Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Serverless compute is now available in Azure China North 3 Available for notebooks, jobs, pipelines, and SQL warehouses. | Not on AWS | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Dec 17, 2025 |
| Serverless workspaces are now available in new GCP regions Available in most GCP regions, see documentation for list. | Not on AWS | Not on Azure | On GCP, read it on their docs | Unknown on SAP | Dec 15, 2025 |
| Lakebase now in Public Preview Introduces autoscaling compute and database branching on AWS. Free until January 2026. | On AWS, read it on their docs | Not on Azure | Not on GCP | Unknown on SAP | Dec 12, 2025 |
| Serverless compute is now available in new regions Added to Australia Southeast, Canada Central, Mexico Central, Norway East, and South Africa North regions. | Not on AWS | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Nov 21, 2025 |
| List MCP servers in Azure Databricks Marketplace (Public Preview) Allows distribution of AI tools and connection to external data sources, requires provider listing. | Not on AWS | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Nov 6, 2025 |
| List MCP servers in Databricks Marketplace (Public Preview) Lets users install MCP servers to connect AI agents to external data sources. | On AWS, read it on their docs | Not on Azure | On GCP, read it on their docs | Unknown on SAP | Nov 6, 2025 |
| Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs | |||||
| Serverless notebook tasks can now use jobs environment Replaces inherited serverless environment with configurable job environment. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Unknown on SAP | Nov 5, 2025 |
| Lakebase (Beta) now available Adds autoscaling and database branching on AWS, separate from Public Preview. | On AWS, read it on their docs | Not on Azure | Not on GCP | Unknown on SAP | Oct 30, 2025 |
| Serverless compute has been updated to version 17.3 Updated from version 17.2, 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 | Unknown on SAP | Oct 28, 2025 |
| The billable usage table now records the performance mode of serverless jobs and pipelines Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Unknown on SAP | Oct 9, 2025 |
| OLTP Database tab renamed to Lakebase Postgres in Compute section Used to create and manage Lakebase database instances, replacing OLTP Database tab. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Aug 29, 2025 |
| Admins can now manage a workspace's serverless base environments (Public Preview) Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks. | 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 28, 2025 |
| Lakebase synced tables supports syncing Apache Iceberg and foreign tables in Snapshot mode Syncs Iceberg and foreign tables in Snapshot mode, requiring a supported Databricks runtime. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Aug 28, 2025 |
| Budget policy support for Lakebase database instances and synced tables (Public Preview) Tags database instances and synced tables for billing attribution, also supports custom tags for compute usage. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Aug 25, 2025 |
| Data type mapping update for Lakebase synced tables Newly created synced tables map TIMESTAMP to TIMESTAMP WITH TIMEZONE. Existing tables still use TIMESTAMP WITHOUT TIMEZONE. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Aug 25, 2025 |
| Declarative Automation Bundles support for Lakebase database resources Defines Lakebase database catalogs, instances, and synced tables for one-command deployment. Starts instances immediately upon bundle deployment. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Aug 21, 2025 |
| Lakebase Public Preview enabled by default No admin enablement required, can be disabled by admins. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Aug 11, 2025 |
| Databricks Terraform provider supports Lakebase resources Creates database catalogs, instances, and synced tables with infrastructure as code. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Jul 31, 2025 |
| Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest | |||||
| Synced tables are now metered and billed Metering is automatic, usage is tracked in system.billing.usage. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Jul 31, 2025 |
- Serverless compute is now available in Azure China North 3
Available for notebooks, jobs, pipelines, and SQL warehouses.
- Serverless workspaces are now available in new GCP regions
Available in most GCP regions, see documentation for list.
- Lakebase now in Public Preview
Introduces autoscaling compute and database branching on AWS. Free until January 2026.
- Serverless compute is now available in new regions
Added to Australia Southeast, Canada Central, Mexico Central, Norway East, and South Africa North regions.
- List MCP servers in Azure Databricks Marketplace (Public Preview)
Allows distribution of AI tools and connection to external data sources, requires provider listing.
- List MCP servers in Databricks Marketplace (Public Preview)
Lets users install MCP servers to connect AI agents to external data sources.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Serverless notebook tasks can now use jobs environment
Replaces inherited serverless environment with configurable job environment.
- Lakebase (Beta) now available
Adds autoscaling and database branching on AWS, separate from Public Preview.
- Serverless compute has been updated to version 17.3
Updated from version 17.2, requires no configuration changes.
- The billable usage table now records the performance mode of serverless jobs and pipelines
Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.
- OLTP Database tab renamed to Lakebase Postgres in Compute section
Used to create and manage Lakebase database instances, replacing OLTP Database tab.
- Admins can now manage a workspace's serverless base environments (Public Preview)
Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.
- Lakebase synced tables supports syncing Apache Iceberg and foreign tables in Snapshot mode
Syncs Iceberg and foreign tables in Snapshot mode, requiring a supported Databricks runtime.
- Budget policy support for Lakebase database instances and synced tables (Public Preview)
Tags database instances and synced tables for billing attribution, also supports custom tags for compute usage.
- Data type mapping update for Lakebase synced tables
Newly created synced tables map TIMESTAMP to TIMESTAMP WITH TIMEZONE. Existing tables still use TIMESTAMP WITHOUT TIMEZONE.
- Declarative Automation Bundles support for Lakebase database resources
Defines Lakebase database catalogs, instances, and synced tables for one-command deployment. Starts instances immediately upon bundle deployment.
- Lakebase Public Preview enabled by default
No admin enablement required, can be disabled by admins.
- Databricks Terraform provider supports Lakebase resources
Creates database catalogs, instances, and synced tables with infrastructure as code.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Synced tables are now metered and billed
Metering is automatic, usage is tracked in system.billing.usage.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.