Databricks CLI
Recent items mentioning Databricks CLI across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
Databricks CLI v1.11.0 deprecated the Terraform bundle deployment engine and introduced local directory packaging for AI runtime tasks 1, following earlier releases that made the direct deployment engine the default for new deployments 5. In ecosystem tools, the CLI now powers the installation of AI DevKit 2.0 agent skills 3, while recent Databricks VS Code extension updates bumped the bundled CLI to v1.9.0 and resolved custom host OAuth login redirects 25.
Generated daily from the 5 most recent items mentioning Databricks CLI. Click any [N] to jump to the source.
Release: v2.13.0 (#2089)
V2.13.0 adds AI tools support and enables Unity Catalog in Databricks Remote SSH mode. The extension can now start SSH tunnels directly, with the Databricks CLI updated to v1.11.0.
Release: v2.12.4 (#2065)
Fixed job run status failing to update when the CLI returns modern job-run URLs. Updated bundled Databricks CLI from v1.7.0 to v1.9.0.
NewsAI Dev Kit 2.0: Databricks AI Tools
AI DevKit 2.0 moves Databricks' agentic coding tools from standalone installation to the official Databricks Agent Skills repository, now installed via the Databricks CLI with improved features and consolidated skills. Users must uninstall the old AI DevKit version and reinstall from the new location, with the MCP server available as a separate optional component.
TutorialsHow to Go From an Agent Prompt to a Live Databricks App | Databricks Apps Demo
The Databricks Developer Hub provides copyable agent prompts that developers can paste into coding assistants like Cursor to automatically build, configure, and deploy Databricks applications. Developers can also use specialized template prompts from the hub to add advanced features to their apps, such as integrating a natural language chat interface for querying workspace data.
Release: v2.12.3 (#2012)
Fixed OAuth sign-in regression that was incorrectly redirecting users with custom workspace hosts to the public login page. Updated Databricks CLI to v1.7.0, which makes the direct deployment engine generally available and sets it as the default for new deployments.
Release: v2.11.1 (#1916)
v2.11.1 fixes Workspace file system operations for folder creation and file uploads, and resolves platform-specific Databricks CLI binary path detection. The release also clarifies Python environment activation messaging and corrects initialization of the WSFS and docs panels on extension startup.
Release: v2.11.0 (#1902)
The release introduces a Unity catalog explorer and workspace filesystem explorer for enhanced navigation of catalog resources and workspace files. It adds support for SPOG host URLs and updates Databricks CLI to version 1.2.0.
TutorialsSafe AI-Driven Development with Lakebase Branches
Databricks Lakebase branches enable instant, cost-efficient database branching using copy-on-write, allowing developers to test features in isolated environments without affecting production data. The video demonstrates creating and managing these branches via the Lakebase console and Databricks CLI, and shows how to integrate them into an agentic development workflow for safe AI-driven development.
The config-file loader now correctly sets the profile name to "DEFAULT" when using the legacy fallback, ensuring consistent profile identification for consumers. This fixes issues where per-profile identifiers, like OAuth cache keys, might not match between login and read flows.
NewsTerraform AWS Databricks Deployment Guide!
The video demonstrates how to deploy an AWS Databricks workspace using a provided Terraform script. It covers prerequisites, AWS and Databricks authentication, variable configuration, and executing the Terraform commands to create the workspace.
This release fixes an issue where the Databricks CLI `--profile` fallback was broken. It also introduces new API methods for `workspaceClient.supervisorAgents()` and `workspaceClient.vectorSearchEndpoints()`, along with several breaking changes related to `Example` and `Tool` fields, and `minQps` in Vector Search endpoints.
This release introduces new methods for managing supervisor agents and vector search endpoints, along with several new fields for connector options, ingestion sources, and customer-managed keys. Breaking changes include the removal of `min_qps` fields from vector search endpoint configurations and making `guidelines` and `description` fields optional in certain services.
Release: v2.10.7 (#1895)
Remote Development mode is now available in the extension for VS Code remote setups. Databricks Asset Bundles has been renamed to Declarative Automation Bundles and profile authentication issues have been fixed.
* Fixed Databricks CLI `--profile` fallback by detecting the CLI version at init time. The previous error-based detection was broken because `--profile` is a global Cobra flag silently accepted by old CLIs.
Unified host detection is now automatic, removing the `Experimental_IsUnifiedHost` field and enabling a single configuration profile for both account and workspace operations. The file-based OAuth token cache has been removed, defaulting to an in-memory cache unless a persistent cache is explicitly provided.
This release adds Azure MSI authentication support and improves `.databrickscfg` default profile resolution. It also fixes issues with non-JSON error responses and Databricks CLI token scope mismatches, alongside several API additions and two breaking changes.
Databricks CLI v0.297.2 fixes a critical "key expired" error that prevented `databricks bundle deploy` from downloading Terraform. This was resolved by using a hardcoded ArmoredPublicKey for Terraform binary installations.
Databricks CLI authentication now correctly errors on token scope mismatches, prompting re-authentication instead of silently using incorrect permissions. New `dataclassification` and `knowledgeassistants` services and corresponding workspace-level APIs have been added.
Release: v2.10.5 (#1834)
- Update Databricks CLI to v0.286.0
NewsDatabricks Breaking News: Week 2026 02: 5 January 2026 to 11 January 2026 #databricks news
Databricks now allows changing catalog and schema during dashboard deployments, addressing a previous issue with environment-specific configurations. The Databricks CLI has a breaking change with plan version 2, altering the structure of deployment plans.
Release: v2.10.4 (#1821)
- Update Databricks CLI to v0.280.0
Release: v2.10.3 (#1772)
This release updates the Databricks CLI to v0.266.0, which includes breaking changes. Databricks practitioners should review the CLI release notes for details on these changes.
Tutorials51 Setup Azure DevOps Pipeline with Databricks Asset Bundles (DABs) | Complete CICD Process
The video demonstrates how to set up an Azure DevOps pipeline to deploy Databricks Asset Bundles (DABs) to higher environments like QA. It covers configuring service principal permissions, setting up Azure pipeline variables for environment-specific details, and writing the YAML pipeline code to validate and deploy Databricks assets.
Tutorials50 Databricks Asset Bundles | Configure Production grade DABs | CICD using DABs (IAC)
The video demonstrates how to configure and deploy Databricks Asset Bundles (DABs) for managing Databricks assets like notebooks, jobs, and pipelines across different environments. It covers creating a structured DAB project, defining resources and targets in YAML, and deploying using both the Databricks UI and CLI, including setting up environment-specific configurations and variables.
Tutorials49 Databricks CLI | Install and Authenticate Databricks CLI | U2M and M2M Authentication
The video demonstrates how to install the Databricks CLI on Windows and authenticate it using both User-to-Machine (U2M) and Machine-to-Machine (M2M) methods. It then shows how to run various CLI commands to interact with Databricks workspaces and account consoles, such as listing catalogs, creating schemas, and managing groups.
Release: v2.10.2 (#1738)
- Update Databricks CLI to v0.259.0
Release: v2.10.1 (#1704)
This release updates the Databricks CLI to v0.253.0 and improves virtual environment management by using UV. It also adds support for complex variables in the UI and prevents `sys.exit` calls in Jupyter initialization scripts.
Release: v2.9.4 (#1670)
- Rollback Databricks CLI to v0.245.0 to fix auth problems
Release: v2.9.3 (#1665)
- Update Databricks CLI to v0.248.0
UCX v0.58.0 adds offline installation support for restricted-access environments and enables creation of account-level groups from nested workspace groups for improved governance. The release also enhances dashboard navigation with hyperlinks to table and cluster resources, and includes fixes for assessment exporters and improved error handling in the Workflow linter.