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 Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.159.0: New fields, one breaking change
The Databricks SDK Go version 0.159.0 introduces new fields for disaster recovery and pipeline configurations, enhancing data resilience and pipeline management. However, it also removes the `CodeSourcePath` field from `AiRuntimeTask` in the jobs service, which is a breaking change requiring user code updates. This release impacts developers using the Go SDK for Databricks integration.
breaking patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Go v0.158.0 adds cleanrooms and pipelines fields
Databricks SDK for Go version 0.158.0 introduces several new fields across its cleanrooms and pipelines services. These additions enhance configuration options for shared outputs in cleanrooms and custom report options for marketing data pipelines. The updates affect users working with these specific Databricks features via the Go SDK.
patch - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Java v0.129.0 Adds Clean Rooms & Ads Fields
The Databricks SDK for Java has been updated to version 0.129.0, introducing several new fields across its clean rooms and advertising integration modules. These enhancements allow for more granular control and configuration within Databricks Clean Rooms and provide expanded options for Google Ads, Meta Marketing, and TikTok Ads integrations. This update is relevant for Java developers working with Databricks for data collaboration and marketing analytics.
patch - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Java v0.128.0: CDF Configs and Breaking IAM Changes
Databricks SDK Java version 0.128.0 introduces new methods for managing Change Data Feed (CDF) configurations via the workspace client. It also adds a `parent` field to connection objects and a `MINUTES` enum for job triggers. Crucially, this release includes breaking changes to the `internalId` field type for IAM entities (Groups, Service Principals, Users), requiring Java SDK users to update their code to adapt to the String type.
breaking patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.157.0: New CDF methods, Parent field, and breaking ID changes
The Databricks SDK for Go version 0.157.0 introduces new methods for managing Change Data Feed (CDF) configurations for Postgres and adds a Parent field to catalog connection requests. It also includes breaking changes, modifying the `InternalId` field for IAM groups, service principals, and users to be a string type. These updates are relevant for developers using the Go SDK to interact with Databricks services, particularly those managing Postgres CDF or IAM entities.
breaking patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Go v0.156.0 Adds New Fields
The Databricks SDK for Go version 0.156.0 introduces several new fields across various services, including disaster recovery, jobs, and machine learning experiments. These additions provide more granular information for disaster recovery URLs, run details, and experiment tracking. Developers using the Go SDK for Databricks will benefit from these enhanced capabilities for managing their workloads.
patch - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Java v0.127.0 adds fields to disaster recovery, jobs, and ML services
Databricks SDK for Java version 0.127.0 introduces new fields across several service APIs, including disaster recovery, jobs, and machine learning capabilities. These additions provide more detailed information for tracking and managing deployments and experiments. This update is relevant for Java developers using the Databricks SDK to interact with these services.
patch - Databricks Java SDK Releases sdkdatabricksengineer ·
Databricks SDK Java v0.126.0: API changes and breaking update
Databricks SDK Java version 0.126.0 introduces new API fields and a breaking change requiring the `role` field for `DatabaseDatabaseSpec`. This update is relevant for Java developers using the Databricks SDK, particularly those interacting with bundle deployments or PostgreSQL database specifications.
breaking patch - 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 - 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 - 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 - 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.
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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.