Case Study: Dutchie achieves zero data incidents and 100% data confidence with Datafold

Dutchie eliminates data outages and improves data confidence with Datafold

Dutchie, a Series C cannabis ecommerce marketplace, faced growing risk from silent data failures as its small data team struggled to review dbt/SQL changes thoroughly. To address this, Dutchie adopted Datafold—initially using Datafold’s turnkey dbt Cloud integration and later its Python SDK in CI/CD—because it was the only solution that met their data quality requirements.

Datafold’s Data Diff now gates every dbt pull request, producing impact analyses that catch schema/type changes, high-level statistical shifts, and primary key issues before they reach production, while Datafold’s catalog and column-level lineage boost observability. The result: 0 data incidents since adoption, 100+ hours saved through automated regression testing, improved data democratization for stakeholders, and 100% data confidence.

Dutchie

David Wallace

Data Engineer