Lakehouse Replay

Lakehouse Replay is a Databricks developer experience capability, introduced June 2026.

Automatically replays a sample of read-only serverless workloads against upcoming Databricks Runtime releases to catch regressions before they reach production.

• It quietly re-runs a sample of your read-only serverless workloads against the next Databricks Runtime before you upgrade, so a runtime regression shows up in a shadow run instead of in prod - no setup, your data never leaves the workspace, and the replay compute isn't billed. 🔗
• It is in Beta, enabled by a workspace admin from the Previews page. 🔗

⚠ Limitations: Replays only read-only SQL and DataFrame workloads on serverless SQL warehouses, notebooks, and jobs, reading Unity Catalog Delta tables. Writes, UDFs, AI functions like ai_query, federated queries, and ABAC/RBAC workloads are excluded; for DataFrames only the submitted Spark plan is replayed, not the preceding Python cells. 🔗

Category

Developer experience

Introduced

June 2026🔗

Verified

2026-07-23