Database Engine Popularity Rankings
Monthly Updates
Last updated: May 1, 2026
The Red9 Ranking System was created to gauge the popularity of DBMS (Database Management Systems) across the world. Below are several charts as well as table-based information to display our findings. Rankings are updated every month, so all data is relevant and current.
Based on scientifically-collected and analyzed data, the Red9 Ranking Algorithm collects data from various online sources across the internet.
“Popularity,” as we state it, is measured by a scientifically-weighted algorithm imposing various levels of weight on pieces of data that our team collects each month.
Here are the data sources that we curate data from in order to calculate our rankings:
- Amazon books – any popular DBMS will have plenty of supporting literature to go along with it. We search Amazon to quantify how much supporting (instructional and otherwise) literature there is for each DBMS, across multiple search query combinations.
- Search results & mentions – to gauge general interest, we collect and quantify millions of search query results using a comprehensive combination of DBMS-related search queries, coupling them together with each system name. An example would be quantifying the number of results for the query “mysql database” across many search engines. Google, YouTube and other lesser-known search engines are utilized to collect and analyze results.
- Technical discussions – for technical mentions and discussions from engineering folks, we query Stack Overflow to gauge the amount of conversations happening there around a particular DBMS.
- Job offers – the number of employment offerings are very heavily tied to how much a particular technology is being used in the marketplace. We query sites such as Stack Overflow, Dice, Monster.com LinkedIn Jobs to quantify the hiring culture around each DBMS.
- LinkedIn.com – in the professional space, activity on LinkedIn (in both profiles stating experience and jobs) is indicative of the popularity of a particular DBMS.
- Social media – we use the number of results on social media platforms like Twitter, YouTube and Quora (querying multiple search query combinations for each DBMS) to measure how much “buzz” there is around a particular DBMS at any given time.
BUZZ
Oracle
Most discussed this month
GROWING
5 MongoDB
Fastest growing this month
FALLING
-3 Aerospike
Lost the most this month
| Database Management System | Rank Now | May 2026 | Jun 2025 | ||
|---|---|---|---|---|---|
|
Oracle | 1 | 1 0 | 0 0 | Oracle is a popular database for enterprise and web. Used in Netflix, eBay, LinkedIn, MIT |
 |
MySQL | 2 | 2 0 | 0 0 | The world’s most popular database for web. Used in WordPress, Facebook, Twitter, and YouTube |
|
MongoDB | 3 | 8 5 | 0 0 | MongodB is document-based leading NoSQL database. Used in Google, Facebook, Adobe |
 |
Cassandra | 4 | 7 3 | 0 0 | Popular use in large, active data sets. Used in eBay, GitHub, GoDaddy, Instagram, Netflix, Reddit |
 |
Microsoft SQL Server | 5 | 6 1 | 0 0 | Microsoft SQL server is produced by Microsoft. Used in Enterprise applications, .NET, Bing |
 |
PostgreSQL | 6 | 8 2 | 0 0 | Postgresql is an open-source object-relational database system. Used in Skype, CloudFlare |
 |
Redis | 7 | 11 4 | 0 0 | Redis is a non-relational, NoSQL database. It is a well-known caching solution that excels at it |
 |
IBM Db2 | 8 | 10 2 | 0 0 | IBM db2® developed by IBM.Used in 3scale, XMLi5 Ltd., ITAIPU BINACIONAL, Applic8 |
 |
SQLite | 9 | 11 2 | 0 0 | SQLite used in mobile phones (android device, iPhone, and ios device) and most computers |
 |
MariaDB | 10 | 11 1 | 0 0 | Open Source MySQL fork by original database developer. Notable users like Wikipedia, and Google |
 |
Elasticsearch | 11 | 12 1 | 0 0 | Elasticsearch is a NoSQL database used in-app search, site search, enterprise search, and metrics |
 |
Microsoft Access | 12 | 11 -1 | 0 0 | Popular database for enterprise applications. Used in the home or small business applications |
 |
Teradata | 13 | 18 5 | 0 0 | Teradata is best suitable for big data and IoT. Only supported by Linux OS |
 |
FileMaker | 14 | 17 3 | 0 0 | Filemaker creates custom apps that manage contacts, invoices, projects, content, inventory |
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Splunk | 15 | 18 3 | 0 0 | Splunk interacts with log data for the web. Used in AIRBUS, HYATT, CARNIVAL |
 |
Microsoft Azure SQL Database | 16 | 18 2 | 0 0 | Microsoft Azure SQL database is a relational DBMS. Used in enterprise applications |
 |
Neo4j | 17 | 20 3 | 0 0 | Neo4j is a graph-based database. Used in Hp, Walmart, Adobe, Volvo, Cisco |
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Solr | 18 | 19 1 | 0 0 | Solr probably the database of choice when building a search platform for Web sites |
 |
HBase | 19 | 22 3 | 0 0 | HBase is part of the Hadoop ecosystem. It is used when data is in the form of a key-value pair |
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Memcached | 20 | 23 3 | 0 0 | Memcached works like “Redis” and used by Facebook to build data-intensive features |
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Informix | 21 | 23 2 | 0 0 | IBM Informix is developed by IBM. Suited for embedded data-management solutions |
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Firebird | 22 | 22 0 | 0 0 | An open-source SQL relational database with stored procedures and triggers |
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Microsoft Azure Cosmos DB | 23 | 23 0 | 0 0 | Cosmos DB is JSON based database. It is scalable, multi-model database service |
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CouchDB | 24 | 28 4 | 0 0 | Couchdb uses HTTP requests to populate the database. It offers an easy-to-use API |
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Amazon DynamoDB | 25 | 24 -1 | 0 0 | NoSQL database service provided by Amazon. Used in Amazon Web Services (AWS) |
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Spark SQL | 26 | 28 2 | 0 0 | Spark is a lightning-fast cluster computing system. It provides a high-level API |
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Amazon Redshift | 27 | 27 0 | 0 0 | Amazon Redshift is an internet hosting service. It is the part of amazon web services |
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dBASE | 28 | 26 -2 | 0 0 | dBase was one of the first databases. The up-to-date product is dBase plus |
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Couchbase | 29 | 29 0 | 0 0 | One of the most popular database for the web. Used in Amadeus. LinkedIn, eBay, sky |
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Google BigQuery | 30 | 32 2 | 0 0 | Bigquery is Google’s data warehouse. It requires only storage and not queries |
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Vertica | 31 | 30 -1 | 0 0 | Vertica is popular for web database services. Used by ATLAS, GUESS, AIRCEL, AVITO |
 |
InfluxDB | 32 | 34 2 | 0 0 | Influxdb is the open-source time-series database for web services. Used in the pipeline, eBay |
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Microsoft Azure Search | 33 | 31 -2 | 0 0 | Microsoft azure search is a search engine database for web and mobile app development |
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Firebase Realtime Database | 34 | 32 -2 | 0 0 | Real-time database with data synchronization for web apps, Android, iOS, REST API |
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Amazon Aurora | 35 | 35 0 | 0 0 | Amazon aurora works with web apps. It is a part of amazon relational database service |
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Google Cloud Firestore | 36 | 36 0 | 0 0 | Cloud Firestore is a server-less NoSQL document database for your mobile, web, and IoT apps |
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Netezza | 37 | 38 1 | 0 0 | IBM Netezza high-performance data warehouse appliances and advanced analytics apps |
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H2 | 38 | 40 2 | 0 0 | H2 is full of a supported RDBMS written in java and used as a database server |
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Hive | 39 | 39 0 | 0 0 | Suited for log processing, text mining, document indexing. Hive is used by Netflix, FINRA |
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Interbase | 40 | 43 3 | 0 0 | Interbase is used for tracking, disaster recovery, and data protection of web services |
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Greenplum | 41 | 40 -1 | 0 0 | Greenplum works on big data analytics like ai or IoT.It supports only Linux OS |
| Google Cloud Datastore | 42 | 42 0 | 0 0 | Highly-scalable NoSQL database for acid transactions, SQL-like queries, indexes and much more | |
 |
SAP HANA | 43 | 42 -1 | 0 0 | SAP HANA is an in-memory database. Used in the advanced analytic real-time data processing |
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Ehcache | 44 | 41 -3 | 0 0 | Ehcache is a widely adopted java cache memory block storing serialized data objects |
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Derby | 45 | 45 0 | 0 0 | Apache derby embedded in java programs and used for online transaction processing |
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Microsoft Azure SQL Data Warehouse | 46 | 47 1 | 0 0 | Suited for big data analytics, predictive modelling, optimization, and other large scale analysis |
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OrientDB | 47 | 46 -1 | 0 0 | OrientDB is incredibly fast, scalable with its multi-master replication |
|
Aerospike | 48 | 45 -3 | 0 0 | Aerospike is a modern database built from the ground up to push the limits of flash storage |
 |
Hazelcast | 49 | 47 -2 | 0 0 | Hazelcast memory data grid platform. It makes I/O and processing much more efficient |
| Kdb+ | 50 | 50 0 | 0 0 | Kdb+ is an embeddable, high-performance time-series DBMS. It supports almost all OS | |