MLflow
In Beta, the MLflow UI can show traces stored in Unity Catalog without you selecting a SQL warehouse.
What Beta promises
Open to most customers but not for production: support runs through engineering, and the shape of it can still move. On by default on Premium, off on Enterprise.
| Who can use it | Most customers |
|---|---|
| Production use | No |
| Support | Engineering only |
| On by default | Premium yes, Enterprise no |
The definitions are Databricks' own, on its release types page. The label on this page is the one the feature's documentation states, last checked on 1 Nov 2026.
Where to read more
It is part of something we wrote up: MLflow Tracing for GenAI applications — MLflow Tracing records each GenAI request as a tree of spans carrying inputs, outputs, latency and token counts, stored in an MLflow experiment or in Unity Catalog.