gradually translated into the health system. In 1991, Kuperman applied a CQI approach to healthcare, comprising selecting a process to be improved, assembling a team of expert clinicians that understands the process and the outcomes, determining key steps in the process and expected outcomes, collecting data that measure the key process steps and outcomes, and providing data feedback to the practitioners [ 4 ]. These philosophies have served as the baseline for the foundation of principles for continuous improvement [ 5 ].

Continuous quality improvement fosters a culture of continuous learning, innovation, and improvement. It encourages proactive identification and resolution of problems, promotes employee engagement and empowerment, encourages trust and respect, and aims for better quality of care [ 6 , 7 ]. These characteristics drive the interaction of CQI with other quality improvement projects, such as quality assurance and total quality management [ 8 ]. Quality assurance primarily focuses on identifying deviations or errors through inspections, audits, and formal reviews, often settling for what is considered ‘good enough’, rather than pursuing the highest possible standards [ 9 , 10 ], while total quality management is implemented as the management philosophy and system to improve all aspects of an organization continuously [ 11 ].

Continuous quality improvement has been implemented to provide quality care. However, providing effective healthcare is a complicated and complex task in achieving the desired health outcomes and the overall well-being of individuals and populations. It necessitates tackling issues, including access, patient safety, medical advances, care coordination, patient-centered care, and quality monitoring [ 12 , 13 ], rooted long ago. It is assumed that the history of quality improvement in healthcare started in 1854 when Florence Nightingale introduced quality improvement documentation [ 14 ]. Over the passing decades, Donabedian introduced structure, processes, and outcomes as quality of care components in 1966 [ 15 ]. More comprehensively, the Institute of Medicine in the United States of America (USA) has identified effectiveness, efficiency, equity, patient-centredness, safety, and timeliness as the components of quality of care [ 16 ]. Moreover, quality of care has recently been considered an integral part of universal health coverage (UHC) [ 17 ], which requires initiatives to mobilise essential inputs [ 18 ].

While the overall objective of CQI in health system is to enhance the quality of care, it is important to note that the purposes and principles of CQI can vary across different contexts [ 19 , 20 ]. This variation has sparked growing research interest. For instance, a review of CQI approaches for capacity building addressed its role in health workforce development [ 21 ]. Another systematic review, based on random-controlled design studies, assessed the effectiveness of CQI using training as an intervention and the PDSA model [ 22 ]. As a research gap, the former review was not directly related to the comprehensive elements of quality of care, while the latter focused solely on the impact of training using the PDSA model, among other potential models. Additionally, a review conducted in 2015 aimed to identify barriers and facilitators of CQI in Canadian contexts [ 23 ]. However, all these reviews presented different perspectives and investigated distinct outcomes. This suggests that there is still much to explore in terms of comprehensively understanding the various aspects of CQI initiatives in healthcare.

As a result, we conducted a scoping review to address several aspects of CQI. Scoping reviews serve as a valuable tool for systematically mapping the existing literature on a specific topic. They are instrumental when dealing with heterogeneous or complex bodies of research. Scoping reviews provide a comprehensive overview by summarizing and disseminating findings across multiple studies, even when evidence varies significantly [ 24 ]. In our specific scoping review, we included various types of literature, including systematic reviews, to enhance our understanding of CQI.

This scoping review examined how CQI is conceptualized and measured and investigated models and tools for its application while identifying implementation challenges and facilitators. It also analyzed the purposes and impact of CQI on the health systems, providing valuable insights for enhancing healthcare quality.

Protocol registration and results reporting

Protocol registration for this scoping review was not conducted. Arksey and O’Malley’s methodological framework was utilized to conduct this scoping review [ 25 ]. The scoping review procedures start by defining the research questions, identifying relevant literature, selecting articles, extracting data, and summarizing the results. The review findings are reported using the PRISMA extension for a scoping review (PRISMA-ScR) [ 26 ]. McGowan and colleagues also advised researchers to report findings from scoping reviews using PRISMA-ScR [ 27 ].

Defining the research problems

This review aims to comprehensively explore the conceptualization, models, tools, barriers, facilitators, and impacts of CQI within the healthcare system worldwide. Specifically, we address the following research questions: (1) How has CQI been defined across various contexts? (2) What are the diverse approaches to implementing CQI in healthcare settings? (3) Which tools are commonly employed for CQI implementation ? (4) What barriers hinder and facilitators support successful CQI initiatives? and (5) What effects CQI initiatives have on the overall care quality?

Information source and search strategy

We conducted the search in PubMed, Web of Science, Scopus, and EMBASE databases, and the Google Scholar search engine. The search terms were selected based on three main distinct concepts. One group was CQI-related terms. The second group included terms related to the purpose for which CQI has been implemented, and the third group included processes and impact. These terms were selected based on the Donabedian framework of structure, process, and outcome [ 28 ]. Additionally, the detailed keywords were recruited from the primary health framework, which has described lists of dimensions under process, output, outcome, and health system goals of any intervention for health [ 29 ]. The detailed search strategy is presented in the Supplementary file 1 (Search strategy). The search for articles was initiated on August 12, 2023, and the last search was conducted on September 01, 2023.

Eligibility criteria and article selection

Based on the scoping review’s population, concept, and context frameworks [ 30 ], the population included any patients or clients. Additionally, the concepts explored in the review encompassed definitions, implementation, models, tools, barriers, facilitators, and impacts of CQI. Furthermore, the review considered contexts at any level of health systems. We included articles if they reported results of qualitative or quantitative empirical study, case studies, analytic or descriptive synthesis, any review, and other written documents, were published in peer-reviewed journals, and were designed to address at least one of the identified research questions or one of the identified implementation outcomes or their synonymous taxonomy as described in the search strategy. Based on additional contexts, we included articles published in English without geographic and time limitations. We excluded articles with abstracts only, conference abstracts, letters to editors, commentators, and corrections.

We exported all citations to EndNote x20 to remove duplicates and screen relevant articles. The article selection process includes automatic duplicate removal by using EndNote x20, unmatched title and abstract removal, citation and abstract-only materials removal, and full-text assessment. The article selection process was mainly conducted by the first author (AE) and reported to the team during the weekly meetings. The first author encountered papers that caused confusion regarding whether to include or exclude them and discussed them with the last author (YA). Then, decisions were ultimately made. Whenever disagreements happened, they were resolved by discussion and reconsideration of the review questions in relation to the written documents of the article. Further statistical analysis, such as calculating Kappa, was not performed to determine article inclusion or exclusion.

Data extraction and data items

We extracted first author, publication year, country, settings, health problem, the purpose of the study, study design, types of intervention if applicable, CQI approaches/steps if applicable, CQI tools and procedures if applicable, and main findings using a customized Microsoft Excel form.

Summarizing and reporting the results

The main findings were summarized and described based on the main themes, including concepts under conceptualizing, principles, teams, timelines, models, tools, barriers, facilitators, and impacts of CQI. Results-based convergent synthesis, achieved through mixed-method analysis, involved content analysis to identify the thematic presentation of findings. Additionally, a narrative description was used for quantitative findings, aligning them with the appropriate theme. The authors meticulously reviewed the primary findings from each included material and contextualized these findings concerning the main themes1. This approach provides a comprehensive understanding of complex interventions and health systems, acknowledging quantitative and qualitative evidence.

Search results

A total of 11,251 documents were identified from various databases: SCOPUS ( n  = 4,339), PubMed ( n  = 2,893), Web of Science ( n  = 225), EMBASE ( n  = 3,651), and Google Scholar ( n  = 143). After removing duplicates ( n  = 5,061), 6,190 articles were evaluated by title and abstract. Subsequently, 208 articles were assessed for full-text eligibility. Following the eligibility criteria, 121 articles were excluded, leaving 87 included in the current review (Fig.  1 ).

Article selection process

Operationalizing continuous quality improvement

Continuous Quality Improvement (CQI) is operationalized as a cyclic process that requires commitment to implementation, teamwork, time allocation, and celebrating successes and failures.

CQI is a cyclic ongoing process that is followed reflexive, analytical and iterative steps, including identifying gaps, generating data, developing and implementing action plans, evaluating performance, providing feedback to implementers and leaders, and proposing necessary adjustments [ 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 ].

CQI requires committing to the philosophy, involving continuous improvement [ 19 , 38 ], establishing a mission statement [ 37 ], and understanding quality definition [ 19 ].

CQI involves a wide range of patient-oriented measures and performance indicators, specifically satisfying internal and external customers, developing quality assurance, adopting common quality measures, and selecting process measures [ 8 , 19 , 35 , 36 , 37 , 39 , 40 ].

CQI requires celebrating success and failure without personalization, leading each team member to develop error-free attitudes [ 19 ]. Success and failure are related to underlying organizational processes and systems as causes of failure rather than blaming individuals [ 8 ] because CQI is process-focused based on collaborative, data-driven, responsive, rigorous and problem-solving statistical analysis [ 8 , 19 , 38 ]. Furthermore, a gap or failure opens another opportunity for establishing a data-driven learning organization [ 41 ].

CQI cannot be implemented without a CQI team [ 8 , 19 , 37 , 39 , 42 , 43 , 44 , 45 , 46 ]. A CQI team comprises individuals from various disciplines, often comprising a team leader, a subject matter expert (physician or other healthcare provider), a data analyst, a facilitator, frontline staff, and stakeholders [ 39 , 43 , 47 , 48 , 49 ]. It is also important to note that inviting stakeholders or partners as part of the CQI support intervention is crucial [ 19 , 38 , 48 ].

The timeline is another distinct feature of CQI because the results of CQI vary based on the implementation duration of each cycle [ 35 ]. There is no specific time limit for CQI implementation, although there is a general consensus that a cycle of CQI should be relatively short [ 35 ]. For instance, a CQI implementation took 2 months [ 42 ], 4 months [ 50 ], 9 months [ 51 , 52 ], 12 months [ 53 , 54 , 55 ], and one year and 5 months [ 49 ] duration to achieve the desired positive outcome, while bi-weekly [ 47 ] and monthly data reviews and analyses [ 44 , 48 , 56 ], and activities over 3 months [ 57 ] have also resulted in a positive outcome.

Continuous quality improvement models and tools

There have been several models are utilized. The Plan-Do-Study/Check-Act cycle is a stepwise process involving project initiation, situation analysis, root cause identification, solution generation and selection, implementation, result evaluation, standardization, and future planning [ 7 , 36 , 37 , 45 , 47 , 48 , 49 , 50 , 51 , 53 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 ]. The FOCUS-PDCA cycle enhances the PDCA process by adding steps to find and improve a process (F), organize a knowledgeable team (O), clarify the process (C), understand variations (U), and select improvements (S) [ 55 , 71 , 72 , 73 ]. The FADE cycle involves identifying a problem (Focus), understanding it through data analysis (Analyze), devising solutions (Develop), and implementing the plan (Execute) [ 74 ]. The Logic Framework involves brainstorming to identify improvement areas, conducting root cause analysis to develop a problem tree, logically reasoning to create an objective tree, formulating the framework, and executing improvement projects [ 75 ]. Breakthrough series approach requires CQI teams to meet in quarterly collaborative learning sessions, share learning experiences, and continue discussion by telephone and cross-site visits to strengthen learning and idea exchange [ 47 ]. Another CQI model is the Lean approach, which has been conducted with Kaizen principles [ 52 ], 5 S principles, and the Six Sigma model. The 5 S (Sort, Set/Straighten, Shine, Standardize, Sustain) systematically organises and improves the workplace, focusing on sorting, setting order, shining, standardizing, and sustaining the improvement [ 54 , 76 ]. Kaizen principles guide CQI by advocating for continuous improvement, valuing all ideas, solving problems, focusing on practical, low-cost improvements, using data to drive change, acknowledging process defects, reducing variability and waste, recognizing every interaction as a customer-supplier relationship, empowering workers, responding to all ideas, and maintaining a disciplined workplace [ 77 ]. Lean Six Sigma, a CQI model, applies the DMAIC methodology, which involves defining (D) and measuring the problem (M), analyzing root causes (A), improving by finding solutions (I), and controlling by assessing process stability (C) [ 78 , 79 ]. The 5 C-cyclic model (consultation, collection, consideration, collaboration, and celebration), the first CQI framework for volunteer dental services in Aboriginal communities, ensures quality care based on community needs [ 80 ]. One study used meetings involving activities such as reviewing objectives, assigning roles, discussing the agenda, completing tasks, retaining key outputs, planning future steps, and evaluating the meeting’s effectiveness [ 81 ].

Various tools are involved in the implementation or evaluation of CQI initiatives: checklists [ 53 , 82 ], flowcharts [ 81 , 82 , 83 ], cause-and-effect diagrams (fishbone or Ishikawa diagrams) [ 60 , 62 , 79 , 81 , 82 ], fuzzy Pareto diagram [ 82 ], process maps [ 60 ], time series charts [ 48 ], why-why analysis [ 79 ], affinity diagrams and multivoting [ 81 ], and run chart [ 47 , 48 , 51 , 60 , 84 ], and others mentioned in the table (Table  1 ).

Barriers and facilitators of continuous quality improvement implementation

Implementing CQI initiatives is determined by various barriers and facilitators, which can be thematized into four dimensions. These dimensions are cultural, technical, structural, and strategic dimensions.

Continuous quality improvement initiatives face various cultural, strategic, technical, and structural barriers. Cultural dimension barriers involve resistance to change (e.g., not accepting online technology), lack of quality-focused culture, staff reporting apprehensiveness, and fear of blame or punishment [ 36 , 41 , 85 , 86 ]. The technical dimension barriers of CQI can include various factors that hinder the effective implementation and execution of CQI processes [ 36 , 86 , 87 , 88 , 89 ]. Structural dimension barriers of CQI arise from the organization structure, process, and systems that can impede the effective implementation and sustainability of CQI [ 36 , 85 , 86 , 87 , 88 ]. Strategic dimension barriers are, for example, the inability to select proper CQI goals and failure to integrate CQI into organizational planning and goals [ 36 , 85 , 86 , 87 , 88 , 90 ].

Facilitators are also grouped to cultural, structural, technical, and strategic dimensions to provide solutions to CQI barriers. Cultural challenges were addressed by developing a group culture to CQI and other rewards [ 39 , 41 , 80 , 85 , 86 , 87 , 90 , 91 , 92 ]. Technical facilitators are pivotal to improving technical barriers [ 39 , 42 , 53 , 69 , 86 , 90 , 91 ]. Structural-related facilitators are related to improving communication, infrastructure, and systems [ 86 , 92 , 93 ]. Strategic dimension facilitators include strengthening leadership and improving decision-making skills [ 43 , 53 , 67 , 86 , 87 , 92 , 94 , 95 ] (Table  2 ).

Impact of continuous quality improvement

Continuous quality improvement initiatives can significantly impact the quality of healthcare in a wide range of health areas, focusing on improving structure, the health service delivery process and improving client wellbeing and reducing mortality.

Structure components

These are health leadership, financing, workforce, technology, and equipment and supplies. CQI has improved planning, monitoring and evaluation [ 48 , 53 ], and leadership and planning [ 48 ], indicating improvement in leadership perspectives. Implementing CQI in primary health care (PHC) settings has shown potential for maintaining or reducing operation costs [ 67 ]. Findings from another study indicate that the costs associated with implementing CQI interventions per facility ranged from approximately $2,000 to $10,500 per year, with an average cost of approximately $10 to $60 per admitted client [ 57 ]. However, based on model predictions, the average cost savings after implementing CQI were estimated to be $5430 [ 31 ]. CQI can also be applied to health workforce development [ 32 ]. CQI in the institutional system improved medical education [ 66 , 96 , 97 ], human resources management [ 53 ], motivated staffs [ 76 ], and increased staff health awareness [ 69 ], while concerns raised about CQI impartiality, independence, and public accountability [ 96 ]. Regarding health technology, CQI also improved registration and documentation [ 48 , 53 , 98 ]. Furthermore, the CQI initiatives increased cleanliness [ 54 ] and improved logistics, supplies, and equipment [ 48 , 53 , 68 ].

Process and output components

The process component focuses on the activities and actions involved in delivering healthcare services.

Service delivery

CQI interventions improved service delivery [ 53 , 56 , 99 ], particularly a significant 18% increase in the overall quality of service performance [ 48 ], improved patient counselling, adherence to appropriate procedures, and infection prevention [ 48 , 68 ], and optimised workflow [ 52 ].

Coordination and collaboration

CQI initiatives improved coordination and collaboration through collecting and analysing data, onsite technical support, training, supportive supervision [ 53 ] and facilitating linkages between work processes and a quality control group [ 65 ].

Patient satisfaction

The CQI initiatives increased patient satisfaction and improved quality of life by optimizing care quality management, improving the quality of clinical nursing, reducing nursing defects and enhancing the wellbeing of clients [ 54 , 76 , 100 ], although CQI was not associated with changes in adolescent and young adults’ satisfaction [ 51 ].

CQI initiatives reduced medication error reports from 16 to 6 [ 101 ], and it significantly reduced the administration of inappropriate prophylactic antibiotics [ 44 ], decreased errors in inpatient care [ 52 ], decreased the overall episiotomy rate from 44.5 to 33.3% [ 83 ], reduced the overall incidence of unplanned endotracheal extubation [ 102 ], improving appropriate use of computed tomography angiography [ 103 ], and appropriate diagnosis and treatment selection [ 47 ].

Continuity of care

CQI initiatives effectively improve continuity of care by improving client and physician interaction. For instance, provider continuity levels showed a 64% increase [ 55 ]. Modifying electronic medical record templates, scheduling, staff and parental education, standardization of work processes, and birth to 1-year age-specific incentives in post-natal follow-up care increased continuity of care to 74% in 2018 compared to baseline 13% in 2012 [ 84 ].

The CQI initiative yielded enhanced efficiency in the cardiac catheterization laboratory, as evidenced by improved punctuality in procedure starts and increased efficiency in manual sheath-pulls inside [ 78 ].

Accessibility

CQI initiatives were effective in improving accessibility in terms of increasing service coverage and utilization rate. For instance, screening for cigarettes, nutrition counselling, folate prescription, maternal care, immunization coverage [ 53 , 81 , 104 , 105 ], reducing the percentage of non-attending patients to surgery to 0.9% from the baseline 3.9% [ 43 ], increasing Chlamydia screening rates from 29 to 60% [ 45 ], increasing HIV care continuum coverage [ 51 , 59 , 60 ], increasing in the uptake of postpartum long-acting reversible contraceptive use from 6.9% at the baseline to 25.4% [ 42 ], increasing post-caesarean section prophylaxis from 36 to 89% [ 62 ], a 31% increase of kangaroo care practice [ 50 ], and increased follow-up [ 65 ]. Similarly, the QI intervention increased the quality of antenatal care by 29.3%, correct partograph use by 51.7%, and correct active third-stage labour management, a 19.6% improvement from the baseline, but not significantly associated with improvement in contraceptive service uptake [ 61 ].

Timely access

CQI interventions improved the time care provision [ 52 ], and reduced waiting time [ 62 , 74 , 76 , 106 ]. For instance, the discharge process waiting time in the emergency department decreased from 76 min to 22 min [ 79 ]. It also reduced mean postprocedural length of stay from 2.8 days to 2.0 days [ 31 ].

Acceptability

Acceptability of CQI by healthcare providers was satisfactory. For instance, 88% of the faculty, 64% of the residents, and 82% of the staff believed CQI to be useful in the healthcare clinic [ 107 ].

Outcome components

Morbidity and mortality.

CQI efforts have demonstrated better management outcomes among diabetic patients [ 40 ], patients with oral mucositis [ 71 ], and anaemic patients [ 72 ]. It has also reduced infection rate in post-caesarean Sect. [ 62 ], reduced post-peritoneal dialysis peritonitis [ 49 , 108 ], and prevented pressure ulcers [ 70 ]. It is explained by peritonitis incidence from once every 40.1 patient months at baseline to once every 70.8 patient months after CQI [ 49 ] and a 63% reduction in pressure ulcer prevalence within 2 years from 2008 to 2010 [ 70 ]. Furthermore, CQI initiatives significantly reduced in-hospital deaths [ 31 ] and increased patient survival rates [ 108 ]. Figure  2 displays the overall process of the CQI implementations.

The overall mechanisms of continuous quality improvement implementation

In this review, we examined the fundamental concepts and principles underlying CQI, the factors that either hinder or assist in its successful application and implementation, and the purpose of CQI in enhancing quality of care across various health issues.

Our findings have brought attention to the application and implementation of CQI, emphasizing its underlying concepts and principles, as evident in the existing literature [ 31 , 32 , 33 , 34 , 35 , 36 , 39 , 40 , 43 , 45 , 46 ]. Continuous quality improvement has shared with the principles of continuous improvement, such as a customer-driven focus, effective leadership, active participation of individuals, a process-oriented approach, systematic implementation, emphasis on design improvement and prevention, evidence-based decision-making, and fostering partnership [ 5 ]. Moreover, Deming’s 14 principles laid the foundation for CQI principles [ 109 ]. These principles have been adapted and put into practice in various ways: ten [ 19 ] and five [ 38 ] principles in hospitals, five principles for capacity building [ 38 ], and two principles for medication error prevention [ 41 ]. As a principle, the application of CQI can be process-focused [ 8 , 19 ] or impact-focused [ 38 ]. Impact-focused CQI focuses on achieving specific outcomes or impacts, whereas process-focused CQI prioritizes and improves the underlying processes and systems. These principles complement each other and can be utilized based on the objectives of quality improvement initiatives in healthcare settings. Overall, CQI is an ongoing educational process that requires top management’s involvement, demands coordination across departments, encourages the incorporation of views beyond clinical area, and provides non-judgemental evidence based on objective data [ 110 ].

The current review recognized that it was not easy to implement CQI. It requires reasonable utilization of various models and tools. The application of each tool can be varied based on the studied health problem and the purpose of CQI initiative [ 111 ], varied in context, content, structure, and usability [ 112 ]. Additionally, overcoming the cultural, technical, structural, and strategic-related barriers. These barriers have emerged from clinical staff, managers, and health systems perspectives. Of the cultural obstacles, staff non-involvement, resistance to change, and reluctance to report error were staff-related. In contrast, others, such as the absence of celebration for success and hierarchical and rational culture, may require staff and manager involvement. Staff members may exhibit reluctance in reporting errors due to various cultural factors, including lack of trust, hierarchical structures, fear of retribution, and a blame-oriented culture. These challenges pose obstacles to implementing standardized CQI practices, as observed, for instance, in community pharmacy settings [ 85 ]. The hierarchical culture, characterized by clearly defined levels of power, authority, and decision-making, posed challenges to implementing CQI initiatives in public health [ 41 , 86 ]. Although rational culture, a type of organizational culture, emphasizes logical thinking and rational decision-making, it can also create challenges for CQI implementation [ 41 , 86 ] because hierarchical and rational cultures, which emphasize bureaucratic norms and narrow definitions of achievement, were found to act as barriers to the implementation of CQI [ 86 ]. These could be solved by developing a shared mindset and collective commitment, establishing a shared purpose, developing group norms, and cultivating psychological preparedness among staff, managers, and clients to implement and sustain CQI initiatives. Furthermore, reversing cultural-related barriers necessitates cultural-related solutions: development of a culture and group culture to CQI [ 41 , 86 ], positive comprehensive perception [ 91 ], commitment [ 85 ], involving patients, families, leaders, and staff [ 39 , 92 ], collaborating for a common goal [ 80 , 86 ], effective teamwork [ 86 , 87 ], and rewarding and celebrating successes [ 80 , 90 ].

The technical dimension barriers of CQI can include inadequate capitalization of a project and insufficient support for CQI facilitators and data entry managers [ 36 ], immature electronic medical records or poor information systems [ 36 , 86 ], and the lack of training and skills [ 86 , 87 , 88 ]. These challenges may cause the CQI team to rely on outdated information and technologies. The presence of barriers on the technical dimension may challenge the solid foundation of CQI expertise among staff, the ability to recognize opportunities for improvement, a comprehensive understanding of how services are produced and delivered, and routine use of expertise in daily work. Addressing these technical barriers requires knowledge creation activities (training, seminar, and education) [ 39 , 42 , 53 , 69 , 86 , 90 , 91 ], availability of quality data [ 86 ], reliable information [ 92 ], and a manual-online hybrid reporting system [ 85 ].

Structural dimension barriers of CQI include inadequate communication channels and lack of standardized process, specifically weak physician-to-physician synergies [ 36 ], lack of mechanisms for disseminating knowledge and limited use of communication mechanisms [ 86 ]. Lack of communication mechanism endangers sharing ideas and feedback among CQI teams, leading to misunderstandings, limited participation and misinterpretations, and a lack of learning [ 113 ]. Knowledge translation facilitates the co-production of research, subsequent diffusion of knowledge, and the developing stakeholder’s capacity and skills [ 114 ]. Thus, the absence of a knowledge translation mechanism may cause missed opportunities for learning, inefficient problem-solving, and limited creativity. To overcome these challenges, organizations should establish effective communication and information systems [ 86 , 93 ] and learning systems [ 92 ]. Though CQI and knowledge translation have interacted with each other, it is essential to recognize that they are distinct. CQI focuses on process improvement within health care systems, aiming to optimize existing processes, reduce errors, and enhance efficiency.

In contrast, knowledge translation bridges the gap between research evidence and clinical practice, translating research findings into actionable knowledge for practitioners. While both CQI and knowledge translation aim to enhance health care quality and patient outcomes, they employ different strategies: CQI utilizes tools like Plan-Do-Study-Act cycles and statistical process control, while knowledge translation involves knowledge synthesis and dissemination. Additionally, knowledge translation can also serve as a strategy to enhance CQI. Both concepts share the same principle: continuous improvement is essential for both. Therefore, effective strategies on the structural dimension may build efficient and effective steering councils, information systems, and structures to diffuse learning throughout the organization.

Strategic factors, such as goals, planning, funds, and resources, determine the overall purpose of CQI initiatives. Specific barriers were improper goals and poor planning [ 36 , 86 , 88 ], fragmentation of quality assurance policies [ 87 ], inadequate reinforcement to staff [ 36 , 90 ], time constraints [ 85 , 86 ], resource inadequacy [ 86 ], and work overload [ 86 ]. These barriers can be addressed through strengthening leadership [ 86 , 87 ], CQI-based mentoring [ 94 ], periodic monitoring, supportive supervision and coaching [ 43 , 53 , 87 , 92 , 95 ], participation, empowerment, and accountability [ 67 ], involving all stakeholders in decision-making [ 86 , 87 ], a provider-payer partnership [ 64 ], and compensating staff for after-hours meetings on CQI [ 85 ]. The strategic dimension, characterized by a strategic plan and integrated CQI efforts, is devoted to processes that are central to achieving strategic priorities. Roles and responsibilities are defined in terms of integrated strategic and quality-related goals [ 115 ].

The utmost goal of CQI has been to improve the quality of care, which is usually revealed by structure, process, and outcome. After resolving challenges and effectively using tools and running models, the goal of CQI reflects the ultimate reason and purpose of its implementation. First, effectively implemented CQI initiatives can improve leadership, health financing, health workforce development, health information technology, and availability of supplies as the building blocks of a health system [ 31 , 48 , 53 , 68 , 98 ]. Second, effectively implemented CQI initiatives improved care delivery process (counselling, adherence with standards, coordination, collaboration, and linkages) [ 48 , 53 , 65 , 68 ]. Third, the CQI can improve outputs of healthcare delivery, such as satisfaction, accessibility (timely access, utilization), continuity of care, safety, efficiency, and acceptability [ 52 , 54 , 55 , 76 , 78 ]. Finally, the effectiveness of the CQI initiatives has been tested in enhancing responses related to key aspects of the HIV response, maternal and child health, non-communicable disease control, and others (e.g., surgery and peritonitis). However, it is worth noting that CQI initiative has not always been effective. For instance, CQI using a two- to nine-times audit cycle model through systems assessment tools did not bring significant change to increase syphilis testing performance [ 116 ]. This study was conducted within the context of Aboriginal and Torres Strait Islander people’s primary health care settings. Notably, ‘the clinics may not have consistently prioritized syphilis testing performance in their improvement strategies, as facilitated by the CQI program’ [ 116 ]. Additionally, by applying CQI-based mentoring, uptake of facility-based interventions was not significantly improved, though it was effective in increasing community health worker visits during pregnancy and the postnatal period, knowledge about maternal and child health and exclusive breastfeeding practice, and HIV disclosure status [ 117 ]. The study conducted in South Africa revealed no significant association between the coverage of facility-based interventions and Continuous Quality Improvement (CQI) implementation. This lack of association was attributed to the already high antenatal and postnatal attendance rates in both control and intervention groups at baseline, leaving little room for improvement. Additionally, the coverage of HIV interventions remained consistently high throughout the study period [ 117 ].

Regarding health care and policy implications, CQI has played a vital role in advancing PHC and fostering the realization of UHC goals worldwide. The indicators found in Donabedian’s framework that are positively influenced by CQI efforts are comparable to those included in the PHC performance initiative’s conceptual framework [ 29 , 118 , 119 ]. It is clearly explained that PHC serves as the roadmap to realizing the vision of UHC [ 120 , 121 ]. Given these circumstances, implementing CQI can contribute to the achievement of PHC principles and the objectives of UHC. For instance, by implementing CQI methods, countries have enhanced the accessibility, affordability, and quality of PHC services, leading to better health outcomes for their populations. CQI has facilitated identifying and resolving healthcare gaps and inefficiencies, enabling countries to optimize resource allocation and deliver more effective and patient-centered care. However, it is crucial to recognize that the successful implementation of Continuous Quality Improvement (CQI) necessitates optimizing the duration of each cycle, understanding challenges and barriers that extend beyond the health system and settings, and acknowledging that its effectiveness may be compromised if these challenges are not adequately addressed.

Despite abundant literature, there are still gaps regarding the relationship between CQI and other dimensions within the healthcare system. No studies have examined the impact of CQI initiatives on catastrophic health expenditure, effective service coverage, patient-centredness, comprehensiveness, equity, health security, and responsiveness.

Limitations

In conducting this review, it has some limitations to consider. Firstly, only articles published in English were included, which may introduce the exclusion of relevant non-English articles. Additionally, as this review follows a scoping methodology, the focus is on synthesising available evidence rather than critically evaluating or scoring the quality of the included articles.

Continuous quality improvement is investigated as a continuous and ongoing intervention, where the implementation time can vary across different cycles. The CQI team and implementation timelines were critical elements of CQI in different models. Among the commonly used approaches, the PDSA or PDCA is frequently employed. In most CQI models, a wide range of tools, nineteen tools, are commonly utilized to support the improvement process. Cultural, technical, structural, and strategic barriers and facilitators are significant in implementing CQI initiatives. Implementing the CQI initiative aims to improve health system blocks, enhance health service delivery process and output, and ultimately prevent morbidity and reduce mortality. For future researchers, considering that CQI is context-dependent approach, conducting scale-up implementation research about catastrophic health expenditure, effective service coverage, patient-centredness, comprehensiveness, equity, health security, and responsiveness across various settings and health issues would be valuable.

Availability of data and materials

The data used and/or analyzed during the current study are available in this manuscript and/or the supplementary file.

Shewhart WA, Deming WE. Memoriam: Walter A. Shewhart, 1891–1967. Am Stat. 1967;21(2):39–40.

Article   Google Scholar  

Shewhart WA. Statistical method from the viewpoint of quality control. New York: Dover; 1986. ISBN 978-0486652320. OCLC 13822053. Reprint. Originally published: Washington, DC: Graduate School of the Department of Agriculture, 1939.

Moen R, editor Foundation and History of the PDSA Cycle. Asian network for quality conference Tokyo. https://www.deming.org/sites/default/files/pdf/2015/PDSA_History_Ron_MoenPdf . 2009.

Kuperman G, James B, Jacobsen J, Gardner RM. Continuous quality improvement applied to medical care: experiences at LDS hospital. Med Decis Making. 1991;11(4suppl):S60–65.

Article   CAS   PubMed   Google Scholar  

Singh J, Singh H. Continuous improvement philosophy–literature review and directions. Benchmarking: An International Journal. 2015;22(1):75–119.

Goldstone J. Presidential address: Sony, Porsche, and vascular surgery in the 21st century. J Vasc Surg. 1997;25(2):201–10.

Radawski D. Continuous quality improvement: origins, concepts, problems, and applications. J Physician Assistant Educ. 1999;10(1):12–6.

Shortell SM, O’Brien JL, Carman JM, Foster RW, Hughes E, Boerstler H, et al. Assessing the impact of continuous quality improvement/total quality management: concept versus implementation. Health Serv Res. 1995;30(2):377.

CAS   PubMed   PubMed Central   Google Scholar  

Lohr K. Quality of health care: an introduction to critical definitions, concepts, principles, and practicalities. Striving for quality in health care. 1991.

Berwick DM. The clinical process and the quality process. Qual Manage Healthc. 1992;1(1):1–8.

Article   CAS   Google Scholar  

Gift B. On the road to TQM. Food Manage. 1992;27(4):88–9.

CAS   PubMed   Google Scholar  

Greiner A, Knebel E. The core competencies needed for health care professionals. health professions education: A bridge to quality. 2003:45–73.

McCalman J, Bailie R, Bainbridge R, McPhail-Bell K, Percival N, Askew D et al. Continuous quality improvement and comprehensive primary health care: a systems framework to improve service quality and health outcomes. Front Public Health. 2018:6 (76):1–6.

Sheingold BH, Hahn JA. The history of healthcare quality: the first 100 years 1860–1960. Int J Afr Nurs Sci. 2014;1:18–22.

Google Scholar  

Donabedian A. Evaluating the quality of medical care. Milbank Q. 1966;44(3):166–206.

Institute of Medicine (US) Committee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington (DC): National Academies Press (US). 2001. 2, Improving the 21st-century Health Care System. Available from: https://www.ncbi.nlm.nih.gov/books/NBK222265/ .

Rubinstein A, Barani M, Lopez AS. Quality first for effective universal health coverage in low-income and middle-income countries. Lancet Global Health. 2018;6(11):e1142–1143.

Article   PubMed   Google Scholar  

Agency for Healthcare Reserach and Quality. Quality Improvement and monitoring at your fingertips USA,: Agency for Healthcare Reserach and Quality. 2022. Available from: https://qualityindicators.ahrq.gov/ .

Anderson CA, Cassidy B, Rivenburgh P. Implementing continuous quality improvement (CQI) in hospitals: lessons learned from the International Quality Study. Qual Assur Health Care. 1991;3(3):141–6.

Gardner K, Mazza D. Quality in general practice - definitions and frameworks. Aust Fam Physician. 2012;41(3):151–4.

PubMed   Google Scholar  

Loper AC, Jensen TM, Farley AB, Morgan JD, Metz AJ. A systematic review of approaches for continuous quality improvement capacity-building. J Public Health Manage Pract. 2022;28(2):E354.

Hill JE, Stephani A-M, Sapple P, Clegg AJ. The effectiveness of continuous quality improvement for developing professional practice and improving health care outcomes: a systematic review. Implement Sci. 2020;15(1):1–14.

Candas B, Jobin G, Dubé C, Tousignant M, Abdeljelil AB, Grenier S, et al. Barriers and facilitators to implementing continuous quality improvement programs in colonoscopy services: a mixed methods systematic review. Endoscopy Int Open. 2016;4(02):E118–133.

Peters MD, Marnie C, Colquhoun H, Garritty CM, Hempel S, Horsley T, et al. Scoping reviews: reinforcing and advancing the methodology and application. Syst Reviews. 2021;10(1):1–6.

Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.

Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73.

McGowan J, Straus S, Moher D, Langlois EV, O’Brien KK, Horsley T, et al. Reporting scoping reviews—PRISMA ScR extension. J Clin Epidemiol. 2020;123:177–9.

Donabedian A. Explorations in quality assessment and monitoring: the definition of quality and approaches to its assessment. Health Administration Press, Ann Arbor. 1980;1.

World Health Organization. Operational framework for primary health care: transforming vision into action. Geneva: World Health Organization and the United Nations Children’s Fund (UNICEF); 2020 [updated 14 December 2020; cited 2023 Nov Oct 17]. Available from: https://www.who.int/publications/i/item/9789240017832 .

The Joanna Briggs Institute. The Joanna Briggs Institute Reviewers’ Manual :2014 edition. Australia: The Joanna Briggs Institute. 2014:88–91.

Rihal CS, Kamath CC, Holmes DR Jr, Reller MK, Anderson SS, McMurtry EK, et al. Economic and clinical outcomes of a physician-led continuous quality improvement intervention in the delivery of percutaneous coronary intervention. Am J Manag Care. 2006;12(8):445–52.

Ade-Oshifogun JB, Dufelmeier T. Prevention and Management of Do not return notices: a quality improvement process for Supplemental staffing nursing agencies. Nurs Forum. 2012;47(2):106–12.

Rubenstein L, Khodyakov D, Hempel S, Danz M, Salem-Schatz S, Foy R, et al. How can we recognize continuous quality improvement? Int J Qual Health Care. 2014;26(1):6–15.

O’Neill SM, Hempel S, Lim YW, Danz MS, Foy R, Suttorp MJ, et al. Identifying continuous quality improvement publications: what makes an improvement intervention ‘CQI’? BMJ Qual Saf. 2011;20(12):1011–9.

Article   PubMed   PubMed Central   Google Scholar  

Sibthorpe B, Gardner K, McAullay D. Furthering the quality agenda in Aboriginal community controlled health services: understanding the relationship between accreditation, continuous quality improvement and national key performance indicator reporting. Aust J Prim Health. 2016;22(4):270–5.

Bennett CL, Crane JM. Quality improvement efforts in oncology: are we ready to begin? Cancer Invest. 2001;19(1):86–95.

VanValkenburgh DA. Implementing continuous quality improvement at the facility level. Adv Ren Replace Ther. 2001;8(2):104–13.

Loper AC, Jensen TM, Farley AB, Morgan JD, Metz AJ. A systematic review of approaches for continuous quality improvement capacity-building. J Public Health Manage Practice. 2022;28(2):E354–361.

Ryan M. Achieving and sustaining quality in healthcare. Front Health Serv Manag. 2004;20(3):3–11.

Nicolucci A, Allotta G, Allegra G, Cordaro G, D’Agati F, Di Benedetto A, et al. Five-year impact of a continuous quality improvement effort implemented by a network of diabetes outpatient clinics. Diabetes Care. 2008;31(1):57–62.

Wakefield BJ, Blegen MA, Uden-Holman T, Vaughn T, Chrischilles E, Wakefield DS. Organizational culture, continuous quality improvement, and medication administration error reporting. Am J Med Qual. 2001;16(4):128–34.

Sori DA, Debelew GT, Degefa LS, Asefa Z. Continuous quality improvement strategy for increasing immediate postpartum long-acting reversible contraceptive use at Jimma University Medical Center, Jimma, Ethiopia. BMJ Open Qual. 2023;12(1):e002051.

Roche B, Robin C, Deleaval PJ, Marti MC. Continuous quality improvement in ambulatory surgery: the non-attending patient. Ambul Surg. 1998;6(2):97–100.

O’Connor JB, Sondhi SS, Mullen KD, McCullough AJ. A continuous quality improvement initiative reduces inappropriate prescribing of prophylactic antibiotics for endoscopic procedures. Am J Gastroenterol. 1999;94(8):2115–21.

Ursu A, Greenberg G, McKee M. Continuous quality improvement methodology: a case study on multidisciplinary collaboration to improve chlamydia screening. Fam Med Community Health. 2019;7(2):e000085.

Quick B, Nordstrom S, Johnson K. Using continuous quality improvement to implement evidence-based medicine. Lippincotts Case Manag. 2006;11(6):305–15 ( quiz 16 – 7 ).

Oyeledun B, Phillips A, Oronsaye F, Alo OD, Shaffer N, Osibo B, et al. The effect of a continuous quality improvement intervention on retention-in-care at 6 months postpartum in a PMTCT Program in Northern Nigeria: results of a cluster randomized controlled study. J Acquir Immune Defic Syndr. 2017;75(Suppl 2):S156–164.

Nyengerai T, Phohole M, Iqaba N, Kinge CW, Gori E, Moyo K, et al. Quality of service and continuous quality improvement in voluntary medical male circumcision programme across four provinces in South Africa: longitudinal and cross-sectional programme data. PLoS ONE. 2021;16(8):e0254850.

Article   CAS   PubMed   PubMed Central   Google Scholar  

Wang J, Zhang H, Liu J, Zhang K, Yi B, Liu Y, et al. Implementation of a continuous quality improvement program reduces the occurrence of peritonitis in PD. Ren Fail. 2014;36(7):1029–32.

Stikes R, Barbier D. Applying the plan-do-study-act model to increase the use of kangaroo care. J Nurs Manag. 2013;21(1):70–8.

Wagner AD, Mugo C, Bluemer-Miroite S, Mutiti PM, Wamalwa DC, Bukusi D, et al. Continuous quality improvement intervention for adolescent and young adult HIV testing services in Kenya improves HIV knowledge. AIDS. 2017;31(Suppl 3):S243–252.

Le RD, Melanson SE, Santos KS, Paredes JD, Baum JM, Goonan EM, et al. Using lean principles to optimise inpatient phlebotomy services. J Clin Pathol. 2014;67(8):724–30.

Manyazewal T, Mekonnen A, Demelew T, Mengestu S, Abdu Y, Mammo D, et al. Improving immunization capacity in Ethiopia through continuous quality improvement interventions: a prospective quasi-experimental study. Infect Dis Poverty. 2018;7:7.

Kamiya Y, Ishijma H, Hagiwara A, Takahashi S, Ngonyani HAM, Samky E. Evaluating the impact of continuous quality improvement methods at hospitals in Tanzania: a cluster-randomized trial. Int J Qual Health Care. 2017;29(1):32–9.

Kibbe DC, Bentz E, McLaughlin CP. Continuous quality improvement for continuity of care. J Fam Pract. 1993;36(3):304–8.

Adrawa N, Ongiro S, Lotee K, Seret J, Adeke M, Izudi J. Use of a context-specific package to increase sputum smear monitoring among people with pulmonary tuberculosis in Uganda: a quality improvement study. BMJ Open Qual. 2023;12(3):1–6.

Hunt P, Hunter SB, Levan D. Continuous quality improvement in substance abuse treatment facilities: how much does it cost? J Subst Abuse Treat. 2017;77:133–40.

Azadeh A, Ameli M, Alisoltani N, Motevali Haghighi S. A unique fuzzy multi-control approach for continuous quality improvement in a radio therapy department. Qual Quantity. 2016;50(6):2469–93.

Memiah P, Tlale J, Shimabale M, Nzyoka S, Komba P, Sebeza J, et al. Continuous quality improvement (CQI) institutionalization to reach 95:95:95 HIV targets: a multicountry experience from the Global South. BMC Health Serv Res. 2021;21(1):711.

Yapa HM, De Neve JW, Chetty T, Herbst C, Post FA, Jiamsakul A, et al. The impact of continuous quality improvement on coverage of antenatal HIV care tests in rural South Africa: results of a stepped-wedge cluster-randomised controlled implementation trial. PLoS Med. 2020;17(10):e1003150.

Dadi TL, Abebo TA, Yeshitla A, Abera Y, Tadesse D, Tsegaye S, et al. Impact of quality improvement interventions on facility readiness, quality and uptake of maternal and child health services in developing regions of Ethiopia: a secondary analysis of programme data. BMJ Open Qual. 2023;12(4):e002140.

Weinberg M, Fuentes JM, Ruiz AI, Lozano FW, Angel E, Gaitan H, et al. Reducing infections among women undergoing cesarean section in Colombia by means of continuous quality improvement methods. Arch Intern Med. 2001;161(19):2357–65.

Andreoni V, Bilak Y, Bukumira M, Halfer D, Lynch-Stapleton P, Perez C. Project management: putting continuous quality improvement theory into practice. J Nurs Care Qual. 1995;9(3):29–37.

Balfour ME, Zinn TE, Cason K, Fox J, Morales M, Berdeja C, et al. Provider-payer partnerships as an engine for continuous quality improvement. Psychiatric Serv. 2018;69(6):623–5.

Agurto I, Sandoval J, De La Rosa M, Guardado ME. Improving cervical cancer prevention in a developing country. Int J Qual Health Care. 2006;18(2):81–6.

Anderson CI, Basson MD, Ali M, Davis AT, Osmer RL, McLeod MK, et al. Comprehensive multicenter graduate surgical education initiative incorporating entrustable professional activities, continuous quality improvement cycles, and a web-based platform to enhance teaching and learning. J Am Coll Surg. 2018;227(1):64–76.

Benjamin S, Seaman M. Applying continuous quality improvement and human performance technology to primary health care in Bahrain. Health Care Superv. 1998;17(1):62–71.

Byabagambi J, Marks P, Megere H, Karamagi E, Byakika S, Opio A, et al. Improving the quality of voluntary medical male circumcision through use of the continuous quality improvement approach: a pilot in 30 PEPFAR-Supported sites in Uganda. PLoS ONE. 2015;10(7):e0133369.

Hogg S, Roe Y, Mills R. Implementing evidence-based continuous quality improvement strategies in an urban Aboriginal Community Controlled Health Service in South East Queensland: a best practice implementation pilot. JBI Database Syst Rev Implement Rep. 2017;15(1):178–87.

Hopper MB, Morgan S. Continuous quality improvement initiative for pressure ulcer prevention. J Wound Ostomy Cont Nurs. 2014;41(2):178–80.

Ji J, Jiang DD, Xu Z, Yang YQ, Qian KY, Zhang MX. Continuous quality improvement of nutrition management during radiotherapy in patients with nasopharyngeal carcinoma. Nurs Open. 2021;8(6):3261–70.

Chen M, Deng JH, Zhou FD, Wang M, Wang HY. Improving the management of anemia in hemodialysis patients by implementing the continuous quality improvement program. Blood Purif. 2006;24(3):282–6.

Reeves S, Matney K, Crane V. Continuous quality improvement as an ideal in hospital practice. Health Care Superv. 1995;13(4):1–12.

Barton AJ, Danek G, Johns P, Coons M. Improving patient outcomes through CQI: vascular access planning. J Nurs Care Qual. 1998;13(2):77–85.

Buttigieg SC, Gauci D, Dey P. Continuous quality improvement in a Maltese hospital using logical framework analysis. J Health Organ Manag. 2016;30(7):1026–46.

Take N, Byakika S, Tasei H, Yoshikawa T. The effect of 5S-continuous quality improvement-total quality management approach on staff motivation, patients’ waiting time and patient satisfaction with services at hospitals in Uganda. J Public Health Afr. 2015;6(1):486.

PubMed   PubMed Central   Google Scholar  

Jacobson GH, McCoin NS, Lescallette R, Russ S, Slovis CM. Kaizen: a method of process improvement in the emergency department. Acad Emerg Med. 2009;16(12):1341–9.

Agarwal S, Gallo J, Parashar A, Agarwal K, Ellis S, Khot U, et al. Impact of lean six sigma process improvement methodology on cardiac catheterization laboratory efficiency. Catheter Cardiovasc Interv. 2015;85:S119.

Rahul G, Samanta AK, Varaprasad G A Lean Six Sigma approach to reduce overcrowding of patients and improving the discharge process in a super-specialty hospital. In 2020 International Conference on System, Computation, Automation and Networking (ICSCAN) 2020 July 3 (pp. 1-6). IEEE

Patel J, Nattabi B, Long R, Durey A, Naoum S, Kruger E, et al. The 5 C model: A proposed continuous quality improvement framework for volunteer dental services in remote Australian Aboriginal communities. Community Dent Oral Epidemiol. 2023;51(6):1150–8.

Van Acker B, McIntosh G, Gudes M. Continuous quality improvement techniques enhance HMO members’ immunization rates. J Healthc Qual. 1998;20(2):36–41.

Horine PD, Pohjala ED, Luecke RW. Healthcare financial managers and CQI. Healthc Financ Manage. 1993;47(9):34.

Reynolds JL. Reducing the frequency of episiotomies through a continuous quality improvement program. CMAJ. 1995;153(3):275–82.

Bunik M, Galloway K, Maughlin M, Hyman D. First five quality improvement program increases adherence and continuity with well-child care. Pediatr Qual Saf. 2021;6(6):e484.

Boyle TA, MacKinnon NJ, Mahaffey T, Duggan K, Dow N. Challenges of standardized continuous quality improvement programs in community pharmacies: the case of SafetyNET-Rx. Res Social Adm Pharm. 2012;8(6):499–508.

Price A, Schwartz R, Cohen J, Manson H, Scott F. Assessing continuous quality improvement in public health: adapting lessons from healthcare. Healthc Policy. 2017;12(3):34–49.

Gage AD, Gotsadze T, Seid E, Mutasa R, Friedman J. The influence of continuous quality improvement on healthcare quality: a mixed-methods study from Zimbabwe. Soc Sci Med. 2022;298:114831.

Chan YC, Ho SJ. Continuous quality improvement: a survey of American and Canadian healthcare executives. Hosp Health Serv Adm. 1997;42(4):525–44.

Balas EA, Puryear J, Mitchell JA, Barter B. How to structure clinical practice guidelines for continuous quality improvement? J Med Syst. 1994;18(5):289–97.

ElChamaa R, Seely AJE, Jeong D, Kitto S. Barriers and facilitators to the implementation and adoption of a continuous quality improvement program in surgery: a case study. J Contin Educ Health Prof. 2022;42(4):227–35.

Candas B, Jobin G, Dubé C, Tousignant M, Abdeljelil A, Grenier S, et al. Barriers and facilitators to implementing continuous quality improvement programs in colonoscopy services: a mixed methods systematic review. Endoscopy Int Open. 2016;4(2):E118–133.

Brandrud AS, Schreiner A, Hjortdahl P, Helljesen GS, Nyen B, Nelson EC. Three success factors for continual improvement in healthcare: an analysis of the reports of improvement team members. BMJ Qual Saf. 2011;20(3):251–9.

Lee S, Choi KS, Kang HY, Cho W, Chae YM. Assessing the factors influencing continuous quality improvement implementation: experience in Korean hospitals. Int J Qual Health Care. 2002;14(5):383–91.

Horwood C, Butler L, Barker P, Phakathi S, Haskins L, Grant M, et al. A continuous quality improvement intervention to improve the effectiveness of community health workers providing care to mothers and children: a cluster randomised controlled trial in South Africa. Hum Resour Health. 2017;15(1):39.

Hyrkäs K, Lehti K. Continuous quality improvement through team supervision supported by continuous self-monitoring of work and systematic patient feedback. J Nurs Manag. 2003;11(3):177–88.

Akdemir N, Peterson LN, Campbell CM, Scheele F. Evaluation of continuous quality improvement in accreditation for medical education. BMC Med Educ. 2020;20(Suppl 1):308.

Barzansky B, Hunt D, Moineau G, Ahn D, Lai CW, Humphrey H, et al. Continuous quality improvement in an accreditation system for undergraduate medical education: benefits and challenges. Med Teach. 2015;37(11):1032–8.

Gaylis F, Nasseri R, Salmasi A, Anderson C, Mohedin S, Prime R, et al. Implementing continuous quality improvement in an integrated community urology practice: lessons learned. Urology. 2021;153:139–46.

Gaga S, Mqoqi N, Chimatira R, Moko S, Igumbor JO. Continuous quality improvement in HIV and TB services at selected healthcare facilities in South Africa. South Afr J HIV Med. 2021;22(1):1202.

Wang F, Yao D. Application effect of continuous quality improvement measures on patient satisfaction and quality of life in gynecological nursing. Am J Transl Res. 2021;13(6):6391–8.

Lee SB, Lee LL, Yeung RS, Chan J. A continuous quality improvement project to reduce medication error in the emergency department. World J Emerg Med. 2013;4(3):179–82.

Chiang AA, Lee KC, Lee JC, Wei CH. Effectiveness of a continuous quality improvement program aiming to reduce unplanned extubation: a prospective study. Intensive Care Med. 1996;22(11):1269–71.

Chinnaiyan K, Al-Mallah M, Goraya T, Patel S, Kazerooni E, Poopat C, et al. Impact of a continuous quality improvement initiative on appropriate use of coronary CT angiography: results from a multicenter, statewide registry, the advanced cardiovascular imaging consortium (ACIC). J Cardiovasc Comput Tomogr. 2011;5(4):S29–30.

Gibson-Helm M, Rumbold A, Teede H, Ranasinha S, Bailie R, Boyle J. A continuous quality improvement initiative: improving the provision of pregnancy care for Aboriginal and Torres Strait Islander women. BJOG: Int J Obstet Gynecol. 2015;122:400–1.

Bennett IM, Coco A, Anderson J, Horst M, Gambler AS, Barr WB, et al. Improving maternal care with a continuous quality improvement strategy: a report from the interventions to minimize preterm and low birth weight infants through continuous improvement techniques (IMPLICIT) network. J Am Board Fam Med. 2009;22(4):380–6.

Krall SP, Iv CLR, Donahue L. Effect of continuous quality improvement methods on reducing triage to thrombolytic interval for Acute myocardial infarction. Acad Emerg Med. 1995;2(7):603–9.

Swanson TK, Eilers GM. Physician and staff acceptance of continuous quality improvement. Fam Med. 1994;26(9):583–6.

Yu Y, Zhou Y, Wang H, Zhou T, Li Q, Li T, et al. Impact of continuous quality improvement initiatives on clinical outcomes in peritoneal dialysis. Perit Dial Int. 2014;34(Suppl 2):S43–48.

Schiff GD, Goldfield NI. Deming meets Braverman: toward a progressive analysis of the continuous quality improvement paradigm. Int J Health Serv. 1994;24(4):655–73.

American Hospital Association Division of Quality Resources Chicago, IL: The role of hospital leadership in the continuous improvement of patient care quality. American Hospital Association. J Healthc Qual. 1992;14(5):8–14,22.

Scriven M. The Logic and Methodology of checklists [dissertation]. Western Michigan University; 2000.

Hales B, Terblanche M, Fowler R, Sibbald W. Development of medical checklists for improved quality of patient care. Int J Qual Health Care. 2008;20(1):22–30.

Vermeir P, Vandijck D, Degroote S, Peleman R, Verhaeghe R, Mortier E, et al. Communication in healthcare: a narrative review of the literature and practical recommendations. Int J Clin Pract. 2015;69(11):1257–67.

Eljiz K, Greenfield D, Hogden A, Taylor R, Siddiqui N, Agaliotis M, et al. Improving knowledge translation for increased engagement and impact in healthcare. BMJ open Qual. 2020;9(3):e000983.

O’Brien JL, Shortell SM, Hughes EF, Foster RW, Carman JM, Boerstler H, et al. An integrative model for organization-wide quality improvement: lessons from the field. Qual Manage Healthc. 1995;3(4):19–30.

Adily A, Girgis S, D’Este C, Matthews V, Ward JE. Syphilis testing performance in Aboriginal primary health care: exploring impact of continuous quality improvement over time. Aust J Prim Health. 2020;26(2):178–83.

Horwood C, Butler L, Barker P, Phakathi S, Haskins L, Grant M, et al. A continuous quality improvement intervention to improve the effectiveness of community health workers providing care to mothers and children: a cluster randomised controlled trial in South Africa. Hum Resour Health. 2017;15:1–11.

Veillard J, Cowling K, Bitton A, Ratcliffe H, Kimball M, Barkley S, et al. Better measurement for performance improvement in low- and middle-income countries: the primary Health Care Performance Initiative (PHCPI) experience of conceptual framework development and indicator selection. Milbank Q. 2017;95(4):836–83.

Barbazza E, Kringos D, Kruse I, Klazinga NS, Tello JE. Creating performance intelligence for primary health care strengthening in Europe. BMC Health Serv Res. 2019;19(1):1006.

Assefa Y, Hill PS, Gilks CF, Admassu M, Tesfaye D, Van Damme W. Primary health care contributions to universal health coverage. Ethiopia Bull World Health Organ. 2020;98(12):894.

Van Weel C, Kidd MR. Why strengthening primary health care is essential to achieving universal health coverage. CMAJ. 2018;190(15):E463–466.

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Aklilu Endalamaw, Resham B Khatri, Tesfaye Setegn Mengistu, Daniel Erku & Yibeltal Assefa

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Aklilu Endalamaw & Tesfaye Setegn Mengistu

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AE conceptualized the study, developed the first draft of the manuscript, and managing feedbacks from co-authors. YA conceptualized the study, provided feedback, and supervised the whole processes. RBK provided feedback throughout. TSM provided feedback throughout. DE provided feedback throughout. EW provided feedback throughout. AZ provided feedback throughout. All authors read and approved the final manuscript.

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Endalamaw, A., Khatri, R.B., Mengistu, T.S. et al. A scoping review of continuous quality improvement in healthcare system: conceptualization, models and tools, barriers and facilitators, and impact. BMC Health Serv Res 24 , 487 (2024). https://doi.org/10.1186/s12913-024-10828-0

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The Coolest Database System Companies Of The 2024 Big Data 100

Part 2 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the database systems space.

Running The Bases

By 2025 the total amount of digital data generated, gathered, copied and consumed is expected to be in the range of 175 to 180 zettabytes. And more of that data is spread across distributed, hybrid-cloud and multi-cloud networks.

To make productive use of the ever-growing volumes of data, businesses and organizations need the right database systems to manage all that data and make it available for transactional and analytical applications.

Not surprisingly, the global market for database management systems, which reached $63.50 billion in 2022, is forecast to grow at a CAGR of 11.56 percent to $152.36 billion by 2030, according to Zion Market Research .

As part of the CRN 2024 Big Data 100 , we’ve put together the following list of database system companies—from well-established vendors to those in startup mode—that solution providers should be familiar with.

These vendors offer next-generation relational database systems that can handle growing volumes of data and transactions, analytical databases designed to process complex queries against huge data sets – and some databases that can do both – along with more specialized systems such as graph databases and time series databases.

This week CRN is running the Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data warehouse and data lake systems, data management and integration software, data observability tools, and big data systems and cloud platforms.

Some vendors have big data product portfolios that span multiple technology categories. They appear in the slideshow for the technology segment in which they are most prominent.

Top Executive: CEO Subbu Iyer

Aerospike markets its next-generation NoSQL database for high performance transactional, analytical and AI/machine learning tasks. It describes its database product as a “massively scalable, millisecond latency, real-time database” that provides fast reads/writes and “unmatched uptime.”

Aerospike’s offerings include the Aerospike Database 7 server (introduced in November 2023), a cloud database-as-a-service, and a cloud managed service on AWS, Azure or Google Cloud. Also available is a graph database for managing real-time data relationships and vector search capabilities – the latter for powering AI applications.

Earlier this month Aerospike, headquartered in Mountain View, Calif., raised an impressive $109 million in a growth capital funding round.

Cockroach Labs

Top Executive: CEO Spencer Kimball

Cockroach Labs develops CockroachDB, a high-availability, distributed SQL database for developing and running mission-critical, transaction-heavy applications.

The New York-based company says its database is built on top of a transactional and consistent key-value store that is highly scalable and can withstand datacenter failures. (The company’s name is inspired by the insect, as is the CockroachDB motto: “Scale fast. Survive disaster. Thrive everywhere.”)

Earlier this month Cockroach was selected to join the Google Distributed Cloud, which does not require Google Cloud connectivity of the public internet to manage infrastructure, services, APIs or tooling. Google Distributed Cloud is targeted toward the public sector and highly regulated industries that require flexibility to support regional data residency, security or isolation regulations.

Top Executive: President and CEO Matt Cain

Couchbase develops a NoSQL cloud database for business-critical and AI-powered applications. The core technology is a distributed, JSON document database “with all the desired capabilities of a relational DBMS,” according to the company.

In addition to the NoSQL database server, the company offers its Couchbase Capella database-as-a-service for GenAI, vector search and mobile application services.

For its fiscal 2024 (ended Jan. 31) Santa Clara, Calif.-based Couchbase reported revenue of $180.0 million, up 16 percent from fiscal 2023.

Top Executive: CEO Chet Kapoor

DataStax develops its DataStax Enterprise NoSQL and vector database on the open-source Apache Cassandra database with a focus on providing real-time data for applications. The flagship database, in turn, is the foundation for Astra DB, the company’s cloud-native database-as-a-service offering.

The Santa Clara, Calif.-based company also markets its Astra Streaming data streaming software for real-time data and generative AI applications.

In a move to strengthen its hand in the AI data and application development arena, DataStax earlier this month acquired Langflow , provider of a popular framework for building generative AI applications that use retrieval augmented generation (RAG) technology.

Top Executive: CEO Mike Waas

Datometry calls itself “a pioneer” in developing database system virtualization technology.

Database virtualization decouples the database layer, usually residing between data storage and applications within an application stack, making it possible to pool compute and storage resources and allocate them as needed, according to the company. The technology prevents vendor lock-in, according to the company, and makes it easier to move to migrate from one database to another.

Datometry, headquartered in San Francisco, provides editions of its Hyper-Q platform for Microsoft Azure Databricks, Microsoft Azure Synapse, Google BigQuery and Amazon Red shift.

In November the company debuted OpenDB, a fully compatible drop-in replacement for Oracle databases. (OpenDB v2 shipped in February.) In March it announced support for Microsoft Fabric and earlier this month announced support for Oracle workloads on native Google databases.

Top Executive: CEO Kevin Dallas

EDB (previously EnterpriseDB) offers secure, scalable database software based on the open-source Postgres SQL database. The company’s popular database is compatible with the Oracle relational database.

In addition to the EDB Enterprise Advanced database server and EDB Postgres Distributed database, the company provides the EDB BigAnimal Postgres-as-a-service managed database.

Dallas took over as CEO of Bedford, Mass.-based EDB in August 2023 and in a recent interview with CRN outlined his plans to expand the use cases for the EDB database portfolio beyond transaction processing into data analytics and AI applications.

In October 2023 EDB acquired Splitgraph, which develops a Postgres-compatible serverless SQL API for building data-driven applications that support hundreds of data sources.

Top Executive: CEO Yury Selivanov

EdgeDB describes its offering as “an open-source database designed as a spiritual successor to SQL and the relational paradigm.”

The database is powered by the Postgres query engine with a data schema model that the company calls “graph-relational” and a query language, EdgeQL, that “blends the best” of GraphQL and SQL.

EdgeDB 1.0 launched in February 2022. The company raised $15 million in a Series A funding round in November 2022.

In November 2023 the San Francisco-based company debuted EdgeDB 4.0 and a cloud edition of the database.

Top Executive: CEO Joerg Tewes

Exasol develops a column-oriented, in-memory database for high-performance data analytics and business intelligence tasks. The database works with a long list of the most popular analytics tools including Tableau, Qlik Sense, MicroStrategy, Looker, PowerBI, Yellowfin and more.

In February of this year Exasol launched Espresso AI – built on the company’s Exasol Espresso query engine – which combines business intelligence and AI capabilities to improve BI reports with predictive machine learning models for such tasks as demand forecasting, fraud detection and churn prediction.

Tewes was named Exasol’s CEO effective Jan. 1, 2023, taking over from the previous CEO, Aaron Auld, who stepped down from the post in September 2022. Exasol is headquartered in Nuremberg, Germany.

Top Executive: CEO Fangjin Yang

Imply provides a real-time analytics platform based on Apache Druid, an open-source analytics database that was originally developed by Imply’s founders.

Imply, based in Burlingame, Calif., says analytics applications built on Imply Polaris, the company’s fully managed cloud database-as-a-service, can scale up to any number of users, work with streaming or batch data, and deliver sub-second queries on millions – even trillions – of rows of data.

Top Executive: CEO Evan Kaplan

InfluxData develops the InfluxDB time series database for ingesting, analyzing and storing time-based columnar data. InfluxDB is the foundation for a number of InfluxData products including InfluxDB Cloud Serverless, InfluxDB Cloud Dedicated and InfluxDB Clustered.

In April 2023 the San Francisco-based company released InfluxDB 3.0 with a rebuilt database and storage engine that provides expanded time series capabilities across the company’s product portfolio.

Top Executive: CEO Nima Negahban

Kinetica develops a distributed, memory-first OLAP database that is designed to leverage GPUs and modern vector processors to boost the performance of complex queries across large volumes of real-time data, including temporal and geospatial data.

Over the last year Kinetica, based in Arlington, Va., has been incorporating AI and generative AI technology in its database to expand its natural language ad hoc querying capabilities, including adding ChatGPT in May for “conversational querying” analysis and then in September embedding a native large language model for running language-to-SQL analytics with enhanced privacy and security and greater fine-tuning capabilities.

Top Executive: CEO Paul O’Brien

MariaDB plc markets its namesake Enterprise Server relational database and the cloud-based MariaDB Managed Database, both based on the open-source MariaDB database.

While MariaDB plc’s database products are popular, the company (as distinguished from the MariaDB Foundation that manages the open-source MariaDB database itself) has struggled financially over the last year after going public in 2022. The company, with dual headquarters in Redwood City, Calif., and Dublin, Ireland, worked through two rounds of employee layoffs in 2023, issued a “going concern” warning in April, instituted a restructuring plan in October, and stopped selling products it considered non-core including SkySQL (spun off as a separate business) and Xpand.

In recent months MariaDB plc disclosed that it has received informal acquisition offers from K1 Investment Management and Progress Software Corp.

Top Executive: President and CEO Dev Ittycheria

MongoDB is one of the most successful of the new generation of database companies with its namesake document-oriented database and MongoDB Atlas, the company’s integrated suite of data services centered around a cloud database.

MongoDB’s focus is on providing developers with a platform for building data-centric and AI applications. The company’s database supports a broad range of tasks and data types including transactions, AI, edge computing, vector search, full-text search, operational data, streaming data, time-series data, geospatial data and graph data.

A major factor in MongoDB’s growth is the extensive strategic alliances the company has established with Amazon Web Services , Microsoft Azure , Google Cloud and Alibaba .

Revenue in New York-based MongoDB’s fiscal 2024 (ended Jan. 31) grew 31 percent year over year to $1.68 billion.

Top Executive: CEO Emil Eifrem

Neo4j offers a graph database that stores data using nodes, edges and properties – rather than traditional tables or documents – and emphasizes the relationships between different data entities.

Neo4j AuraDB is the company’s fully managed graph database-as-a-service and Neo4j Graph Data Science is the company’s analytics and machine learning system.

In March Neo4j announce a collaboration with Microsoft to develop a unified data system, combining Neo4j’s graph capabilities natively integrated with Microsoft Fabric and Microsoft Azure OpenAI service, that combines structured and unstructured data to meet the growing data needs of generative AI applications.

Top Executive: Rowan Trollope

Redis (previously Redis Labs) develops the Redis in-memory NoSQL database and markets commercial versions of the database and related software and a fully managed cloud database service. The high-performance Redis database is most popular for developing real-time data applications.

Redis, headquartered in Mountain View, Calif., also sponsors the source-available Redis database under the Redis Source Available License and Server Side Public License, a change from its previous availability under the open-source BSD license.

On March 21 Redis said it had acquired Speedb, which develops a data storage engine used to accelerate application performance across data caching and real-time use cases.

Top Executive: CEO Dor Laor

ScyllaDB develops the distributed, NoSQL database of the same name that’s designed for high-performance, data -intensive applications. The database is available in enterprise, cloud and open-source editions.

ScyllaDB is compatible with the open-source Apache Cassandra database and positions itself as a competitor to other NoSQL databases including MongoDB and Amazon DynamoDB. The ScyllaDB Enterprise 2024 1.0 release (unveiled Feb. 20) provided up to 50 percent higher throughput, 35 percent greater efficiency and 33 percent lower latency than the previous enterprise release, according to the company.

In October 2023 ScyllaDB, with headquarters in Sunnyvale, Calif., and Herzliya, Israel, raised $43 million in a new funding round led by Eight Roads Ventures.

SingleStore

Top Executive: CEO Raj Verma

SingleStore develops SingleStoreDB, a distributed, relational SQL database that supports both high-speed transactional and analytical workloads. SingleStore Helios is the company’s fully managed cloud database service.

SingleStore Pro Max, launched in January, is the company’s data platform for developing and running real-time AI applications. It offers such features as indexed vector search, an on-demand compute service for GPUs and CPUs, new change data capture capabilities for data ingest and egress, and a new free shared tier.

Top Executive: CEO Bala Kuchibhotla

Tessell’s database-as-a-service platform is used to set up, manage, secure and scale relational databases in the cloud including Oracle Database, Microsoft SQL Server, MySQL, PostgreSQL, Milvus and MongoDB.

Tessell says its platform, running on AWS and Microsoft Azure, can accelerate the migration of database workloads to cloud platforms and provide a unified control plane for managing databases across multiple cloud systems.

In January the San Ramon, Calif.-based company unveiled Tessell Database Lifecycle Management for Exadata@Azure, the latter the Oracle-Microsoft collaboration that makes the Oracle Database and Exadata services available directly within the Azure platform.

Top Executive: CEO Hamid Azzawe

TigerGraph provides the TigerGraphDB graph database and graph analytics software, along with the TigerGraph Cloud graph database-as-a-service and GraphStudio graph analytics user interface.

Because graph databases show the relationships between data entities, they are particularly well-suited for such tasks as product and service marketing, customer 360 management, recommendation engines, fraud detection, anti-money laundering, and risk assessment and monitoring.

The most recent database release from the Redwood City, Calif.-based company introduced extended support for workload management, real-time data ingestion monitoring, Kubernetes and OpenCypher.

Top Executive: CEO Bill Cook

The YugabyteDB high-performance, distributed SQL database is designed for running mission-critical, cloud-native transactional applications. Yugabyte Managed is the company’s fully managed database-as-a-service.

The Sunnyvale, Calif.-based company also offers YugabyteDB Voyager for migrating data from other databases, such as Oracle, PostgreSQL and MySQL, to Yugabyte.

Yugabyte was founded in 2016 by three former Facebook engineers. The company’s name includes “yuga,” the Sanskrit word for “era” or long period of time.