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 180 Databricks releases · Updated
- Databricks Python SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Python v0.108.0 Updates
Databricks SDK for Python v0.108.0 introduces new fields for job task configuration and adds new connection types for catalog integrations. It also includes a breaking change by removing an unspecified resource name field. This release impacts developers building and managing Databricks workloads using the Python SDK.
breaking patch - Databricks Java SDK Releases sdkdatabricksengineer ·
Databricks SDK Java v0.107.0: New APIs, Breaking Changes, and CLI Fixes
Databricks SDK Java v0.107.0 introduces new APIs for workspace management, vector search, and job configurations, alongside several breaking changes in field requirements and removals. It also fixes a critical bug in the Databricks CLI profile fallback mechanism and enhances token refresh behavior. These updates primarily affect developers using the Java SDK for Databricks automation and integration.
breaking patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Python v0.107.0 Enhances APIs and Fixes Auth
Databricks SDK for Python v0.107.0 introduces new API methods for supervisor agents and vector search endpoints, along with several new fields across various services like pipelines and settings. The release also includes a fix for the CLI's auth token command to ensure fresh tokens are used, addressing potential stale token issues. These changes are primarily for engineers and architects working with the Databricks platform.
breaking patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.132.0: New Features and Breaking Changes
Databricks SDK Go version 0.132.0 introduces several new fields and enum values across various services, including pipelines, catalog, and vector search, enhancing connector options and metadata capabilities. Notably, it includes breaking changes by removing MinQps fields from vector search endpoint creation and patching, and modifying Description fields in supervisor agents and tools to be non-required. These updates primarily affect developers using the Go SDK to interact with Databricks services, requiring attention for any code relying on the removed or changed fields.
breaking patch - Databricks Java SDK Releases sdkinfradatabricks ·
Databricks SDK Java v0.106.0: New Features and Breaking Changes
Databricks SDK Java version 0.106.0 introduces new packages for disaster recovery and temporary volume credentials, alongside several API additions and field updates across various services. Some changes are backward-incompatible, notably the removal of the `connection` field from the `Tool` class and making the `description` field optional for `SupervisorAgent`. These updates primarily affect developers using the Java SDK to interact with Databricks services.
breaking patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Python v0.106.0: New Features and Breaking Changes
Databricks SDK for Python version 0.106.0 introduces new workspace and account-level services, including temporary volume credentials, enhanced knowledge assistant capabilities, and disaster recovery features. It also adds numerous fields to existing services for data pipelines and Postgres management, alongside a breaking change in how connections and tools are handled in the supervisor agents service. This release affects developers using the Databricks SDK, particularly those interacting with workspace services or relying on the supervisor agents' connection fields.
breaking patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.131.0: New APIs and Breaking Changes
Databricks SDK Go version 0.131.0 introduces several new API methods and fields across workspace, account, and compute services, including disaster recovery and knowledge assistants. Notably, there are breaking changes to the supervisor agents connection field. These updates primarily affect developers and architects working with the Databricks API via Go, requiring adjustments for specific supervisor agent interactions.
breaking patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.130.0: Unified Host Support and API Additions
Databricks SDK Go version 0.130.0 introduces support for unified hosts, allowing a single configuration profile for account and workspace operations. This release also includes breaking changes, such as the removal of the experimental unified host detection field and the file-based OAuth token cache, which now defaults to an in-memory cache. Several new API endpoints and fields have been added, enhancing capabilities for managing volumes, knowledge assistants, apps, and pipeline connectors.
breaking patch - Databricks Java SDK Releases sdkinfraawsazuregcpdatabricksengineer ·
Databricks SDK Java v0.105.0: AI agent detection, breaking changes, new APIs
Databricks SDK Java v0.105.0 introduces automatic detection of AI coding agents in HTTP request headers, enhancing environment identification. It also includes breaking changes by removing the experimental unified host flag and several API method path updates. Several new APIs and fields have been added across services like secrets, supervisor agents, and postgres, with bug fixes for SPOG host compatibility.
breaking patch - Databricks Python SDK Releases sdkdatabricksengineer ·
Databricks SDK for Python v0.105.0 adds new APIs and breaking changes
Databricks SDK for Python version 0.105.0 introduces new packages and workspace-level services for supervisor agents and secrets, along with numerous field additions across various services. Several API methods have undergone breaking changes, including modifications to their paths, requiring users to update their code. These updates are primarily relevant to software engineers and architects developing integrations with Databricks.
breaking patch - 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.
breaking patch
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.