Automated Testing for Analytics Engineers
Get full test coverage across all your dbt models. See how SQL updates effect tables, columns, rows, and dashboards before merging to production.
“The integration between dbt and Datafold is a game-changer. There is so much value in actually understanding the effect of your pull request. It's easy to set up, and it gives me the confidence that my dbt code does what I expect it to do.”
Josh Devlin, Analytics Engineer
Get a detailed impact analysis on every dbt pull request. Instantly see how the code change affects the produced data in the current model and in its downstream dependencies using Datafold's Data Diff and column-level lineage.
Jump into Datafold with dbt using a native integration with dbt Cloud. Running a self-hosted dbt installation? Datafold's Python SDK makes implementing regression testing in your CI/CD pipeline just as seamless.
“Have been using Datafold fairly extensively and it has been an extraordinary help. It makes it a lot easier to understand the impact of your change on downstream data – have found it to be particularly helpful with understanding changes to reporting tables.
The tool is super easy to use and does a great job highlighting exactly where there are differences in your data in a digestible way.”
Zachary Baustein, Lead Product Analyst
"Datafold's Data Diff is the missing piece of the puzzle for data quality assurance. When I first heard about Datafold, all I could think was “Finally!” - it’s an unspoken problem that we all know about and no one wants to talk about. Datafold gives us full confidence when we ship changes into production, which historically I couldn’t say about PRs."
Documentation and support when integrating Datafold with dbt
Schedule a personal call and see how Datafold can help you
To get Datafold to integrate seamlessly with your data stack we need to have a quick onboarding call to get everything configured properly