Struggling to choose between gitSQL and SQL Source Control? Both products offer unique advantages, making it a tough decision.
gitSQL is a Development solution with tags like git, sql, database, version-control.
It boasts features such as Integrates with Git for version control, Tracks changes to database schemas and contents, Allows comparing versions of the database, Enables rolling back changes, Supports collaboration among developers and pros including Open-source and free to use, Seamless integration with Git, Provides comprehensive version control for databases, Enables collaboration and team-based development.
On the other hand, SQL Source Control is a Development product tagged with version-control, database, collaboration.
Its standout features include Version control for database code objects like stored procedures, functions, triggers, and table structures, Collaborative development and change management for database teams, Integration with popular version control systems like Git, Subversion, and Team Foundation Server, Ability to compare database schema and data between different environments or versions, Automated deployment of database changes, Rollback functionality to revert changes, and it shines with pros like Streamlines the database development and deployment process, Enables collaborative development and improves code quality, Provides visibility and control over database changes, Integrates with widely-used version control systems.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
gitSQL is an open-source SQL version control system that integrates with Git. It allows developers to track changes made to database schemas and contents, compare versions, roll back changes, and collaborate with others.
SQL Source Control is a version control system designed specifically for database code objects like stored procedures, functions, triggers, and table structures. It allows teams of developers to collaboratively develop and manage changes to database objects over time.