"It's similar to application version control, where you keep track of all the changes (bug fixes, improvement, features, hotfixes) done to the application by all your team members. The same can be done for the database to keep track of all the changes done by different team members. This can include database schema, indexes, views, stored procedures, functions, database configurations, etc. The database version control acts as a single source of truth, allowing you to properly view, track and manage all the modifications done"
"However, the database is an important aspect that is left out of the agile development process. In this article, we will see what you can achieve by implementing database version control into your CI/CD pipeline. Why is Database often left out of CI/CD? Even in the age of DevOps, databases are often left out of the CI/CD pipeline and managed separately. This creates a disconnect between the application and the database as well as development and database teams."
Database version control records schema, object, and configuration changes to create a single source of truth for database assets. It captures schema, indexes, views, stored procedures, functions, and configuration changes so teams can view, track, and manage modifications. Databases are often omitted from CI/CD, causing disconnects between application and database lifecycles and slowing database changes while applications evolve rapidly. Implementing database version control improves collaboration, enables safe rollbacks, and ensures reproducible deployments. A unified tool is essential when managing multiple database platforms. Implementation challenges include complexity, drift, and team coordination, which specialized tools can simplify.
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