Databricks releases, every cloud Sep 2025 Jan 2026 May 2026 Sep 2026
165
releases of 1357
All time Last updated yesterday
Released on
Not yet on
Product
Release AWS Azure GCP SAP Date Jobs in continuous mode can now have task-level retries for failed tasks Task-level retries replace job-level retries, require continuous mode.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Aug 11, 2025 ServiceNow connector GA Replaces manual API configuration, requires Lakeflow Connect setup.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Aug 8, 2025 Jobs & Pipelines list now includes Databricks SQL pipelines Includes materialized views and streaming tables created with Databricks SQL.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Jul 29, 2025 Moving tables between Spark Declarative Pipelines on Lakeflow pipelines is now GA Supports moving tables in Unity Catalog ETL pipelines.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Jul 24, 2025 Parent tasks (Run job and For each) now have a separate limit Separate limit doesn't count against overall limit, see Resource limits.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Jul 4, 2025
Jobs in continuous mode can now have task-level retries for failed tasks Task-level retries replace job-level retries, require continuous mode.
ServiceNow connector GA Replaces manual API configuration, requires Lakeflow Connect setup.
Jobs & Pipelines list now includes Databricks SQL pipelines Includes materialized views and streaming tables created with Databricks SQL.
Moving tables between Spark Declarative Pipelines on Lakeflow pipelines is now GA Supports moving tables in Unity Catalog ETL pipelines.
Parent tasks (Run job and For each) now have a separate limit Separate limit doesn't count against overall limit, see Resource limits.
Headlines, dates and product areas are Databricks' own, and every item links to the note it
came from. The one-line summaries are ours.
Newer 161 to 165 of 165