Databricks releases, every cloud
- 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.
- Databricks Runtime 17.3 LTS is now GA
Replaces 7.3 LTS, requires Databricks account.
- Databricks Runtime maintenance updates (10/21)
Includes bug fixes, security patches, and performance improvements.
- New alert editing experience
Replaces old editor with a multi-tab editor for unified workflow.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Visualizations fix
Fixes legend selection for charts with aliased series names in SQL editor and notebooks.
- Databricks Runtime maintenance updates (10/07)
Includes bug fixes, security patches, and performance improvements.
- Databricks Runtime 17.3 LTS and Databricks Runtime 17.3 LTS ML are in Beta
Powered by Apache Spark 4.0.0, includes new configuration options.
- Semantic metadata in metric views
Requires YAML 1.1 and Databricks Runtime 17.3 or higher.
- Databricks SQL version 2025.30 is now available in Preview
Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.
- Databricks Runtime maintenance updates
Includes bug fixes, security patches, and performance improvements.
- Databricks Runtime 17.2 is now is now GA
Replaces 7.3 and earlier, requires new cluster creation.
- Databricks Runtime maintenance update
Includes bug fixes, security patches, and performance improvements.
- 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.
- Default warehouse setting is now available in Beta
Applied across SQL editor, AI/BI dashboards, and other tools, with optional user override.
- 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.
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- 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.
- Databricks SQL version 2025.25 is rolling out in Current
Rolls out from August 20th to August 28th, 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.
- Databricks SQL version 2025.25 is now available in Preview
Adds recursive common table expressions and spatial SQL expressions.
- Fixed timeout handling for materialized views and streaming tables
New views and tables apply warehouse timeout, existing ones require CREATE OR REFRESH. Default timeout is 2 days.
- New SQL editor is generally available
Provides a unified authoring environment with features like real-time collaboration and enhanced Databricks Assistant integration.
- Lakebase Public Preview enabled by default
No admin enablement required, can be disabled by admins.
- Databricks Runtime 17.1 is now is now GA
Replaces Databricks Runtime 7.3.
- Databricks Terraform provider supports Lakebase resources
Creates database catalogs, instances, and synced tables with infrastructure as code.
- Preset date ranges for parameters in the SQL editor
Includes options like This week, Last 30 days, and Last year for timestamp and date parameters.
- Synced tables are now metered and billed
Metering is automatic, usage is tracked in system.billing.usage.
- Jobs & Pipelines list now includes Databricks SQL pipelines
Includes materialized views and streaming tables created with Databricks SQL.
- Inline execution history in SQL editor
Shows past results without re-executing queries, links to past query profiles.
- Databricks SQL version 2025.20 is now available in Current
Rolls out in stages to the Current channel, see 2025.20 features for details.
- SQL editor updates
Supports date-range and multi-select parameters, and rearranges the run button and catalog picker to the header.
- Git support for alerts
Tracks alert changes, requires placing alerts in a Databricks Git folder. Newly cloned alerts are paused.
- Databricks SQL version 2025.20 is now available in Preview
Includes new features and behavioral changes in Preview channel.
- Databricks SQL Serverless engine upgrades
Upgrades bring up to 25% lower latency and add Predictive Query Execution and Photon vectorized shuffle.
- User interface updates
Emits listHistoryQueries and getHistoryQuery events on Query History page and query profile opens.
- Metric views are in Public Preview
Requires a SQL warehouse on the 2025.16 Preview channel. Abstracts complex business logic into a centralized definition.
- User interface updates
New queries are created in Drafts folder by default, moving out when saved or renamed.
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