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 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.
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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.