Best Build Automation Tools for SQL

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Compare the Top Build Automation Tools that integrate with SQL as of July 2025

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This a list of Build Automation tools that integrate with SQL. Use the filters on the left to add additional filters for products that have integrations with SQL. View the products that work with SQL in the table below.

What are Build Automation Tools for SQL?

Build automation tools are software tools that automate the process of compiling, testing, and deploying software applications. These tools help developers streamline the building of software from source code, ensuring that the process is repeatable, consistent, and efficient. Build automation typically includes compiling code, running unit tests, generating reports, packaging software, and deploying it to different environments. By automating these steps, build automation tools reduce human errors, improve efficiency, and support continuous integration and continuous delivery (CI/CD) practices. Compare and read user reviews of the best Build Automation tools for SQL 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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