Case Study: Reforge saves 18 hours a week and scales its data team with dbt Labs

Reforge uses dbt to 3x their team and save 18 hours a week

Reforge, an education company based in San Francisco, was growing quickly and needed a data stack that could keep up with rising demand for insights. Its team struggled with a poorly performing Postgres warehouse, slow queries, and fragile data modeling practices that were built around engineering workflows rather than a dedicated data platform. dbt Labs helped Reforge modernize its approach using dbt alongside Snowflake and Metaplane.

With dbt Labs’ dbt Cloud, Reforge was able to manage data models more cleanly, improve testing and deployment, and migrate smoothly to Snowflake. The new stack gave the team consistent, accurate data across the organization, faster BI and transformation queries, and better data observability. As a result, Reforge saved 18 hours per week, and the team grew by 350% thanks to easier onboarding and a more scalable workflow.

Reforge

Daniel Wolchonok

Head of Data