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Prepare your data project for production

Tinybird's Git integration transforms data pipeline management, aligning it with established software development practices. This ensures each Tinybird Workspace action relates to a specific Git commit, offering a robust, version-controlled environment for your real-time data deployments. In a nutshell, it brings your workflow closer to industry best practices.

Why use version control?

Version control, a standard in software development, is now integral to building real-time data products with Tinybird. If your Workspace uses Tinybird's integration with Git, it means you can build real-time data products like you build any software - not just benefiting from version control, but also isolated environments, CI/CD, and testing too.

This approach allows you to treat and manage your real-time data in the same way you manage your code. You can take your existing software engineering knowledge and apply the same principles to real-time data products.

When managing your Tinybird projects with version control, you can also:

  • Sync Tinybird actions with your Git commits.
  • Deploy semantically-versioned Data Sources, Pipes, and API Endpoints as code.
  • Use Branches to attach production data to non-production Branches, and test your data pipelines safely with real data.

If you're familiar with version control already, it should make testing, merging, and deploying your Tinybird data projects a familiar process.

Data teams can use Tinybird in the same way that software engineering teams work: To enforce standardized agreements to use version control, code reviews, quality assurance, testing strategies, and continuous deployment.

Next steps