Preamble
There are official ratings and other analytical data that show DBMS popularity.
Some ratings are based on the frequency of reference in search engine queries, ie, if people are more often looking for information on the database on the Internet, then we can conclude that this database is popular. And some focus on the number of questions asked about a particular database in specialized forums, ie, if more questions are asked about working with a particular database, it means it is used by many people, and it is popular.
On which this rating is based
In any case, such ratings, as well as programming language ratings, do not reflect the exact actual popularity of a particular DBMS, as they are based on a single indicator. And as a result, the ratings simply contradict each other.
However, if we analyze all the sources, we can identify several databases that are most often found in the top of each rating, especially since the composition of the top databases in all ratings is approximately the same, only the DBMS places are different.
On the basis of all these sources, we can conclude that certain databases are really popular for all indicators, not just for one.
Thus, to simplify your task in analyzing all the necessary information, this material presents the TOP 5 DBMS, which is based on all popular official ratings and indicators for the previous year.
Data sources (official indicators and DBMS ratings):
- PYPL (PopularitY of Programming Language) – rating is based on Google search engine data;
- Stack Overflow – based on the number of questions related to the database;
- DB-Engines – this rating is based on many indicators:
- Data from Google, Bing and Yandex search engines;
- Number of questions on Stack Overflow and DBA Stack Exchange;
- Number of job offers on Indeed and Simply Hired that mention the system;
- Number of profiles on LinkedIn and Upwork professional networks that mention the system;
- Number of mentions on Twitter.
MySQL

MySQL is a free relational database management system. MySQL development and support is provided by Oracle. MySQL is widely spread on the Internet as a system of data storage at sites, in other words, the vast majority of sites store their data in a database MySQL. Therefore, it is not surprising that MySQL takes the leading position in our ranking.
In the Stack Overflow rating MySQL takes the first place, i.e. programmers most often ask questions related to MySQL.
In all other ratings MySQL confidently takes second place, and this is one of the most stable results among all our participants today. That is why MySQL takes the first place in the rating of the most popular DBMS.
Microsoft SQL Server

Microsoft SQL Server is a relational database management system developed by Microsoft. It is actively used in the corporate sector, especially in large companies. And it is not just a DBMS – it is a whole complex of applications that allows not only to store and modify data, but also to analyze them, to secure this data and much more.
Microsoft SQL Server confidently takes the third line in the rating, so we give the second line of our rating to this DBMS.
Oracle

Oracle Database is a database management system from Oracle. This DBMS is also actively used by large companies and costs a lot of money, but in return it provides huge functionality and reliability. Therefore, Oracle Database and Microsoft SQL Server are serious competitors to each other.
The results of Oracle in the ratings are not so clear, for example, according to PYPL and DB-Engines, Oracle Database takes first place, according to Stack Overflow Oracle is on the eighth position, according to polls of software companies Oracle on the fourth place in popularity.
If we take into account only a couple of ratings, Oracle can be placed even on the first place, but if we take into account all the results, Oracle cannot be placed on the first place, so this DBMS ranks third in our rating.
PostgreSQL

PostgreSQL is a free relational database management system. It is actively used on UNIX-like platforms, to implement both small and medium, and large projects.
The best result of PostgreSQL in the ratings of Stack Overflow, where it ranks second after MySQL.
PYPL and DB-Engines put PostgreSQL in fourth place, surveys show that PostgreSQL is in third place in popularity, so PostgreSQL confidently takes fourth place in our ranking.
MongoDB

MongoDB is a document-based open source database management system that does not require a table schema description. MongoDB – is classified as NoSQL and uses JSON-like documents and database schema.
If all four previous DBMS on hearing at the majority of IT experts, about MongoDB heard not many. But it confidently takes 5th line in almost all ratings.
The Most Popular Database (TOPDB Index) 2004; 2019
About Enteros
Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of clouds, RDBMS, NoSQL, and machine learning database platforms.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
How to Optimize eCommerce Growth with Enteros Database Software, Cloud FinOps, and AI-Powered Operational Intelligence
- 17 July 2026
- Database Performance Management
Introduction The global eCommerce industry continues to expand at an unprecedented pace. Consumers expect personalized shopping experiences, real-time inventory visibility, secure payment processing, rapid order fulfillment, and seamless omnichannel interactions. Whether customers are browsing products, completing purchases, tracking shipments, or interacting with customer support, every digital touchpoint relies on databases operating with exceptional speed and … Continue reading “How to Optimize eCommerce Growth with Enteros Database Software, Cloud FinOps, and AI-Powered Operational Intelligence”
How to Optimize Aviation Operations with Enteros Database Software, AI-Powered Analytics, and Operational Intelligence
Introduction The aviation industry is one of the most data-intensive sectors in the world. Every day, airlines, airports, cargo operators, and aviation service providers process millions of transactions involving flight reservations, passenger check-ins, baggage handling, aircraft maintenance, crew scheduling, air traffic coordination, cargo logistics, loyalty programs, and financial operations. As passenger demand continues to grow … Continue reading “How to Optimize Aviation Operations with Enteros Database Software, AI-Powered Analytics, and Operational Intelligence”
How to Optimize Oil and Gas Operations with Enteros Database Software, Predictive Analytics, and Operational Intelligence
- 16 July 2026
- Database Performance Management
Introduction The oil and gas industry is undergoing a major digital transformation as companies adopt cloud computing, Industrial IoT (IIoT), artificial intelligence (AI), predictive maintenance, and real-time analytics to improve operational efficiency and profitability. From upstream exploration and drilling to midstream transportation and downstream refining, every stage of the energy value chain depends on reliable … Continue reading “How to Optimize Oil and Gas Operations with Enteros Database Software, Predictive Analytics, and Operational Intelligence”
How to Optimize Higher Education Technology with Enteros Database Software, Operational Intelligence, and AI-Powered Analytics
Introduction Higher education institutions are experiencing rapid digital transformation. Universities and colleges are investing in cloud technologies, online learning platforms, student information systems, artificial intelligence, learning analytics, research computing, and digital campus initiatives to improve educational outcomes and operational efficiency. Every interaction within a modern university generates data. Student admissions, enrollment, learning management systems (LMS), … Continue reading “How to Optimize Higher Education Technology with Enteros Database Software, Operational Intelligence, and AI-Powered Analytics”