Databricks CLI Usage: databricks [command] Databricks Workspace fs Filesystem related commands git-credentials Registers personal access token for Databricks to do operations on behalf of the user. repos The Repos API allows users to manage their git repos. secrets The Secrets API allows you to manage secrets, secret scopes, and access permissions. workspace The Workspace API allows you to list, import, export, and delete workspace objects such as notebooks, files, folders, and dashboards. Compute cluster-policies You can use cluster policies to control users' ability to configure clusters based on a set of rules. clusters The Clusters API allows you to create, start, edit, list, terminate, and delete clusters. global-init-scripts The Global Init Scripts API enables Workspace administrators to configure global initialization scripts for their workspace. instance-pools Instance Pools API are used to create, edit, delete and list instance pools by using ready-to-use cloud instances which reduces a cluster start and auto-scaling times. instance-profiles The Instance Profiles API allows admins to add, list, and remove instance profiles that users can launch clusters with. libraries The Libraries API allows you to install and uninstall libraries and get the status of libraries on a cluster. policy-compliance-for-clusters The policy compliance APIs allow you to view and manage the policy compliance status of clusters in your workspace. policy-families View available policy families. Sandbox sandbox *Beta* Create, manage, and control the lifecycle of sandboxes -- isolated, pre-configured, low-latency Serverless compute environments for running code. Lakeflow jobs The Jobs API allows you to create, edit, and delete jobs. pipelines The Lakeflow Spark Declarative Pipelines API allows you to create, edit, delete, start, and view details about pipelines. policy-compliance-for-jobs The compliance APIs allow you to view and manage the policy compliance status of jobs in your workspace. Machine Learning experiments Experiments are the primary unit of organization in MLflow; all MLflow runs belong to an experiment. feature-engineering Feature Engineering provides APIs for managing features and materialized features. model-registry Note: This API reference documents APIs for the Workspace Model Registry. Real-time Serving serving-endpoints The Serving Endpoints API allows you to create, update, and delete model serving endpoints. Apps apps Apps run directly on a customer's Databricks instance, integrate with their data, use and extend Databricks services, and enable users to interact through single sign-on. Vector Search vector-search-endpoints **Endpoint**: Represents the compute resources to host AI Search indexes. vector-search-indexes **Index**: An efficient representation of your embedding vectors that supports real-time and efficient approximate nearest neighbor (ANN) search queries. AI Search ai-search *Public Preview* **AI Search Endpoint**: Represents the compute resources to host AI Search indexes. Identity and Access Management current-user *Public Preview* This API allows retrieving information about currently authenticated user or service principal. groups Groups simplify identity management, making it easier to assign access to Databricks workspace, data, and other securable objects. groups-v2 *Public Preview* Groups simplify identity management, making it easier to assign access to Databricks workspace, data, and other securable objects. permissions Permissions API are used to create read, write, edit, update and manage access for various users on different objects and endpoints. service-principals Identities for use with jobs, automated tools, and systems such as scripts, apps, and CI/CD platforms. service-principals-v2 *Public Preview* Identities for use with jobs, automated tools, and systems such as scripts, apps, and CI/CD platforms. users User identities recognized by Databricks and represented by email addresses. users-v2 *Public Preview* User identities recognized by Databricks and represented by email addresses. workspace-iam-v2 These APIs are used to manage identities and the workspace access of these identities in Databricks. Databricks SQL alerts The alerts API can be used to perform CRUD operations on alerts. alerts-legacy *Public Preview* The alerts API can be used to perform CRUD operations on alerts. alerts-v2 New version of SQL Alerts. dashboards In general, there is little need to modify dashboards using the API. data-sources This API is provided to assist you in making new query objects. queries The queries API can be used to perform CRUD operations on queries. queries-legacy These endpoints are used for CRUD operations on query definitions. query-history A service responsible for storing and retrieving the list of queries run against SQL endpoints and serverless compute. warehouses A SQL warehouse is a compute resource that lets you run SQL commands on data objects within Databricks SQL. AI/BI genie Genie provides a no-code experience for business users, powered by AI/BI. lakeview These APIs provide specific management operations for Lakeview dashboards. lakeview-embedded Token-based Lakeview APIs for embedding dashboards in external applications. Unity Catalog ai-gateway Govern AI workloads in Unity Catalog. artifact-allowlists In Databricks Runtime 13.3 and above, you can add libraries and init scripts to the allowlist in UC so that users can use these artifacts on compute configured with shared access mode. catalogs A catalog is the first layer of Unity Catalog’s three-level namespace. connections A connection represents an external data source for use within Databricks. credentials A credential represents an authentication and authorization mechanism for accessing services on your cloud tenant. entity-tag-assignments Tags are attributes that include keys and optional values that you can use to organize and categorize entities in Unity Catalog. external-lineage *Public Preview* External Lineage APIs enable defining and managing lineage relationships between Databricks objects and external systems. external-locations An external location is an object that combines a cloud storage path with a storage credential that authorizes access to the cloud storage path. external-metadata *Public Preview* External Metadata objects enable customers to register and manage metadata about external systems within Unity Catalog. functions Functions implement User-Defined Functions (UDFs) in Unity Catalog. grants In Unity Catalog, data is secure by default. metastores A metastore is the top-level container of objects in Unity Catalog. model-versions Databricks provides a hosted version of MLflow Model Registry in Unity Catalog. online-tables *Public Preview* Online tables provide lower latency and higher QPS access to data from Delta tables. policies Attribute-Based Access Control (ABAC) provides high leverage governance for enforcing compliance policies in Unity Catalog. quality-monitors Deprecated: Please use the Data Quality Monitors API instead (REST: /api/data-quality/v1/monitors), which manages both Data Profiling and Anomaly Detection. registered-models Databricks provides a hosted version of MLflow Model Registry in Unity Catalog. resource-quotas Unity Catalog enforces resource quotas on all securable objects, which limits the number of resources that can be created. rfa *Public Preview* Request for Access enables users to request access for Unity Catalog securables. schemas A schema (also called a database) is the second layer of Unity Catalog’s three-level namespace. secrets-uc A secret is a Unity Catalog securable object that stores sensitive credential data (such as passwords, tokens, and keys) within a three-level namespace (**catalog_name.schema_name.secret_name**). storage-credentials A storage credential represents an authentication and authorization mechanism for accessing data stored on your cloud tenant. system-schemas *Public Preview* A system schema is a schema that lives within the system catalog. table-constraints Primary key and foreign key constraints encode relationships between fields in tables. tables A table resides in the third layer of Unity Catalog’s three-level namespace. temporary-path-credentials Temporary Path Credentials are short-lived, downscoped credentials used to access external cloud storage locations registered in Databricks. temporary-table-credentials Temporary Table Credentials are short-lived, downscoped credentials used to access cloud storage locations where table data is stored in Databricks. temporary-volume-credentials *Public Preview* Temporary Volume Credentials are short-lived, downscoped credentials used to access cloud storage locations where volume data is stored in Databricks. volumes Volumes are a Unity Catalog (UC) capability for accessing, storing, governing, organizing, and processing files. workspace-bindings A securable in Databricks can be configured as __OPEN__ or __ISOLATED__. Open Sharing providers A data provider is an object representing the organization in the real world who shares the data. recipient-activation The Recipient Activation API is only applicable in the open sharing model where the recipient object has the authentication type of TOKEN. recipient-federation-policies *Public Preview* The Recipient Federation Policies APIs are only applicable in the open sharing model where the recipient object has the authentication type of OIDC_RECIPIENT, enabling data sharing from Databricks to non-Databricks recipients. recipients A recipient is an object you create using :method:recipients/create to represent an organization which you want to allow access shares. shares A share is a container instantiated with :method:shares/create. Settings ip-access-lists IP Access List enables admins to configure IP access lists. notification-destinations The notification destinations API lets you programmatically manage a workspace's notification destinations. settings Workspace Settings API allows users to manage settings at the workspace level. token-management Enables administrators to get all tokens and delete tokens for other users. tokens The Token API allows you to create, list, and revoke tokens that can be used to authenticate and access Databricks REST APIs. workspace-conf This API allows updating known workspace settings for advanced users. workspace-settings-v2 APIs to manage workspace level settings. OAuth service-principal-secrets-proxy These APIs enable administrators to manage service principal secrets at the workspace level. Marketplace consumer-fulfillments Fulfillments are entities that allow consumers to preview installations. consumer-installations Installations are entities that allow consumers to interact with Databricks Marketplace listings. consumer-listings Listings are the core entities in the Marketplace. consumer-personalization-requests Personalization Requests allow customers to interact with the individualized Marketplace listing flow. consumer-providers Providers are the entities that publish listings to the Marketplace. provider-exchange-filters Marketplace exchanges filters curate which groups can access an exchange. provider-exchanges Marketplace exchanges allow providers to share their listings with a curated set of customers. provider-files Marketplace offers a set of file APIs for various purposes such as preview notebooks and provider icons. provider-listings Listings are the core entities in the Marketplace. provider-personalization-requests Personalization requests are an alternate to instantly available listings. provider-provider-analytics-dashboards Manage templated analytics solution for providers. provider-providers Providers are entities that manage assets in Marketplace. Clean Rooms clean-room-asset-revisions *Beta* Clean Room Asset Revisions denote new versions of uploaded assets (e.g. clean-room-assets Clean room assets are data and code objects — Tables, volumes, and notebooks that are shared with the clean room. clean-room-auto-approval-rules *Beta* Clean room auto-approval rules automatically create an approval on your behalf when an asset (e.g. clean-room-task-runs Clean room task runs are the executions of notebooks and JAR analyses in a clean room. clean-rooms A clean room uses Delta Sharing and serverless compute to provide a secure and privacy-protecting environment where multiple parties can work together on sensitive enterprise data without direct access to each other's data. Quality Monitor quality-monitor-v2 *Beta* Deprecated: Please use the Data Quality Monitoring API instead (REST: /api/data-quality/v1/monitors). Data Classification data-classification Manage data classification for Unity Catalog catalogs. Data Quality Monitoring data-quality Manage the data quality of Unity Catalog objects (currently support schema and table). Database Instances database *Public Preview* Database Instances provide access to a database via REST API or direct SQL. psql Connect to a Lakebase Postgres database Agent Bricks agent-kit *Beta* APIs for managing agent memory and durable session state. knowledge-assistants *Beta* Manage legacy Knowledge Assistants and related resources. supervisor-agents *Beta* Manage legacy Supervisor Agents and related resources. AI Functions ai-functions Transform and enrich data with AI on Databricks. Tags tag-policies The Tag Policy API allows you to manage policies for governed tags in Databricks. workspace-entity-tag-assignments Manage tag assignments on workspace-scoped objects. Postgres postgres Use the Postgres API to create and manage Lakebase Autoscaling Postgres infrastructure, including projects, branches, compute endpoints, and roles. Environments environments APIs to manage environment resources. Domains domains *Beta* Manage domains for organizing and discovering data assets. Developer Tools air *Public Preview* Run and manage AI Runtime training workloads bundle Declarative Automation Bundles let you express data/AI/analytics projects as code. sync Synchronize a local directory to a workspace directory Additional Commands: account Databricks Account Commands aitools Databricks skills and plugins for coding agents api Perform Databricks API call auth Authentication related commands cache Local cache related commands completion Generate the autocompletion script for the specified shell configure Configure authentication help Help about any command labs Manage Databricks Labs installations quickstart Print an introduction to the Databricks CLI version Retrieve information about the current version of this CLI Flags: --debug enable debug logging -h, --help help for databricks -o, --output type output type: text or json (default text) -p, --profile string ~/.databrickscfg profile -t, --target string bundle target to use (if applicable) -v, --version version for databricks Use "databricks [command] --help" for more information about a command.