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 sdkdatadatabricksengineer ·
Databricks SDK Go v0.155.0: API updates and breaking change
Databricks SDK Go version 0.155.0 introduces an update to the bundle deployments resource with a new `UpdateTime` field. A significant breaking change requires the `Role` field to be mandatory for Postgres database specifications. These updates primarily affect Go developers using the Databricks SDK for managing Databricks resources.
breaking patch - Terraform Databricks Provider Releases terraforminfradatabricksgadeprecationengineer ·
Databricks Terraform Provider v1.121.0: Breaking Changes and New AI Features
Databricks Terraform provider version 1.121.0 introduces breaking changes to the `databricks_mws_ncc_private_endpoint_rule` resource, tightening read-only attributes and improving provisioning state visibility. It also adds new resources for AI Search and enhancements to cluster configurations. These changes primarily affect users managing Databricks infrastructure with Terraform, particularly those using the `mws_ncc_private_endpoint_rule` resource or looking to integrate with Databricks AI Search capabilities.
breaking patch - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Java v0.125.0 adds new fields and enum values
Databricks has released version 0.125.0 of its Java SDK, introducing new fields for job and repository settings. This update enhances flexibility for managing jobs and Git repositories within Databricks. The changes affect developers working with the Java SDK for Databricks automation. The update is available now.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Go v0.154.0 Adds New Fields and Enum Values
Databricks SDK for Go version 0.154.0 introduces several new fields to enhance job and repository management, including ParentPath for job creation and GitCredentialId for repository updates. Additionally, new enum values for workload types in the serving API provide more granular control over model deployment resources. These updates are available now for developers using the Go SDK to interact with Databricks.
patch - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Java v0.124.0: API updates and breaking changes
Databricks SDK for Java version 0.124.0 introduces several API additions and modifications, including new fields for ML service configurations and updated workspace client methods. However, it also removes several fields across different services, such as `firstDistinctN`, `lastDistinctN`, `includeBrowse`, `browseOnly`, `externalSecretId`, and `groupName`, which may require consumers to update their existing code. This release focuses on enhancing existing functionalities while also incorporating breaking changes that necessitate careful review by developers using the Java SDK.
breaking patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Go v0.153.0 Adds Features, Includes Breaking Changes
Databricks SDK for Go version 0.153.0 introduces numerous new fields across various services, enhancing capabilities for catalog management, data classification, job scheduling, and ML operations. This release also includes several breaking changes, primarily involving the removal of fields related to secret browsing and user identification, which may require updates for consumers relying on these specific fields. The updates affect developers interacting with the Databricks API via Go.
breaking patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Python v0.120.0 adds features, removes user name field
Databricks SDK for Python v0.120.0 introduces numerous new fields across various services, enhancing functionality for workspace Genie, catalog permissions, ML aggregations, and PostgreSQL endpoints. Notably, it adds a `download_message_attachment_visualization()` method for Genie and includes telemetry configuration for serving endpoints. A breaking change removes the `name` field from the `User` object in the IAMv2 service, requiring consumers to adapt.
breaking patch - 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.
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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.