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 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 - Terraform Databricks Provider Releases terraformdatabricksengineerdatabricks-unity-catalog ·
Databricks Terraform Provider Adds Resource Adoption and Drift Prevention
Version 1.114.2 of the Databricks Terraform provider enables adopting pre-existing PostgreSQL branch and endpoint resources with a new argument. This update also prevents Terraform drift for external locations by suppressing differences in server-populated fields. These changes benefit users managing Databricks infrastructure with Terraform, particularly those integrating with PostgreSQL or encountering configuration drift.
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 - Terraform Databricks Provider Releases terraforminfradatabricksengineer ·
Databricks Terraform Provider v1.114.1 Rolls Back to v1.113.0
Databricks Terraform Provider version 1.114.1 has been reverted to version 1.113.0 due to issues discovered in the latest release. This rollback ensures stability for users managing Databricks resources via Terraform. Users who have already upgraded to 1.114.1 should consider downgrading to 1.113.0.
patch - Terraform Databricks Provider Releases terraforminfradatabricksengineer ·
Databricks Terraform Provider v1.114.0 Adds Disaster Recovery and Supervisor Agent Resources
Version 1.114.0 of the Databricks Terraform provider introduces new resources for disaster recovery failover groups, stable URLs, and supervisor agents. It also enhances support for adopting pre-existing PostgreSQL branch and endpoint resources. These updates benefit Databricks users managing their infrastructure via Terraform, particularly those focused on resilience and agent-based automation.
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 Python SDK Releases sdkdatabrickspreviewengineer ·
Databricks SDK for Python v0.104.0: SPOG compatibility and agent detection
Databricks SDK for Python v0.104.0 includes bug fixes to improve compatibility with Single Plane of Glass (SPOG) hosts by adding necessary headers to workspace and shares operations. It also optimizes workspace ID retrieval, removing an API round trip and resolving an authentication failure on SPOG hosts. Additionally, the SDK expands its AI agent detection capabilities and refines how agent environment variables are processed, impacting developers using AI-assisted coding tools within the Databricks ecosystem.
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 Go SDK Releases sdkinfradatabrickspreviewengineer ·
Databricks SDK Go v0.128.0: Host metadata resolver and SPOG compatibility
Databricks SDK Go v0.128.0 introduces a default host metadata resolver for easier configuration and improves compatibility with SPOG hosts by adding the X-Databricks-Org-Id header to several workspace operations. These changes aim to simplify client setup and ensure smoother interactions in specific environments. This release is available now for developers using the Go SDK.
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 - Terraform Databricks Provider Releases terraforminfraawsazuregcpdatabricksengineer ·
Databricks Terraform Provider v1.113.0: New PostgreSQL resources, explicit cloud config
Version 1.113.0 of the Databricks Terraform provider introduces new resources for managing PostgreSQL catalogs and synced tables, alongside Databricks environments. It enhances configuration by allowing explicit cloud provider specification and control over account-level versus workspace-level API usage for dual resources. These updates benefit engineers and architects managing Databricks infrastructure via Terraform by improving flexibility and resolving import inconsistencies.
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.