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Recce

Recce

Explore, validate, and share data impact before merging

Website datarecce.io
Overview

What it is

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.

Intent

I need it when

Reduce time spent on data quality assurance and PR review cycles

Recce accelerates PR review from days to hours by automating validation checks and providing clear, actionable insights. Teams report 90% reduction in review time and 70% reduction in customer data complaints through early-stage validation.

Understand and trace the impact of code changes on downstream data pipelines and reports

Recce provides downstream impact analysis that traces schema changes to affected tables and dashboards, showing which reports or processes are impacted by a PR. The agent visualizes lineage and value changes for complete visibility.

Validate data changes before merging pull requests to prevent downstream data issues

Recce runs automated schema diffs, data diffs, row counts, and downstream impact analysis on every PR, catching breaking changes before merge. The AI agent explains what changed and why it matters, reducing manual investigation time from hours to minutes.

Build confidence in shipping data changes without blind trust in basic tests

Recce provides 'proof of correctness' for data changes through comprehensive validation beyond basic test results. LLM-powered insights explain what passed, what failed, and what's safe to ignore, enabling teams to ship with confidence rather than fear.

Streamline data review collaboration across teams and stakeholders

Recce Cloud enables teams to comment on diffs, share findings, and turn one-off questions into automated checks. SOC-2 compliant platform with unlimited seats allows non-technical stakeholders to review data changes without raw data exposure.

Drop

Not a fit when

  • Teams that do not use dbt or pull request-based workflows for data changes
  • Organizations without data engineering teams or those not reviewing data schema/pipeline changes
  • Solo practitioners or teams with minimal data change frequency who do not need collaboration features
  • Companies requiring on-premises deployment without BYOC capability (only available on Enterprise plan)
  • Teams seeking real-time data monitoring or production incident response rather than pre-merge validation
Commercials

Pricing

USD0 - USD250 / monthly View pricing