Case Study: Thumbtack achieves 200+ hours saved per month and improved data quality with Datafold

Thumbtack leverages Datafold to save hundreds of hours and improve data quality peace of mind

Thumbtack, the $3.2B home‑services marketplace, faced a scaling challenge: its 50+ analysts and five data engineers were submitting 100+ SQL pull requests per month, and data quality bugs could cascade across tables, causing outages and forcing the team into time‑consuming manual reviews. To reduce risk and automate QA, Thumbtack partnered with Datafold (since June 2020).

Datafold’s Data Diff and column‑level lineage were deployed and integrated into Thumbtack’s CI/GitHub workflow to automatically validate every SQL change and publish impact reports on pull requests. The result: Datafold automates testing on 100+ PRs per month, saves 200+ hours monthly, boosts productivity by 20%+, reduces outages, and gives the team greater confidence in their data.

Thumbtack

John Lee

Director of Product Analytics