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 Java SDK Releases sdkdatabricks ·
Databricks SDK Java v0.123.0: API additions and breaking changes
Databricks SDK Java version 0.123.0 introduces several new API methods and fields across various services including policy compliance, Genie, bundles, and PostgreSQL. It also includes internal changes like a JDK 17 fallback script and some breaking changes, such as removing the 'name' field from the User object and making 'replicateWorkspaceAssets' no longer required. These updates affect developers using the Java SDK for Databricks interactions.
breaking patch - Terraform Databricks Provider Releases terraforminfradatabricksdeprecationengineer ·
Databricks Terraform Provider v1.120.0: New Postgres API resource, SDKv2 deprecation
Databricks Terraform Provider v1.120.0 introduces a new resource for the PostgreSQL Data API and deprecates older SDKv2 fallback implementations for several resources and data sources. This change affects users managing Databricks resources with Terraform, particularly those relying on the older SDKv2 fallbacks, who should transition to the default Plugin Framework implementations to avoid issues in future releases. The release also includes bug fixes for permissions drift and application authorization.
patch - Databricks Go SDK Releases sdkdatabricksengineer ·
Databricks SDK for Go v0.152.0: Breaking change in query parameter serialization
Databricks SDK for Go v0.152.0 introduces a breaking change where query parameters listed in `ForceSendFields` are now serialized with their explicit values, including zero values. This impacts callers that previously relied on these parameters being silently omitted. The release also includes several bug fixes, particularly around `ForceSendFields` honoring query parameters, and numerous API additions across services like disaster recovery, dashboards, Postgres, and serving endpoints.
breaking patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.151.0 API Change
The Databricks SDK for Go version 0.151.0 introduces a new `Spec` field to the `WorkspaceBaseEnvironment` type. This API change is relevant for developers using the Go SDK to interact with Databricks environments. The update provides additional configuration options for workspace environments.
patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Python v0.119.0 adds policy compliance and DR features
Databricks SDK Python version 0.119.0 introduces new features and API enhancements, including expanded policy compliance capabilities and disaster recovery support. These updates allow for more granular control over cluster enforcement and asset replication for disaster recovery scenarios. The release impacts developers using the Python SDK, particularly those working with workspace compute policies and disaster recovery configurations.
breaking patch - Terraform Databricks Provider Releases terraforminfradatabricksengineer ·
Databricks Terraform Provider v1.119.0 Updates Documentation and CI
Databricks Terraform Provider v1.119.0 updates documentation to clarify workspace binding applicability for catalog objects. It also introduces an internal change to improve CI by running unit tests offline using a pre-warmed Go module cache. This aims to resolve authentication issues for certain PRs and speed up the testing process. These changes primarily affect engineers and CI/CD practitioners working with the Databricks Terraform provider.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.150.0: API additions, policy compliance, and breaking change
Databricks SDK Go version 0.150.0 introduces new methods and fields for managing cluster policy compliance, enhancing disaster recovery capabilities, and fixing a user agent bug. It also includes a breaking change related to workspace asset replication. This release affects developers using the Go SDK for Databricks automation and management.
breaking patch - Databricks Go SDK Releases sdkaidatabricksengineer ·
Databricks SDK for Go v0.149.0 Adds AI Runtime Fields
Databricks SDK for Go version 0.149.0 introduces new fields related to AI Runtime tasks across various job and deployment structures. These additions aim to provide more granular visibility and control over AI workloads within Databricks jobs. The update is primarily for developers using the Go SDK to interact with Databricks services.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.148.0 Adds Meta-Harness Dimension and New Compute Size
The Databricks SDK for Go version 0.148.0 introduces a new user-agent dimension to report the meta-harness, providing better visibility into its usage. Additionally, it adds an 'Xlarge' compute size option for applications. These changes are available now for Go developers working with Databricks.
patch - Databricks Java SDK Releases sdkdatabricksengineer ·
Databricks SDK Java v0.122.0 Adds Meta-Harness User-Agent Dimension
Databricks SDK Java version 0.122.0 introduces a new `meta-harness` user-agent dimension to report the omnigent meta-harness. This enhancement allows for independent detection of the meta-harness via the OMNIGENT environment variable. Additionally, an `XLARGE` compute size enum value has been added to the SDK, impacting developers working with Databricks applications.
patch - Databricks Python SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Python v0.118.0 Adds Data API Methods
Databricks SDK for Python version 0.118.0 introduces new methods for managing the Data API for Postgres, enhancing programmatic control over data services. The release also adds several new fields to existing attributes, including `capacity_reservation_group` for Azure compute and `serverless_compute_id` for pipeline configurations, along with `endpoint_id` for vector indexes. These updates are primarily relevant to developers and engineers interacting with Databricks services via the Python SDK.
patch - Terraform Databricks Provider Releases terraformaiinfragcpdatabricksengineer ·
Databricks Terraform Provider v1.118.0: New AI Search resources, bug fixes
Databricks Terraform provider version 1.118.0 introduces new resources for AI Search endpoints and indexes, enhancing AI capabilities. This release also addresses several bugs, including issues with instance pools, entitlements, and workspace configurations on GCP, improving stability and reliability for users managing Databricks resources via Terraform. The update also includes documentation improvements for job tasks and rewrites exporter logging.
patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Go v0.147.0: Add ServerlessComputeId to Pipeline Specs
The Databricks SDK for Go version 0.147.0 introduces the `ServerlessComputeId` field to several pipeline-related structures, including `ClonePipelineRequest`, `CreatePipeline`, `EditPipeline`, and `PipelineSpec`. This enhancement allows users to specify serverless compute configurations when managing Databricks pipelines. The update is relevant for developers and architects working with Databricks pipelines and serverless compute capabilities.
patch - Databricks Java SDK Releases sdkinfradatabricks ·
Databricks SDK for Java v0.121.0 adds serverless compute option
The latest release of the Databricks SDK for Java, version 0.121.0, introduces the `serverlessComputeId` field to several pipeline-related requests and specifications. This enhancement allows users to specify serverless compute configurations when managing pipelines. The update is relevant for developers working with Databricks pipelines in Java, enabling more flexible deployment options.
patch - Databricks Java SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Java v0.120.0: API Additions and Breaking Change
Databricks SDK Java version 0.120.0 introduces new methods for managing Postgres data APIs and adds several fields to compute and database specifications. A significant breaking change modifies the `resourceId` field in the `Operation` class to be optional. These updates are relevant for developers using the Java SDK to interact with Databricks services, particularly those managing compute resources or database integrations.
breaking patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Go v0.146.0 Adds Postgres API Methods, Azure Compute Attribute
Databricks SDK Go version 0.146.0 introduces new methods for managing Postgres instances at the workspace level, including create, delete, get, and update operations. It also adds a `CapacityReservationGroup` field to Azure compute attributes. These enhancements aim to streamline cloud resource management for Databricks users working with Postgres and Azure infrastructure.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.145.0: Bug fixes and API enhancements
Databricks SDK Go version 0.145.0 includes bug fixes for tag policy routing and several API changes, including a breaking change to the `ResourceId` field in bundle deployments. These updates affect developers working with tags, bundle deployments, and data catalog connections. The release also introduces new fields for vector indexes and adds a new connection type.
breaking patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Python v0.117.0
Databricks SDK for Python version 0.117.0 introduces new fields for Synced Tables and makes a breaking change to the `resource_id` field in `Operation`. It also includes significant bug fixes for token caching and lazy initialization of `WorkspaceClient.dbutils` to improve performance and stability, particularly in Spark Connect environments. The release also declares `urllib3` as an explicit dependency.
breaking patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Go v0.144.0 Adds TypeOverrides
Databricks SDK Go version 0.144.0 introduces new TypeOverrides fields for database.SyncedTableSpec and postgres.SyncedTableSyncedTableSpec. This enhancement allows for more granular control over table type configurations within the SDK. The update is relevant for Go developers using the Databricks SDK for data management tasks.
patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Go v0.143.0 Adds Accelerated Sync Field
Databricks SDK Go version 0.143.0 introduces a new `AcceleratedSync` field to `database.SyncedTableSpec` and `postgres.SyncedTableSyncedTableSpec`. This enhancement aims to improve synchronization performance for tables. The update is available to all users of the Go SDK for Databricks.
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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.