Best SQL Server Software for Linux

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Compare the Top SQL Server Software for Linux as of April 2025

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What is SQL Server Software for Linux?

SQL server software is a relational database management system (RDBMS) that allows businesses to store, manage, and retrieve data in structured formats using Structured Query Language (SQL). These platforms provide a robust and scalable solution for handling large volumes of data, enabling users to create, read, update, and delete data within relational databases. SQL server software includes features for data storage, transaction management, data security, backup, and performance optimization, ensuring data integrity and availability. It supports a range of applications from small businesses to enterprise-level solutions, offering integration with other business tools and systems. SQL server software is often used in applications requiring high-performance data storage, reporting, and analytics capabilities. Compare and read user reviews of the best SQL Server software for Linux currently available using the table below. This list is updated regularly.

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    DBmaestro

    DBmaestro

    DBmaestro

    DBmaestro’s DevOps Platform paves the way for safe implementation of CI/CD for Oracle, MS-SQL, DB2, PostgreSQL, MySQL and MariaDB databases. DBmaestro brings DevOps best practices to the database, delivering a new level of speed, efficiency, security and process integration. With DBmaestro’s solutions, organizations can run database deployments safely and methodically, increasing development team productivity and expediting time-to-market, making unplanned database downtime a thing of the past. The platform combines several key features that make its value greater than the sum of its parts: repeatable release automation, database version control, governance and security modules, and a business activity monitor. The result is complete database oversight from a single source and a vital edge over the competition. DBmaestro’s zero-friction platform harmoniously complements all major databases, without requiring database engineering teams to change their core processes.
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