MLflow trace storage in Unity Catalog is now generally available

GAJul 16, 2026VerifiedAdded Sep 22, 2026

MLflow trace storage in Unity Catalog tables is now generally available. Databricks recommends storing traces in Unity Catalog for new and production workloads: storage is unlimited, traces are stored in OpenTelemetry (OTel) format, access is governed through Unity Catalog schema and table permissions, and you can query traces with SQL, Genie, AI/BI...

SQL Governance Security BI Observability

Read Databricks's release notes

https://docs.databricks.com/aws/en/release-notes/product/2026/july#mlflow-trace-storage-in-unity-catalog-is-now-generally-available

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