What is Recce?
Recce helps data teams discover actual data impact and turn insight into actionable checklists for dbt pull request reviews. It’s a practical way to implement data best practices - know what’s changing, understand the impact, and merge with clarity.
Problem
Data teams manually validate data changes and assess impact during dbt pull request reviews, leading to inefficient and error-prone processes with lack of clarity on actual data impact.
Solution
A dbt-integrated tool enabling users to automatically analyze data impact, generate actionable checklists, and validate changes before merging pull requests (e.g., tracking downstream dependencies, assessing metric deviations).
Customers
Data engineers, analysts, and teams managing dbt workflows, particularly those in mid-to-large enterprises prioritizing data governance and CI/CD pipelines.
Unique Features
Direct integration with dbt core for real-time impact analysis, automated checklist generation aligned with data best practices, and collaborative PR review workflows.
User Comments
Simplifies dbt PR reviews
Reduces deployment risks
Improves team collaboration
Saves hours of manual checks
Essential for data reliability
Traction
Launched on Product Hunt with 100+ upvotes, integrated with GitHub and dbt Cloud, used by 50+ companies (as per website), founder has 1.2K+ LinkedIn followers.
Market Size
The global data engineering market, driven by cloud adoption and data governance demands, is projected to reach $87.9 billion by 2026 (MarketsandMarkets).
