![]() ![]() As a result, with application code releases accelerating, the database is increasingly becoming a bottleneck that holds organizations back from faster software releases. The tools and techniques for database version management have remained relatively manual and stagnant. However, the same is not true for database schema changes and database schema version control. To this end, there has been a sharp growth in database source control and version control database tools to bring transparency and automation to application code as it moves from development to production. In trying to accelerate the pace of software delivery, organizations need to manage both application and database changes. Most people on the database development side haven’t had the right tools or processes in place yet. Most software developers have been reaping the benefits of easier collaboration and increased productivity. Today’s application developers wouldn’t dream of working without version control. In order to effectively version a database, you need to track and understand the changes that are happening. What is database versioning?ĭatabase versioning begins with database schema, the structure of the database. As a result, the database is one of the most valuable and important assets to any organization – therefore database version control is needed.Īccording to Google Cloud’s DevOps Research and Assessment (DORA) team in their 2021 Accelerate State of DevOps Report, Elite DevOps performers are 3.4 times more likely to incorporate database change management into their process than low performers. Unlike applications, databases are stateful. Data is a persistent and valuable resource. However, unlike the application, the database component cannot simply be overwritten. The application component is stateless, so teams can simply overwrite the application with the latest version when releasing new software experiences. Both elements need to be present for a functional end-user experience. There are two key elements to any software experience: the application and the data. Intro to Database Version Control/Database Versioning ![]()
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