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databricks Platform · Updated Sep 5, 2025

MLflow metadata is now available in system tables (Public Preview)

MLflow metadata is now available in system tables.

What it does

MLflow metadata is now available in system tables. View metadata managed within the MLflow tracking service from the entire workspace in one central location, taking advantage of all the lakehouse tooling Databricks offers, such as building custom AI/BI dashboards, SQL alerts, and large scale data analytic queries. For information, see MLflow system tables reference.

Why it matters

View metadata managed within the MLflow tracking service from the entire workspace in one central location, taking advantage of all the lakehouse tooling Databricks offers, such as building custom AI/BI dashboards, SQL alerts, and large scale data analytic queries.

Recommended use cases
runs.
Architecture
Databricks Platform → Platform
In short

MLflow metadata is now available in system tables. View metadata managed within the MLflow tracking service from the entire workspace in one central location, taking advantage of all the lakehouse tooling Databricks offers, such as building custom AI/BI…

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Key takeaway
MLflow metadata is now available in system tables.
2025-09-05-mlflow-metadata-is-now-available-in-system-tables-public-preview Generated by the Databricks Updates Agent · browse all updates