Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Change to use_case field in VPC endpoint API responses Coming soon Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details. | On AWS, read it on their docs | Not on Azure | On GCP, read it on their docs | Unknown on SAP | Feb 24, 2026 |
| You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs Defined with YAML files, they support Python, Python wheel, and notebook tasks. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Unknown on SAP | Jan 20, 2026 |
| Manage Lakebase from the Lakebase App Replaces Compute tab navigation in Lakehouse UI, accessed via apps switcher. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Jan 15, 2026 |
| Connect to Lakebase from the SQL editor with read-write access Supports full read-write access, see documentation for setup. | On AWS, read it on their docs | Not on Azure | Not on GCP | Unknown on SAP | Dec 18, 2025 |
| Lakebase metrics dashboard Monitors system and database health with metrics like RAM and CPU usage. | On AWS, read it on their docs | Not on Azure | Not on GCP | Unknown on SAP | Dec 18, 2025 |
| Lakebase ACL support Grants CAN CREATE or CAN MANAGE permissions from project settings. | On AWS, read it on their docs | Not on Azure | Not on GCP | Unknown on SAP | Dec 17, 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 |
| 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 |
| 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 |
| 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 |
| 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 |
- Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs
Defined with YAML files, they support Python, Python wheel, and notebook tasks.
- Manage Lakebase from the Lakebase App
Replaces Compute tab navigation in Lakehouse UI, accessed via apps switcher.
- Connect to Lakebase from the SQL editor with read-write access
Supports full read-write access, see documentation for setup.
- Lakebase metrics dashboard
Monitors system and database health with metrics like RAM and CPU usage.
- Lakebase ACL support
Grants CAN CREATE or CAN MANAGE permissions from project settings.
- 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.
- 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.
- 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.
- Databricks Terraform provider supports Lakebase resources
Creates database catalogs, instances, and synced tables with infrastructure as code.
- 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.