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databricks Platform · Updated Sep 30, 2025

Pipeline update timeline table is now available (Public Preview)

The system.lakeflow.pipeline update timeline table provides complete historical tracking of pipeline updates and supports fine grained analysis of update activity, triggers, results, and compute…

Public Preview Open docs ↗release note ↗
What it does

The system.lakeflow.pipeline update timeline table provides complete historical tracking of pipeline updates and supports fine grained analysis of update activity, triggers, results, and compute usage. note The lakeflow schema was previously known as workflow. The content of both schemas is identical.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Key capabilities
Be both a metastore admin
Be both a metastore admin and an account admin, or
Have USE and SELECT permissions
Have USE and SELECT permissions on the system schemas. See Grant access to system tables.
Architecture
Databricks Platform → Platform
In short

The system.lakeflow.pipeline update timeline table provides complete historical tracking of pipeline updates and supports fine grained analysis of update activity, triggers, results, and compute usage. note The lakeflow schema was previously known as workflow.

Read the full documentation ↗
Key takeaway
The system.lakeflow.pipeline update timeline table provides complete historical tracking of pipeline updates and supports fine grained analysis of update activity, triggers, results, and compute…
2025-09-30-pipeline-update-timeline-table-is-now-available-public-preview Generated by the Databricks Updates Agent · browse all updates