⚡ Databases

Databases are used on websites to store and organize content, user account data, product details, and other important information, making it easy to retrieve when needed.

According to our statistics, database technologies are detected on 46.4% of all websites.
95.7% of these sites use only one database technology, 1.9% use two, and 2.4% use three or more of them.

Please note that it is not always possible to identify the database used by a website, as it is a backend technology. Also, many content management systems support multiple database types. Therefore, we only detect the database if we have sufficient confidence that it is being used.

⭐ Most Popular in 2025

The following chart shows the leading database technologies on the web in 2025, based on market share.

The most popular is MySQL, which dominates the market with an overwhelming 98.8% share.
It is followed by Memcached with 3.4% and Redis with 3.2%.

🚀 Highlights

Here is a list of technologies that are particularly popular in certain countries.
Differences between global and country rankings are shown in parentheses.

✨ Best Database Technologies

Below is a more detailed list of all database technologies we track, ranked by their market share.

RankNameMarket share
1 MySQLAustin, Texas, United States

An open-source relational database management system currently owned by Oracle.

2 Memcached

An open source, high-performance, multi-threaded, event-based key-value store.

3 RedisSan Francisco, California, United States

A popular high-performance in-memory key-value database that persists on disk.

4 Microsoft SQL ServerRedmond, Washington, United States

A relational database management system developed by Microsoft.

5 PostgreSQLToronto, Ontario, Canada

A powerful, open source object-relational database.

6 Firebase Realtime DatabaseMountain View, California, United States

A NoSQL cloud-hosted database.

7 MongoDBNew York, United States

A NoSQL, collection-oriented, schema-free document database.

8 IndexedDBCambridge, Massachusetts, United States

A transactional NoSQL database system for the persistent storage of structured data inside a user's browser.

9 SQLiteCharlotte, North Carolina, United States

A lightweight, open source, cross-platform, single-file database engine.

10 Cloud FirestoreMountain View, California, United States

A flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud.

11 IBM Db2Armonk, New York, United States

A relational database management system designed to handle massive volumes of data.

12 SupabaseSingapore

An open source Firebase alternative based on PostgreSQL.

13 CassandraWilmington, Delaware, United States

An open-source, highly scalable, distributed NoSQL database.

14 Amazon DynamoDBSeattle, Washington, United States

A serverless, NoSQL, fully managed database service that supports key-value and document data models.

15 ScyllaDBSunnyvale, California, United States

A real-time, distributed database that is API-compatible with Apache Cassandra and Amazon DynamoDB.

16 Neo4jSan Mateo, California, United States

A high-performance NoSQL graph database built to leverage both data and its relationships.

17 BigtableMountain View, California, United States

A low-latency, high-throughput NoSQL and key-value database.

18 Amazon NeptuneSeattle, Washington, United States

A serverless graph database engineered to scale for billions of relationships and deliver millisecond-latency queries.

19 PouchDB

An open-source JavaScript database inspired by Apache CouchDB that is designed to run well within the browser.

20 RocksDBMenlo Park, California, United States

An embeddable, persistent key-value store that is optimized for fast, low-latency storage, such as flash drives and high-speed disk drives.

21 TarantoolMoscow, Russia

A transactional persistent in-memory DBMS.

22 RavenDBHadera, Israel

An open source, cross-platform NoSQL document database written in C#.

23 CouchDBWilmington, Delaware, United States

An open-source document-oriented NoSQL database with an HTTP/JSON API.

Data updated

👉 See Also

When interpreting and using the results, please read our methodology and disclaimer.