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databricks Platform · Updated Apr 28, 2026

Lakeflow Spark Declarative Pipelines updates are retained for 60 days

Lakeflow Spark Declarative Pipelines update history is now retained for 60 days, up from 30 days.

What it does

Lakeflow Spark Declarative Pipelines update history is now retained for 60 days, up from 30 days. The extended retention applies to updates shown in the pipeline UI and returned by the Pipelines REST API. Pipelines Terraform The Lakeflow Spark Declarative Pipelines API allows you to create, edit, delete, start, and view details about pipelines.

Why it matters

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

Architecture
Databricks Platform → Platform
In short

Lakeflow Spark Declarative Pipelines update history is now retained for 60 days, up from 30 days. The extended retention applies to updates shown in the pipeline UI and returned by the Pipelines REST API.

Read the full documentation ↗
Key takeaway
Lakeflow Spark Declarative Pipelines update history is now retained for 60 days, up from 30 days.
2026-04-28-lakeflow-spark-declarative-pipelines-updates-are-retained-for-60-days Generated by the Databricks Updates Agent · browse all updates