Product design: how our SaaS integrates with git

Tinybird's approach to managing analytics data projects emphasizes the importance of treating data as code, allowing it to be stored in version control systems akin to traditional software development. This methodology involves serializing resources like datasources and data transformation pipes into a simple, text-based format that is easily editable and compatible with existing tools such as Dockerfile, which many developers are familiar with. By enabling projects to be mirrored in repositories like GitHub, Tinybird facilitates the use of best practices like continuous integration, testing, and automated workflows, which are often challenging to implement in SaaS products that do not support such mirroring. This design allows for seamless integration with version control systems and code editors, providing flexibility in managing data pipelines, testing API endpoints, and deploying data workflows across different environments.