Databricks

aid: databricks
url: https://raw.githubusercontent.com/api-evangelist/databricks/refs/heads/main/apis.yml
apis:
- aid: databricks:databricks
  name: Databricks
  tags:
  - Analytics
  - Data
  - Visualize
  humanURL: ' https://www.databricks.com'
  properties:
  - url: ' https://www.databricks.com'
    type: Documentation
  - url: https://docs.databricks.com/api/workspace/introduction
    type: APIReference
  - url: graphql/databricks-graphql.md
    type: GraphQL
  description: Databricks is a cloud-based data platform that simplifies and accelerates
    the process of preparing and analyzing large volumes of data. The platform integrates
    with popular data sources and tools, allowing data engineers and data scientists
    to collaborate and work more efficiently. Databricks offers powerful features
    such as data visualization, machine learning, and real-time analytics, helping
    organizations make data-driven decisions and improve their business outcomes.
- aid: databricks:clusters-api
  name: Databricks Clusters API
  tags:
  - Clusters
  - Compute
  - Infrastructure
  humanURL: https://docs.databricks.com/api/workspace/clusters
  properties:
  - url: https://docs.databricks.com/api/workspace/clusters
    type: Documentation
  - url: openapi/databricks-openapi.yml
    type: OpenAPI
  - url: json-schema/databricks-cluster-schema.json
    type: JSONSchema
  - url: json-schema/databricks-create-cluster-request-schema.json
    type: JSONSchema
  - url: json-schema/databricks-edit-cluster-request-schema.json
    type: JSONSchema
  - url: json-schema/databricks-cluster-details-schema.json
    type: JSONSchema
  - url: json-schema/databricks-spark-node-schema.json
    type: JSONSchema
  - url: json-schema/databricks-auto-scale-schema.json
    type: JSONSchema
  - url: json-schema/databricks-aws-attributes-schema.json
    type: JSONSchema
  - url: json-schema/databricks-azure-attributes-schema.json
    type: JSONSchema
  - url: json-schema/databricks-gcp-attributes-schema.json
    type: JSONSchema
  - url: json-schema/databricks-init-script-info-schema.json
    type: JSONSchema
  - url: json-schema/databricks-cluster-event-schema.json
    type: JSONSchema
  - url: json-schema/databricks-error-response-schema.json
    type: JSONSchema
  - url: json-ld/databricks-context.jsonld
    type: JSONLD
  description: The Databricks Clusters API allows you to create, start, edit, list,
    terminate, and delete clusters. Clusters are managed cloud resources that enable
    you to run data engineering and data science workloads on Apache Spark in the
    cloud. The API provides programmatic control over cluster lifecycle management,
    configuration, and monitoring.
- aid: databricks:jobs-api
  name: Databricks Jobs API
  tags:
  - Jobs
  - Orchestration
  - Scheduling
  - Workflows
  humanURL: https://docs.databricks.com/api/workspace/jobs
  properties:
  - url: https://docs.databricks.com/api/workspace/jobs
    type: Documentation
  - url: openapi/databricks-openapi.yml
    type: OpenAPI
  - url: json-schema/databricks-job-schema.json
    type: JSONSchema
  - url: json-schema/databricks-create-job-request-schema.json
    type: JSONSchema
  - url: json-schema/databricks-task-settings-schema.json
    type: JSONSchema
  - url: json-schema/databricks-job-cluster-schema.json
    type: JSONSchema
  - url: json-schema/databricks-job-email-notifications-schema.json
    type: JSONSchema
  - url: json-schema/databricks-webhook-notifications-schema.json
    type: JSONSchema
  - url: json-schema/databricks-cron-schedule-schema.json
    type: JSONSchema
  - url: json-schema/databricks-git-source-schema.json
    type: JSONSchema
  - url: json-schema/databricks-library-schema.json
    type: JSONSchema
  - url: json-schema/databricks-access-control-request-schema.json
    type: JSONSchema
  - url: json-schema/databricks-job-settings-schema.json
    type: JSONSchema
  - url: json-schema/databricks-run-schema.json
    type: JSONSchema
  - url: json-schema/databricks-run-task-schema.json
    type: JSONSchema
  - url: json-ld/databricks-context.jsonld
    type: JSONLD
  description: The Databricks Jobs API allows you to create, edit, delete, and trigger
    jobs. Jobs are the primary mechanism for running automated workloads on Databricks,
    including notebooks, JARs, Python scripts, and Spark submit applications. The
    API supports complex multi-task workflows with dependencies, scheduling, and monitoring
    capabilities.
- aid: databricks:dbfs-api
  name: Databricks DBFS API
  tags:
  - Data
  - Files
  - Storage
  humanURL: https://docs.databricks.com/api/workspace/dbfs
  properties:
  - url: https://docs.databricks.com/api/workspace/dbfs
    type: Documentation
  description: The Databricks File System (DBFS) API is a distributed file system
    mounted into a Databricks workspace and available on Databricks clusters. The
    API enables you to interact with object storage using directory and file semantics,
    allowing you to put, get, list, and delete files and directories programmatically.
- aid: databricks:workspace-api
  name: Databricks Workspace API
  tags:
  - Folders
  - Notebooks
  - Workspace
  humanURL: https://docs.databricks.com/api/workspace/workspace
  properties:
  - url: https://docs.databricks.com/api/workspace/workspace
    type: Documentation
  - url: openapi/databricks-openapi.yml
    type: OpenAPI
  - url: json-schema/databricks-workspace-object-schema.json
    type: JSONSchema
  - url: json-ld/databricks-context.jsonld
    type: JSONLD
  description: The Databricks Workspace API allows you to list, import, export, and
    delete notebooks, folders, and libraries in a Databricks workspace. It provides
    programmatic access to manage workspace objects, enabling automation of notebook
    deployment and workspace organization.
- aid: databricks:sql-warehouses-api
  name: Databricks SQL Warehouses API
  tags:
  - Analytics
  - SQL
  - Warehouses
  humanURL: https://docs.databricks.com/api/workspace/warehouses
  properties:
  - url: https://docs.databricks.com/api/workspace/warehouses
    type: Documentation
  description: The Databricks SQL Warehouses API allows you to create, edit, list,
    start, stop, and delete SQL warehouses. SQL warehouses are compute resources that
    enable you to run SQL commands on data objects within Databricks SQL, providing
    serverless or classic compute options for analytical workloads.
- aid: databricks:pipelines-api
  name: Databricks Pipelines API
  tags:
  - Delta Live Tables
  - ETL
  - Pipelines
  humanURL: https://docs.databricks.com/api/workspace/pipelines
  properties:
  - url: https://docs.databricks.com/api/workspace/pipelines
    type: Documentation
  description: The Databricks Pipelines API allows you to create, edit, delete, start,
    and stop Delta Live Tables pipelines. Delta Live Tables is a declarative framework
    for building reliable, maintainable, and testable data processing pipelines. The
    API provides full lifecycle management of ETL pipelines.
- aid: databricks:serving-endpoints-api
  name: Databricks Serving Endpoints API
  tags:
  - AI
  - Machine Learning
  - Model Serving
  humanURL: https://docs.databricks.com/api/workspace/servingendpoints
  properties:
  - url: https://docs.databricks.com/api/workspace/servingendpoints
    type: Documentation
  description: The Databricks Serving Endpoints API allows you to create, update,
    query, and delete model serving endpoints. Mosaic AI Model Serving provides a
    unified interface to deploy, govern, and query AI models, including custom models,
    generative AI models, and large language models, with high availability and low
    latency.
- aid: databricks:secrets-api
  name: Databricks Secrets API
  tags:
  - Credentials
  - Secrets
  - Security
  humanURL: https://docs.databricks.com/api/workspace/secrets
  properties:
  - url: https://docs.databricks.com/api/workspace/secrets
    type: Documentation
  description: The Databricks Secrets API allows you to manage secrets, secret scopes,
    and secret ACLs. Secrets provide a secure way to store and reference credentials
    and other sensitive information in notebooks and jobs without exposing them in
    plaintext.
- aid: databricks:instance-pools-api
  name: Databricks Instance Pools API
  tags:
  - Clusters
  - Compute
  - Infrastructure
  humanURL: https://docs.databricks.com/api/workspace/instancepools
  properties:
  - url: https://docs.databricks.com/api/workspace/instancepools
    type: Documentation
  description: The Databricks Instance Pools API allows you to create, edit, delete,
    and list instance pools. Instance pools reduce cluster start and auto-scaling
    times by maintaining a set of idle, ready-to-use cloud instances, improving performance
    and reducing costs for frequently used cluster configurations.
- aid: databricks:token-management-api
  name: Databricks Token Management API
  tags:
  - Authentication
  - Security
  - Tokens
  humanURL: https://docs.databricks.com/api/workspace/tokenmanagement
  properties:
  - url: https://docs.databricks.com/api/workspace/tokenmanagement
    type: Documentation
  description: The Databricks Token Management API enables workspace administrators
    to manage personal access tokens for users and service principals. It allows creating,
    listing, and revoking tokens, providing centralized control over API authentication
    credentials.
- aid: databricks:catalogs-api
  name: Databricks Catalogs API
  tags:
  - Data Governance
  - Metadata
  - Unity Catalog
  humanURL: https://docs.databricks.com/api/workspace/catalogs
  properties:
  - url: https://docs.databricks.com/api/workspace/catalogs
    type: Documentation
  description: The Databricks Catalogs API is part of Unity Catalog and allows you
    to create, update, list, and delete catalogs. Catalogs are the top-level container
    for data objects in Unity Catalog, providing a three-level namespace (catalog.schema.table)
    for organizing and governing data assets across workspaces.
- aid: databricks:vector-search-indexes-api
  name: Databricks Vector Search Indexes API
  tags:
  - AI
  - Embeddings
  - Vector Search
  humanURL: https://docs.databricks.com/api/workspace/vectorsearchindexes
  properties:
  - url: https://docs.databricks.com/api/workspace/vectorsearchindexes
    type: Documentation
  description: The Databricks Vector Search Indexes API allows you to create, manage,
    query, and delete vector search indexes. Vector Search enables you to store vector
    representations of your data and perform similarity searches, powering retrieval-augmented
    generation (RAG) applications and other AI use cases.
- aid: databricks:model-versions-api
  name: Databricks Model Versions API
  tags:
  - Machine Learning
  - MLflow
  - Model Registry
  humanURL: https://docs.databricks.com/api/workspace/modelversions
  properties:
  - url: https://docs.databricks.com/api/workspace/modelversions
    type: Documentation
  description: The Databricks Model Versions API allows you to manage model versions
    within the Unity Catalog model registry. It provides programmatic access to create,
    update, list, and delete model versions, enabling automated ML lifecycle management
    and model governance.
- aid: databricks:permissions-api
  name: Databricks Permissions API
  tags:
  - Access Control
  - Authorization
  - Security
  humanURL: https://docs.databricks.com/api/workspace/permissions
  properties:
  - url: https://docs.databricks.com/api/workspace/permissions
    type: Documentation
  description: The Databricks Permissions API allows you to manage permissions on
    workspace objects such as clusters, jobs, notebooks, and SQL warehouses. It provides
    programmatic access to get, set, and update access control lists for various Databricks
    resources, enabling fine-grained authorization management.
- aid: databricks:repos-api
  name: Databricks Repos API
  tags:
  - Git
  - Repositories
  - Version Control
  humanURL: https://docs.databricks.com/api/workspace/repos
  properties:
  - url: https://docs.databricks.com/api/workspace/repos
    type: Documentation
  description: The Databricks Repos API allows you to manage Git repositories within
    a Databricks workspace. It provides programmatic access to create, update, delete,
    and list repos, as well as perform Git operations like pulling latest changes,
    enabling version-controlled notebook and code development.
- aid: databricks:git-credentials-api
  name: Databricks Git Credentials API
  tags:
  - Authentication
  - Credentials
  - Git
  humanURL: https://docs.databricks.com/api/workspace/gitcredentials
  properties:
  - url: https://docs.databricks.com/api/workspace/gitcredentials
    type: Documentation
  description: The Databricks Git Credentials API allows you to manage Git credentials
    for authenticating with Git providers. It provides programmatic access to create,
    update, delete, and list stored Git credentials, enabling seamless integration
    with GitHub, GitLab, Bitbucket, and other Git hosting services.
- aid: databricks:cluster-policies-api
  name: Databricks Cluster Policies API
  tags:
  - Clusters
  - Governance
  - Policies
  humanURL: https://docs.databricks.com/api/workspace/clusterpolicies
  properties:
  - url: https://docs.databricks.com/api/workspace/clusterpolicies
    type: Documentation
  description: The Databricks Cluster Policies API allows administrators to create,
    edit, delete, and list cluster policies. Cluster policies limit the ability to
    configure clusters based on a set of rules, enabling administrators to enforce
    cost controls and governance over compute resources.
- aid: databricks:libraries-api
  name: Databricks Libraries API
  tags:
  - Clusters
  - Dependencies
  - Libraries
  humanURL: https://docs.databricks.com/api/workspace/libraries
  properties:
  - url: https://docs.databricks.com/api/workspace/libraries
    type: Documentation
  description: The Databricks Libraries API allows you to install, uninstall, and
    list libraries on clusters. It provides programmatic management of Python, Java,
    Scala, and R library dependencies for cluster workloads, enabling automated environment
    configuration.
- aid: databricks:global-init-scripts-api
  name: Databricks Global Init Scripts API
  tags:
  - Administration
  - Compute
  - Configuration
  humanURL: https://docs.databricks.com/api/workspace/globalinitscripts
  properties:
  - url: https://docs.databricks.com/api/workspace/globalinitscripts
    type: Documentation
  description: The Databricks Global Init Scripts API enables workspace administrators
    to manage global initialization scripts that run on every cluster in the workspace.
    It provides programmatic access to create, update, delete, list, and reorder init
    scripts for consistent cluster configuration.
- aid: databricks:command-execution-api
  name: Databricks Command Execution API
  tags:
  - Commands
  - Compute
  - Execution
  humanURL: https://docs.databricks.com/api/workspace/commandexecution
  properties:
  - url: https://docs.databricks.com/api/workspace/commandexecution
    type: Documentation
  description: The Databricks Command Execution API allows you to execute Python,
    Scala, SQL, or R commands on running Databricks clusters. It provides programmatic
    access to create execution contexts, run commands, check status, and retrieve
    results, enabling remote interactive cluster usage.
- aid: databricks:statement-execution-api
  name: Databricks Statement Execution API
  tags:
  - Queries
  - SQL
  - Warehouses
  humanURL: https://docs.databricks.com/api/workspace/statementexecution
  properties:
  - url: https://docs.databricks.com/api/workspace/statementexecution
    type: Documentation
  description: The Databricks Statement Execution API allows you to execute SQL statements
    on Databricks SQL warehouses and retrieve results. It provides a synchronous and
    asynchronous interface for running SQL queries, checking execution status, fetching
    result data, and canceling statements.
- aid: databricks:queries-api
  name: Databricks Queries API
  tags:
  - Analytics
  - Queries
  - SQL
  humanURL: https://docs.databricks.com/api/workspace/queries
  properties:
  - url: https://docs.databricks.com/api/workspace/queries
    type: Documentation
  description: The Databricks Queries API allows you to create, update, delete, list,
    and run saved SQL queries in Databricks SQL. It provides programmatic management
    of SQL query objects, enabling automation of analytical workflows and query lifecycle
    management.
- aid: databricks:alerts-api
  name: Databricks Alerts API
  tags:
  - Alerts
  - Monitoring
  - SQL
  humanURL: https://docs.databricks.com/api/workspace/alerts
  properties:
  - url: https://docs.databricks.com/api/workspace/alerts
    type: Documentation
  description: The Databricks Alerts API allows you to create, update, delete, and
    list alerts in Databricks SQL. Alerts automate query execution, evaluate custom
    conditions, and deliver notifications when those conditions are met, enabling
    proactive monitoring of business data.
- aid: databricks:schemas-api
  name: Databricks Schemas API
  tags:
  - Data Governance
  - Schemas
  - Unity Catalog
  humanURL: https://docs.databricks.com/api/workspace/schemas
  properties:
  - url: https://docs.databricks.com/api/workspace/schemas
    type: Documentation
  description: The Databricks Schemas API is part of Unity Catalog and allows you
    to create, update, list, and delete schemas. Schemas, also known as databases,
    reside within catalogs and contain tables, views, volumes, functions, and models,
    providing the second level of the three-level namespace for data organization.
- aid: databricks:tables-api
  name: Databricks Tables API
  tags:
  - Data Governance
  - Tables
  - Unity Catalog
  humanURL: https://docs.databricks.com/api/workspace/tables
  properties:
  - url: https://docs.databricks.com/api/workspace/tables
    type: Documentation
  description: The Databricks Tables API is part of Unity Catalog and allows you to
    create, update, list, and delete tables. Tables reside within schemas and represent
    structured data assets, supporting managed and external table types with full
    governance and access control through Unity Catalog.
- aid: databricks:volumes-api
  name: Databricks Volumes API
  tags:
  - Storage
  - Unity Catalog
  - Volumes
  humanURL: https://docs.databricks.com/api/workspace/volumes
  properties:
  - url: https://docs.databricks.com/api/workspace/volumes
    type: Documentation
  description: The Databricks Volumes API is part of Unity Catalog and allows you
    to create, update, list, and delete volumes. Volumes provide a governed location
    for storing and accessing non-tabular data files such as images, documents, and
    other unstructured data within the Unity Catalog namespace.
- aid: databricks:functions-api
  name: Databricks Functions API
  tags:
  - Functions
  - SQL
  - Unity Catalog
  humanURL: https://docs.databricks.com/api/workspace/functions
  properties:
  - url: https://docs.databricks.com/api/workspace/functions
    type: Documentation
  description: The Databricks Functions API is part of Unity Catalog and allows you
    to create, list, and delete user-defined functions. Functions reside within schemas
    and can be used in SQL queries and notebooks, with full governance and access
    control managed through Unity Catalog.
- aid: databricks:grants-api
  name: Databricks Grants API
  tags:
  - Access Control
  - Security
  - Unity Catalog
  humanURL: https://docs.databricks.com/api/workspace/grants
  properties:
  - url: https://docs.databricks.com/api/workspace/grants
    type: Documentation
  description: The Databricks Grants API is part of Unity Catalog and allows you to
    get, update, and manage permissions on Unity Catalog securable objects. It provides
    programmatic control over access to catalogs, schemas, tables, volumes, and other
    data assets, enabling fine-grained data governance.
- aid: databricks:external-locations-api
  name: Databricks External Locations API
  tags:
  - Cloud Storage
  - Storage
  - Unity Catalog
  humanURL: https://docs.databricks.com/api/workspace/externallocations
  properties:
  - url: https://docs.databricks.com/api/workspace/externallocations
    type: Documentation
  description: The Databricks External Locations API is part of Unity Catalog and
    allows you to create, update, list, and delete external locations. External locations
    combine a cloud storage path with a storage credential, enabling governed access
    to data stored in external cloud storage systems.
- aid: databricks:storage-credentials-api
  name: Databricks Storage Credentials API
  tags:
  - Cloud Storage
  - Security
  - Unity Catalog
  humanURL: https://docs.databricks.com/api/workspace/storagecredentials
  properties:
  - url: https://docs.databricks.com/api/workspace/storagecredentials
    type: Documentation
  description: The Databricks Storage Credentials API is part of Unity Catalog and
    allows you to create, update, list, and delete storage credentials. Storage credentials
    contain long-term cloud credentials that provide access to cloud storage, and
    are referenced when creating external locations for governing data access.
- aid: databricks:metastores-api
  name: Databricks Metastores API
  tags:
  - Data Governance
  - Metadata
  - Unity Catalog
  humanURL: https://docs.databricks.com/api/workspace/metastores
  properties:
  - url: https://docs.databricks.com/api/workspace/metastores
    type: Documentation
  description: The Databricks Metastores API is part of Unity Catalog and allows you
    to create, update, list, and delete metastores. A metastore is the top-level container
    of objects in Unity Catalog, providing centralized metadata management, access
    control, and data governance across workspaces.
- aid: databricks:connections-api
  name: Databricks Connections API
  tags:
  - Connections
  - External Data
  - Unity Catalog
  humanURL: https://docs.databricks.com/api/workspace/connections
  properties:
  - url: https://docs.databricks.com/api/workspace/connections
    type: Documentation
  description: The Databricks Connections API is part of Unity Catalog and allows
    you to create, update, list, and delete connections to external data sources.
    Connections enable federated queries across external databases and data systems,
    extending Unity Catalog governance to data outside the lakehouse.
- aid: databricks:registered-models-api
  name: Databricks Registered Models API
  tags:
  - Machine Learning
  - MLflow
  - Model Registry
  humanURL: https://docs.databricks.com/api/workspace/registeredmodels
  properties:
  - url: https://docs.databricks.com/api/workspace/registeredmodels
    type: Documentation
  description: The Databricks Registered Models API allows you to create, update,
    list, and delete registered models in the Unity Catalog model registry. It provides
    centralized model lifecycle management with versioning, aliasing, and governance
    capabilities for machine learning models.
- aid: databricks:experiments-api
  name: Databricks Experiments API
  tags:
  - Experiments
  - Machine Learning
  - MLflow
  humanURL: https://docs.databricks.com/api/workspace/experiments
  properties:
  - url: https://docs.databricks.com/api/workspace/experiments
    type: Documentation
  description: The Databricks Experiments API allows you to create, update, list,
    and manage MLflow experiments. Experiments are the primary unit of organization
    in MLflow, grouping runs that track parameters, metrics, and artifacts for machine
    learning model development and comparison.
- aid: databricks:online-tables-api
  name: Databricks Online Tables API
  tags:
  - Feature Serving
  - Real-Time
  - Tables
  humanURL: https://docs.databricks.com/api/workspace/onlinetables
  properties:
  - url: https://docs.databricks.com/api/workspace/onlinetables
    type: Documentation
  description: The Databricks Online Tables API allows you to create, get, and delete
    online tables. Online tables are materialized copies of Delta tables optimized
    for low-latency lookups, enabling real-time feature serving and online inference
    workloads for machine learning applications.
- aid: databricks:quality-monitors-api
  name: Databricks Quality Monitors API
  tags:
  - Data Quality
  - Monitoring
  - Observability
  humanURL: https://docs.databricks.com/api/workspace/qualitymonitors
  properties:
  - url: https://docs.databricks.com/api/workspace/qualitymonitors
    type: Documentation
  description: The Databricks Quality Monitors API allows you to create, update, get,
    and delete data quality monitors for tables. Quality monitors enable automated
    data profiling and anomaly detection, providing continuous monitoring of data
    quality metrics and statistical properties.
- aid: databricks:vector-search-endpoints-api
  name: Databricks Vector Search Endpoints API
  tags:
  - AI
  - Compute
  - Vector Search
  humanURL: https://docs.databricks.com/api/workspace/vectorsearchendpoints
  properties:
  - url: https://docs.databricks.com/api/workspace/vectorsearchendpoints
    type: Documentation
  description: The Databricks Vector Search Endpoints API allows you to create, list,
    get, and delete vector search endpoints. Vector search endpoints are compute resources
    that host vector search indexes, enabling similarity search queries for retrieval-augmented
    generation and other AI applications.
- aid: databricks:shares-api
  name: Databricks Shares API
  tags:
  - Collaboration
  - Data Sharing
  - Delta Sharing
  humanURL: https://docs.databricks.com/api/workspace/shares
  properties:
  - url: https://docs.databricks.com/api/workspace/shares
    type: Documentation
  description: The Databricks Shares API is part of Delta Sharing and allows you to
    create, update, list, and delete shares. A share is a read-only logical collection
    of tables and table partitions that a data provider wants to share with one or
    more recipients for secure cross-organization data sharing.
- aid: databricks:recipients-api
  name: Databricks Recipients API
  tags:
  - Access Control
  - Data Sharing
  - Delta Sharing
  humanURL: https://docs.databricks.com/api/workspace/recipients
  properties:
  - url: https://docs.databricks.com/api/workspace/recipients
    type: Documentation
  description: The Databricks Recipients API is part of Delta Sharing and allows you
    to create, update, list, and delete recipients. A recipient is an entity that
    receives shared data from a provider, and can be either a Databricks workspace
    or an open-protocol recipient using bearer tokens.
- aid: databricks:providers-api
  name: Databricks Providers API
  tags:
  - Data Sharing
  - Delta Sharing
  - Marketplace
  humanURL: https://docs.databricks.com/api/workspace/providers
  properties:
  - url: https://docs.databricks.com/api/workspace/providers
    type: Documentation
  description: The Databricks Providers API is part of Delta Sharing and allows you
    to create, update, list, and delete data providers. Providers represent organizations
    that share data through Delta Sharing, enabling secure and governed cross-organization
    data exchange.
- aid: databricks:clean-rooms-api
  name: Databricks Clean Rooms API
  tags:
  - Clean Rooms
  - Collaboration
  - Privacy
  humanURL: https://docs.databricks.com/api/workspace/cleanrooms
  properties:
  - url: https://docs.databricks.com/api/workspace/cleanrooms
    type: Documentation
  description: The Databricks Clean Rooms API allows you to create, update, list,
    and delete clean rooms. Clean rooms use Delta Sharing and serverless compute to
    provide a secure and privacy-protecting environment where multiple parties can
    collaborate on sensitive enterprise data without exposing raw data.
- aid: databricks:notification-destinations-api
  name: Databricks Notification Destinations API
  tags:
  - Alerts
  - Integration
  - Notifications
  humanURL: https://docs.databricks.com/api/workspace/notificationdestinations
  properties:
  - url: https://docs.databricks.com/api/workspace/notificationdestinations
    type: Documentation
  description: The Databricks Notification Destinations API allows you to create,
    update, list, and delete notification destinations for a workspace. Notification
    destinations define where alerts and notifications are sent, supporting integrations
    with email, Slack, PagerDuty, webhooks, and other channels.
- aid: databricks:apps-api
  name: Databricks Apps API
  tags:
  - Applications
  - Deployment
  - Development
  humanURL: https://docs.databricks.com/api/workspace/apps
  properties:
  - url: https://docs.databricks.com/api/workspace/apps
    type: Documentation
  description: The Databricks Apps API allows you to create, deploy, manage, and delete
    Databricks Apps. Apps run directly on a Databricks workspace, integrating with
    workspace data and services to build custom data applications, dashboards, and
    tools with built-in authentication and authorization.
- aid: databricks:lakeview-api
  name: Databricks Lakeview API
  tags:
  - Analytics
  - Dashboards
  - Visualization
  humanURL: https://docs.databricks.com/api/workspace/lakeview
  properties:
  - url: https://docs.databricks.com/api/workspace/lakeview
    type: Documentation
  description: The Databricks Lakeview API allows you to create, update, get, list,
    and delete AI/BI dashboards. Lakeview dashboards provide a modern visualization
    experience built on top of Databricks SQL, enabling interactive data exploration
    and business intelligence reporting.
- aid: databricks:files-api
  name: Databricks Files API
  tags:
  - Files
  - Storage
  - Unity Catalog
  humanURL: https://docs.databricks.com/api/workspace/files
  properties:
  - url: https://docs.databricks.com/api/workspace/files
    type: Documentation
  description: The Databricks Files API provides a standard HTTP interface for reading,
    writing, listing, and deleting files and directories in Unity Catalog volumes
    and other workspace storage locations. It supports direct file access by URI,
    enabling seamless file management for data and ML workloads.
- aid: databricks:tokens-api
  name: Databricks Tokens API
  tags:
  - Authentication
  - Security
  - Tokens
  humanURL: https://docs.databricks.com/api/workspace/tokens
  properties:
  - url: https://docs.databricks.com/api/workspace/tokens
    type: Documentation
  description: The Databricks Tokens API allows you to create, list, and revoke personal
    access tokens. Personal access tokens are used to authenticate with the Databricks
    REST API and integrations, providing an alternative to OAuth for programmatic
    access.
- aid: databricks:ip-access-lists-api
  name: Databricks IP Access Lists API
  tags:
  - Access Control
  - Networking
  - Security
  humanURL: https://docs.databricks.com/api/workspace/ipaccesslists
  properties:
  - url: https://docs.databricks.com/api/workspace/ipaccesslists
    type: Documentation
  description: The Databricks IP Access Lists API allows administrators to configure
    IP allow lists and block lists for a workspace. It provides programmatic management
    of network security rules to restrict access to the workspace based on IP addresses
    or CIDR ranges.
- aid: databricks:current-user-api
  name: Databricks Current User API
  tags:
  - Authentication
  - Identity
  - Users
  humanURL: https://docs.databricks.com/api/workspace/currentuser
  properties:
  - url: https://docs.databricks.com/api/workspace/currentuser
    type: Documentation
  description: The Databricks Current User API allows you to retrieve information
    about the currently authenticated user or service principal. It returns identity
    details including username, display name, and group memberships for the caller
    making the API request.
- aid: databricks:groups-api
  name: Databricks Groups API
  tags:
  - Access Control
  - Groups
  - Identity
  humanURL: https://docs.databricks.com/api/workspace/groups
  properties:
  - url: https://docs.databricks.com/api/workspace/groups
    type: Documentation
  description: The Databricks Groups API allows you to create, update, list, and delete
    groups in a workspace. Groups simplify identity management by enabling administrators
    to assign access permissions to collections of users and service principals rather
    than managing them indi

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