DataRecce | Explore, validate, and share data impact before merging
Recce
Introduction
Recce is a data change management and validation platform designed to help teams review, understand, and confidently ship data changes—particularly in dbt environments. It provides contextual diffing, lineage tracing, and production-safe validation workflows.
Use Cases
dbt PR Review
Compare development and production environments to catch data issues before merging.
Impact Analysis
Visualize downstream effects of schema or data changes using column-level lineage and diffs.
Continuous Integration (CI) Integration
Automate data validation in CI/CD pipelines with GitHub Actions support.
Data Quality Checks
Spot irregularities by diffing row counts, distributions, histograms, and value profiles.
Stakeholder Collaboration
Share contextual validation reports and comment-ready PR insights for business team alignment.
Features & Benefits
Column‑Level Lineage Traceability
Understand exactly how each column is derived and transformed across changes.
Multi‑Modal Diffs
Compare schema, row counts, value distributions, top-k categories, and query outputs.
Live PR Integration
Embed summaries and validation results directly into pull requests.
CI/CD Automation
Seamlessly incorporate Recce into GitHub workflows for continuous validation.
SOC 2 Certified & Scalable
Enterprise-grade security and support for shared checklists and team collaboration.
