Post by Thoughtworks

What happens when you can branch a database as easily as you branch code? For years, engineering teams have accepted shared staging environments, mocked data and difficult-to-reproduce production bugs because databases were too expensive and complex to fork. At #DataAISummit, Thoughtworkers Cam Casher and Shanil Anushka Fernando explored how Databricks Lakebase is changing that equation with full-fidelity, governance-aware database branches that can be created in seconds. The result? Teams can test against realistic data, run destructive QA safely and experiment more freely—without impacting others. As software delivery has evolved, databases have remained a stubborn bottleneck. Database branching has the potential to bring the same speed and flexibility to data that developers already expect from code.