Best SQL Databases for Linux
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Compare the Top SQL Databases for Linux as of February 2026
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This a list of SQL Databases for Linux. Use the filters on the left to add additional filters for products that have integrations with Linux. View the products that work with Linux in the table below.
What are SQL Databases for Linux?
SQL databases are structured systems that use the Structured Query Language (SQL) to store, retrieve, and manage data. They organize data into tables with rows and columns, ensuring that information is easily accessible, consistent, and scalable. SQL databases are widely used in applications that require complex queries, transactions, and data integrity, making them essential for web applications, financial systems, and enterprise environments. These databases offer robust features for security, data normalization, and maintaining relationships between different datasets. Overall, SQL databases are fundamental to managing relational data efficiently and reliably across various industries. Compare and read user reviews of the best SQL Databases for Linux currently available using the table below. This list is updated regularly.
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1
MySQL
Oracle
MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use, MySQL has become the leading database choice for web-based applications, used by high profile web properties including Facebook, Twitter, YouTube, and all five of the top five websites*. Additionally, it is an extremely popular choice as embedded database, distributed by thousands of ISVs and OEMs.Starting Price: Free -
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IBM Db2
IBM
IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor. -
3
Greenplum
Greenplum Database
Greenplum Database® is an advanced, fully featured, open source data warehouse. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes. Greenplum Database® project is released under the Apache 2 license. We want to thank all our current community contributors and are interested in all new potential contributions. For the Greenplum Database community no contribution is too small, we encourage all types of contributions. An open-source massively parallel data platform for analytics, machine learning and AI. Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. Experience the fully featured, integrated, open source analytics platform. -
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Mimer SQL
Mimer
The Mimer SQL codebase is the most modern in the world. It is modular, extremely maintainable, easily expandable, and designed with portability in mind. We know how to squeeze out the best from computers and operating systems, and so does Mimer SQL. Our brand new SQL compiler with the latest in optimization techniques, coupled with a world-class storage engine and no limits besides what the hardware imposes, lays the groundwork for speed and efficiency that is second to none. Continuously improved and refined, the security features of Mimer SQL leave nothing wanting. Data in use, data in motion, and data at rest are all covered with time-tested, reliable, and documented algorithms. Mimer SQL is the ideal companion for the modern in-vehicle computation solution. Its performance and reliability match the hard demands of secure, flexible, and reliable data management in today’s autonomous and connected cars. -
5
PostgreSQL
PostgreSQL Global Development Group
PostgreSQL is a powerful, open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. There is a wealth of information to be found describing how to install and use PostgreSQL through the official documentation. The open-source community provides many helpful places to become familiar with PostgreSQL, discover how it works, and find career opportunities. Learm more on how to engage with the community. The PostgreSQL Global Development Group has released an update to all supported versions of PostgreSQL, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23. This release fixes 25 bugs reported over the last several months. This is the final release of PostgreSQL 10. PostgreSQL 10 will no longer receive security and bug fixes. If you are running PostgreSQL 10 in a production environment, we suggest that you make plans to upgrade. -
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SAP MaxDB
SAP
SAP® MaxDB™ is the database management system developed and supported by SAP SE. SAP MaxDB™ is SAP's own database. It is specifically designed to provide lower total cost of ownership (TCO) for SAP applications. SAP solutions use SAP MaxDB to store both application logic and business data. The database is a central component of any SAP solution installation and provides the basis for its reliability. Information about creating and configuring a database, monitoring, backing up and recovering data, exporting and importing data, managing users, analyzing database performance, using SQL optimizer, searching for errors, developing database applications and further activities. Tools integrated in the Computing Centre Management System (CCMS) for analyzing a SAP MaxDB database, scheduling actions and monitoring the database functions and alerts. Command line tool for database administration. -
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H2
H2
Welcome to H2, the Java SQL database. In embedded mode, an application opens a database from within the same JVM using JDBC. This is the fastest and easiest connection mode. The disadvantage is that a database may only be open in one virtual machine (and class loader) at any time. As in all modes, both persistent and in-memory databases are supported. There is no limit on the number of database open concurrently, or on the number of open connections. The mixed mode is a combination of the embedded and the server mode. The first application that connects to a database does that in embedded mode, but also starts a server so that other applications (running in different processes or virtual machines) can concurrently access the same data. The local connections are as fast as if the database is used in just the embedded mode, while the remote connections are a bit slower.
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