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
- Terraform Databricks Provider Releases terraforminfradatabricksengineerdatabricks-unity-catalog ·
Databricks Terraform Provider v1.123.0: Improved Plan Validation, Delta Sharing, MLflow, and Bug Fixes
Databricks Terraform provider version 1.123.0 shifts workspace ID validation from plan to apply, resolving false-positive plan failures for certain configurations. It also introduces a data source for Delta Sharing recipients and enhances MLflow experiment tracing with Unity Catalog integration. Several bug fixes address issues with view column comments and access control rule set drift detection, impacting users managing Databricks resources via Terraform.
patch - Terraform Databricks Provider Releases terraforminfradatabricksengineer ·
Databricks Terraform Provider v1.122.0 adds Postgres CDF, fixes view column comments
Version 1.122.0 of the Databricks Terraform provider introduces new resources for managing PostgreSQL Change Data Feed (CDF) configurations and their statuses. This release also resolves a bug that prevented updates to column comments on views, a common issue for engineers managing SQL objects via Terraform. The fix ensures that column comment changes on views are applied correctly, preventing perpetual diffs for affected users.
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 - 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 - 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 - 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 - Terraform Databricks Provider Releases terraforminfradatabricksengineer ·
Databricks Terraform Provider v1.117.0: Fix External Location File Events
Databricks Terraform Provider version 1.117.0 fixes a bug in `databricks_external_location` where setting `enable_file_events` to `false` was ignored. This change ensures that when explicitly set to false, the provider now correctly sends this configuration to the Databricks API, preventing unexpected default behavior for file event monitoring. The fix targets users managing external locations via Terraform, ensuring their configuration for file events is respected.
patch - Terraform Databricks Provider Releases terraforminfragcpdatabricksgaengineer ·
Databricks Terraform Provider v1.116.0 Adds Agent Bricks Permissions, Principal IDs
Databricks Terraform Provider v1.116.0 introduces management of Git credentials for service principals and permissions for Agent Bricks resources. This release addresses several bugs, including issues with metastore updates, UC object destruction, library handling, and vector search index timeouts. These updates are relevant for engineers and architects managing Databricks infrastructure via Terraform.
patch - Terraform Databricks Provider Releases terraforminfradatabricksdeprecationengineer ·
Databricks Terraform Provider v1.115.0: Bug Fixes and Deprecations
This release of the Databricks Terraform provider addresses several critical bugs affecting various resources when used with account-level configurations. Specifically, issues with decoding state, resolving workspace IDs, and handling OAuth configurations are resolved, ensuring greater stability for users managing Databricks resources via Terraform. Additionally, the provider deprecates the `provider_config` field for account-level settings, signaling a move towards more streamlined configuration management. These fixes benefit users managing complex Databricks environments, particularly those leveraging account-level configurations or migrating to newer provider versions.
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 - 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 - 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.