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Top 30 Databases in the Market (July 2025)

Based on the DB-Engines popularity ranking (last updated July 2025), which measures mentions, job postings, social media, and search trends. The market continues to favor relational databases at the top, with growing adoption of NoSQL and cloud-native solutions.

Rank Database Type Key Notes
1 Oracle Relational (RDBMS) Enterprise staple for web and large-scale apps; used by Netflix, eBay, LinkedIn.
2 MySQL Relational (RDBMS) Open-source web database leader; powers WordPress, Facebook, Twitter.
3 MongoDB NoSQL (Document) Flexible document store; used by Google, Facebook, Adobe.
4 Cassandra NoSQL (Wide-column) Handles large active datasets; used by eBay, GitHub, Instagram.
5 Microsoft SQL Server Relational (RDBMS) Microsoft ecosystem integration; for enterprise apps and .NET.
6 PostgreSQL Relational (RDBMS) Advanced open-source features; used by Skype, CloudFlare.
7 Redis NoSQL (Key-value) High-performance caching; excels in real-time apps.
8 IBM Db2 Relational (RDBMS) Enterprise-focused; used in financial and large orgs like ITAIPU.
9 SQLite Embedded Relational Lightweight for mobile and apps; ubiquitous in devices.
10 MariaDB Relational (RDBMS) MySQL fork; used by Wikipedia, Google.
11 Elasticsearch Search & Analytics NoSQL for search and logs; powers app/site search.
12 Microsoft Access Relational (RDBMS) Desktop for small business and home apps.
13 Teradata Data Warehouse Big data and IoT; Linux-only, enterprise analytics.
14 FileMaker Relational (RDBMS) Custom app builder for inventory, projects; Claris product.
15 Splunk Analytics Platform Log data analysis; used by Airbus, Hyatt.
16 Microsoft Azure SQL DB Cloud Relational PaaS for scalable enterprise apps.
17 Neo4j Graph DBMS Relationship-focused; used by HP, Walmart, Cisco.
18 Solr Search Engine Lucene-based for web search platforms.
19 HBase NoSQL (Wide-column) Hadoop ecosystem for key-value big data.
20 Memcached Key-value Cache Distributed caching; used by Facebook for high-traffic.
21 Informix Relational (RDBMS) Embedded solutions; IBM product for time-series.
22 Firebird Relational (RDBMS) Open-source with procedures/triggers.
23 Microsoft Azure Cosmos DB Multi-model NoSQL Globally distributed, JSON-based; scalable.
24 CouchDB NoSQL (Document) HTTP API for replication and offline sync.
25 Amazon DynamoDB NoSQL (Key-value/Document) Serverless AWS; fully managed.
26 Spark SQL In-memory Analytics High-level API on Spark for big data queries.
27 Amazon Redshift Data Warehouse Petabyte-scale AWS warehousing.
28 dBASE Relational (RDBMS) Legacy desktop database; evolved to dBASE Plus.
29 Couchbase NoSQL (Document) Web-scale; used by LinkedIn, eBay.
30 Google BigQuery Data Warehouse Serverless Google Cloud analytics; pay-per-query.

The DBMS market is expected to grow beyond $150 billion by 2026, with AI and cloud driving shifts toward multi-model systems.

[DB-Engines Rankings 2025 Monthly Updates](https://red9.com/database-popularity-ranking/)

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