Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Workspace base environments are now generally available Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces. | 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 24, 2026 |
| Databricks SQL version 2026.10 is rolling out in Current Replaces version 2026.09, requires no configuration changes. | 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 23, 2026 |
| Lakebase OpenTelemetry export (Beta) Exports Lakebase metrics and logs to OTLP-compatible backends like Grafana Cloud or Datadog. Configured from the Lakebase App. | On AWS, read it on their docs | Not on Azure | Not on GCP | Not on SAP | Apr 20, 2026 |
| Version 18.1 Supports DATETIMEOFFSET for Azure Synapse and adds schema evolution with INSERT statements. | 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 20, 2026 |
- Workspace base environments are now generally available
Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL version 2026.10 is rolling out in Current
Replaces version 2026.09, requires no configuration changes.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase OpenTelemetry export (Beta)
Exports Lakebase metrics and logs to OTLP-compatible backends like Grafana Cloud or Datadog. Configured from the Lakebase App.
- Version 18.1
Supports DATETIMEOFFSET for Azure Synapse and adds schema evolution with INSERT statements.
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, and every item links to the note it came from. The one-line summaries are ours.