Prevent bad dbt deploys with automated testing in CI.
See the impact of your change right in the pull request. Prevent regressions and streamline pull request reviews.
🔧 Interested in adding Datafold Team Cloud to your CI pipeline? Let's talk! ☎️
Data testing as part of the workflowIntegrate data testing into your development workflow with GitHub and GitLab integrations. See the impact of your change right in the pull request. Prevent regressions and streamline pull request reviews.
PROACTIVE DATA QUALITY
Prevent errors from entering your data pipelineMove your data quality “to the left” as you stop the data incidents before they begin. See how any code change in the ELT or BI code affects the resulting data, both on the value and metric levels.
DOWNSTREAM IMPACT ANALYSIS
Explore dependencies with easeAssess the effect of any proposed code change on other datasets, BI dashboards and ML models using Datafold's integrated column-level lineage. Avoid unexpected regressions and silent breakages.
Easily test every code change from every data producerData engineers, analysts, and scientists can all test their code the same way. Streamline code review processes knowing that every code change has been tested and checked for consistent data quality assurance.