Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Networking charges for performance-intensive products Charges apply to cross-region and public-internet egress for Lakebase, OpenSharing SecureConnect, Zerobus, and Files API. | Not on AWS | On Azure, read it on their docs | Not on GCP | On SAP, read it on their docs | Jul 22, 2026 |
| Lakehouse Replay (Beta) Automatically replays serverless workloads against upcoming runtime releases. Requires no setup. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Jun 10, 2026 |
| Spark Declarative Pipelines on Lakeflow updates are retained for 60 days Retention period increased from 30 to 60 days, applying to UI and REST API updates. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Apr 28, 2026 |
| SQL alert task for jobs (Beta) Evaluates SQL alerts as part of workflows, enabling automated condition checks and notifications. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Mar 19, 2026 |
- Networking charges for performance-intensive products
Charges apply to cross-region and public-internet egress for Lakebase, OpenSharing SecureConnect, Zerobus, and Files API.
- Lakehouse Replay (Beta)
Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Spark Declarative Pipelines on Lakeflow updates are retained for 60 days
Retention period increased from 30 to 60 days, applying to UI and REST API updates.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - SQL alert task for jobs (Beta)
Evaluates SQL alerts as part of workflows, enabling automated condition checks and notifications.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.