Recce is built to solve a growing problem in data development: the gap between making changes in dbt and truly understanding their downstream impact. While software engineers benefit from structured CI pipelines and code reviews, data teams are still often stuck with shallow automated checks, scattered manual context, and post-merge firefighting. Recce introduces a purpose-built workflow for data reviews—one that prioritizes visibility, validation, and collaboration around data impact, not just syntax.
At its core, Recce helps data engineers and reviewers know exactly what’s changing before a pull request hits production. It automatically surfaces meaningful differences in datasets, highlights downstream impacts, and turns these insights into curated, context-aware validations. These checks aren’t static—teams can reproduce them across environments, embedding reliability into the development process itself. The result is more confident merges and fewer surprises after deployment.
What began as the open source Recce toolkit for local inspection has evolved into Recce Cloud, a collaborative platform where teams can preview, validate, and share results directly within their workflows. Stakeholders gain clarity with explainable reports, reviewers have the context they need, and engineers get faster feedback loops without sacrificing trust. With Recce, data teams can finally bring structure and confidence to their PR process, making data best practices not just aspirational, but operational.
