Databricks Releases
Databricks blog and Terraform provider releases. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 181 Databricks releases · Updated
- Databricks Go SDK Releases sdkgovernancedatabricksdeprecation ·
Databricks SDK Go v0.129.0: New Services, API Additions, and Breaking Changes
Databricks SDK Go version 0.129.0 introduces new workspace-level services for supervisor agents and secrets, alongside numerous API additions across various modules. This release also includes several breaking changes, primarily affecting method paths for updating configurations related to data classification, environments, knowledge assistants, Postgres resources, and SQL warehouses. These updates impact developers using the Go SDK to interact with Databricks platform features.
breaking patch - Databricks Java SDK Releases sdkinfraazuredatabricksdeprecationengineer ·
Databricks SDK Java v0.104.0: New Auth, AI Agent Support, API Updates
Databricks SDK Java v0.104.0 introduces Azure Managed Service Identity (MSI) authentication and automatic detection of AI coding agents in user-agent strings. It enhances error handling for non-JSON responses and fixes token scope mismatches for Databricks CLI authentication. The release also includes numerous API additions and two breaking changes affecting the `com.databricks.sdk.service.postgres.SyncedTableSyncedTableSpec` and `com.databricks.sdk.service.settings.CustomerFacingIngressNetworkPolicyRequestDestination` configurations.
breaking patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Python v0.103.0: Drops Python 3.8/3.9, adds unified hosts
Databricks SDK for Python v0.103.0 drops support for Python 3.8 and 3.9, aligning with Databricks Runtime LTS 13.3, and requires users to upgrade their Python environment. It introduces unified host support, allowing a single configuration for account and workspace operations, and adds new APIs for managing catalogs, tables, and other services. The release also includes internal changes and API additions, impacting developers using Python 3.8 or 3.9.
breaking patch - Databricks Go SDK Releases sdkazuregcpdatabricksgadeprecationengineer ·
Databricks SDK for Go v0.127.0 Release
Databricks SDK for Go v0.127.0 introduces several new features, including host metadata customization and lazy iteration with limits. It also contains numerous bug fixes, particularly around token acquisition and caching for various credential providers. Breaking changes include raising the minimum Go version and removing a field from the Postgres SyncedTableSpec. These updates affect developers using the Go SDK for interacting with Databricks services.
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About Databricks release tracking on ReleaseBytes
Databricks platform releases, runtime versions and Terraform provider updates each have their own changelog. ReleaseBytes merges them into one feed with plain-English summaries, and its EOL tracker follows Databricks runtime support windows — including the Python and Spark versions each runtime pins.
Frequently asked questions
How often are Databricks release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official Databricks release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of Databricks changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
How can I get alerts for new Databricks releases? ›
Set up a free email or Slack alert filtered to Databricks, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
Where does the Databricks release data come from? ›
From the official sources: Databricks blog and Terraform provider releases. Every item links back to the original vendor announcement.