Databricks releases, every cloud
- Databricks Runtime 18: February 19, 2026
Inferencing Excel string cells now respects cell type, updating from auto-casting to narrower types.
- Databricks Runtime maintenance updates (02/19)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.
- Databricks Runtime 18.1 and Databricks Runtime 18.1 ML are in Beta
Powered by Apache Spark 4.1.0.
- Lakebase now available on Azure (Beta)
Lakebase on Azure offers autoscaling compute and scale-to-zero. Supported regions include eastus2, westeurope, and westus.
- Databricks Runtime 18: January 27, 2026
Reports batchSize and file processing metrics, renames spark.sql.xml.legacyXMLParser.enabled config property.
- Databricks Runtime maintenance updates (01/27)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Lakebase is now generally available
Includes autoscaling and point-in-time recovery.
- Databricks Runtime 18: January 15, 2026
It uses JDK 21 as the default Java Development Kit, replacing JDK 17.
- Databricks Runtime 18.0 is now GA
Replaces Databricks Runtime 7.3.
- Manage Lakebase from the Lakebase App
Replaces Compute tab navigation in Lakehouse UI, accessed via apps switcher.
- Databricks Runtime maintenance updates (01/09)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
- 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.
- Lakebase now in Public Preview
Introduces autoscaling compute and database branching on AWS. Free until January 2026.
- Databricks Runtime 18.0 and Databricks Runtime 18.0 ML are in Beta
Powered by Apache Spark 4.1.0, includes JDK 21 as default.
- Databricks Runtime maintenance updates (12/09)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
- Databricks Runtime maintenance updates (11/18)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
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- Databricks Runtime maintenance updates (11/04)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
- Lakebase (Beta) now available
Adds autoscaling and database branching on AWS, separate from Public Preview.
- 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.
- 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.
- 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.
- 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 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.
- Synced tables are now metered and billed
Metering is automatic, usage is tracked in system.billing.usage.
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