Reverse ETL

The movement of modeled analytical data from a warehouse or lakehouse into operational SaaS tools and business applications.

Why it matters

Reverse ETL helps data teams design systems that are reliable, understandable, governable, and efficient at scale.

Design considerations

• Define ownership, contracts, and expected consumers.
• Make failure, replay, compatibility, and observability behavior explicit.
• Measure quality, freshness, cost, and operational burden rather than optimizing only throughput.