Azure Databricks

Azure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a collaborative workspace for data engineers, data scientists, and analysts to work together on big data and machine learning workloads.

39 APIs 3 Capabilities 12 Features 61.7 / 100 strong

AnalyticsApache SparkBig DataData EngineeringMachine Learning

API Rating

61.7/ 100

strong

Scored 2026-05-20 · rubric v0.3

APIs

Azure Databricks REST API

Core REST API for managing Azure Databricks workspaces, clusters, jobs, notebooks, and other resources programmatically.

Clusters API

Manage Databricks clusters for running Spark jobs including creating, starting, editing, listing, terminating, and deleting clusters.

Jobs API

Create, manage, and run jobs on Databricks clusters including scheduling, listing runs, and managing job permissions.

Workspace API

Manage notebooks, folders, and other workspace objects including listing, importing, exporting, and deleting workspace items.

DBFS API

Access Databricks File System (DBFS) for file operations including uploading, downloading, listing, and deleting files and directories.

Libraries API

Manage libraries and dependencies on clusters including installing, uninstalling, and listing library statuses.

Secrets API

Manage secrets and secret scopes for secure credential storage including creating scopes, putting secrets, and managing ACLs.

Token Management API

Create and manage personal access tokens for API authentication including creating, listing, and revoking tokens.

SQL Analytics API

Manage SQL warehouses, queries, and dashboards for Databricks SQL analytics workloads.

MLflow API

Track experiments, log metrics, and manage ML models using the MLflow tracking and registry APIs.

Instance Pools API

Create and manage instance pools to reduce cluster start and autoscaling times by maintaining a set of idle ready-to-use cloud instances.

Cluster Policies API

Create, list, and edit cluster policies to control cluster configurations and limit the ability to configure clusters based on a set of rules.

Repos API

Manage Git repositories within Databricks workspaces for version control of notebooks and files.

Git Credentials API

Manage Git credentials for authenticating with Git providers when using Databricks Repos.

Pipelines API

Create, edit, delete, start, and view details about Delta Live Tables pipelines for building reliable data pipelines.

Permissions API

Manage permissions on workspace objects including clusters, jobs, notebooks, and other resources using access control lists.

Unity Catalog - Catalogs API

Manage Unity Catalog catalogs for organizing and governing data assets across workspaces.

Unity Catalog - Schemas API

Manage schemas within Unity Catalog catalogs for organizing tables, views, and functions.

Unity Catalog - Tables API

Manage tables within Unity Catalog schemas including listing, getting, and deleting tables.

Unity Catalog - Volumes API

Manage Unity Catalog volumes for governing non-tabular data such as files and directories.

Unity Catalog - Grants API

Manage permissions and grants on Unity Catalog objects including catalogs, schemas, tables, and other securable objects.

Unity Catalog - External Locations API

Manage external locations in Unity Catalog for connecting to cloud storage paths.

Unity Catalog - Storage Credentials API

Manage storage credentials in Unity Catalog for authenticating access to cloud storage.

Unity Catalog - Metastores API

Manage Unity Catalog metastores which serve as the top-level container for data governance.

Model Serving Endpoints API

Create and manage model serving endpoints for deploying machine learning models as REST API endpoints.

Model Registry API

Manage registered models and model versions in the Databricks Model Registry for model lifecycle management.

Registered Models API

Manage registered models in Unity Catalog for centralized model governance and sharing.

Global Init Scripts API

Manage global cluster initialization scripts that run on every cluster in the workspace.

IP Access Lists API

Manage IP access lists to control network access to Azure Databricks workspaces.

Statement Execution API

Execute SQL statements on SQL warehouses and retrieve results for programmatic SQL access.

Command Execution API

Execute commands on running clusters and retrieve results programmatically.

Files API

Manage files in Unity Catalog volumes and workspace filesystem with operations for uploading, downloading, and deleting files.

Apps API

Deploy and manage Databricks Apps including creating, starting, stopping, and listing custom applications.

Lakeview API

Manage Lakeview dashboards programmatically including creating, updating, and publishing dashboards.

Online Tables API

Manage online tables for low-latency serving of feature data in Unity Catalog.

Vector Search Indexes API

Manage vector search indexes for similarity search and retrieval-augmented generation workloads.

Vector Search Endpoints API

Manage vector search endpoints for hosting vector search indexes.

Query History API

Retrieve query history for SQL warehouses including query text, status, and performance metrics.

Account SCIM API

Manage users, groups, and service principals across the Databricks account using SCIM 2.0 protocol.

Capabilities

Run Capabilities with Naftiko — Deploy and orchestrate these API capabilities using Naftiko Fleet.

Run with Naftiko

Azure Databricks REST API — Clusters

Azure Databricks REST API — Clusters. 13 operations. Lead operation: Azure Databricks Create a New Cluster. Self-contained Naftiko capability covering one Azure Databricks busin...

Run with Naftiko

Azure Databricks REST API — Jobs

Azure Databricks REST API — Jobs. 13 operations. Lead operation: Azure Databricks Create a New Job. Self-contained Naftiko capability covering one Azure Databricks business surf...

Run with Naftiko

Azure Databricks REST API — Workspace

Azure Databricks REST API — Workspace. 6 operations. Lead operation: Azure Databricks Delete a Workspace Object. Self-contained Naftiko capability covering one Azure Databricks ...

Run with Naftiko

Run Capabilities with Naftiko — Deploy and orchestrate these API capabilities using Naftiko Fleet.

Run with Naftiko

Features

Collaborative notebooks with multi-language support

Auto-scaling Apache Spark clusters

Delta Lake for reliable data lakehouse architecture

Unity Catalog for unified data governance

MLflow integration for ML lifecycle management

Model serving endpoints for real-time inference

Delta Live Tables for declarative ETL pipelines

SQL analytics with serverless SQL warehouses

Vector search for RAG and similarity search

Lakeview dashboards for data visualization

Git integration for version control of notebooks

SCIM 2.0 for identity and access management

Use Cases

Building and managing data lakehouse architectures

Training and deploying machine learning models at scale

Running ETL pipelines for data transformation

Interactive data exploration and ad-hoc analytics

Real-time streaming analytics with Structured Streaming

Building retrieval-augmented generation (RAG) applications

Data governance and compliance with Unity Catalog

Collaborative data science with shared notebooks

Integrations

Azure Data Factory for orchestration

Azure Synapse Analytics for data warehousing

Azure Data Lake Storage for scalable storage

Azure Key Vault for secret management

Azure Active Directory for authentication

Power BI for business intelligence dashboards

Terraform for infrastructure as code

Apache Kafka for streaming data ingestion

Sources

name: Azure Databricks
description: Azure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a collaborative
  workspace for data engineers, data scientists, and analysts to work together on big data and machine learning workloads.
image: https://azure.microsoft.com/svghandler/databricks/
tags:
- Analytics
- Apache Spark
- Big Data
- Data Engineering
- Machine Learning
created: '2024-01-01'
modified: '2026-05-19'
url: https://raw.githubusercontent.com/api-evangelist/azure-databricks/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
- name: Azure Databricks REST API
  description: Core REST API for managing Azure Databricks workspaces, clusters, jobs, notebooks, and other resources programmatically.
  image: https://azure.microsoft.com/svghandler/databricks/
  humanURL: https://learn.microsoft.com/azure/databricks/
  baseURL: https://<databricks-instance>.azuredatabricks.net/api
  tags:
  - Clusters
  - Jobs
  - Notebooks
  - Workspace
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/
  - type: OpenAPI
    url: openapi/azure-databricks-openapi.yml
  - type: Authentication
    url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/authentication
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/introduction
  - type: JSONSchema
    url: json-schema/azure-databricks-cluster-schema.json
  - type: JSONLD
    url: json-ld/azure-databricks-context.jsonld
  - type: NaftikoCapability
    url: capabilities/azure-databricks-clusters.yaml
  - type: NaftikoCapability
    url: capabilities/azure-databricks-jobs.yaml
  - type: NaftikoCapability
    url: capabilities/azure-databricks-workspace.yaml
  contact:
  - type: Support
    url: https://learn.microsoft.com/answers/tags/166/azure-databricks
- name: Clusters API
  description: Manage Databricks clusters for running Spark jobs including creating, starting, editing, listing, terminating,
    and deleting clusters.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/clusters
  tags:
  - Clusters
  - Compute
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/clusters
  - type: OpenAPI
    url: openapi/azure-databricks-openapi.yml
  - type: JSONSchema
    url: json-schema/azure-databricks-cluster-schema.json
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/clusters
- name: Jobs API
  description: Create, manage, and run jobs on Databricks clusters including scheduling, listing runs, and managing job permissions.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.1/jobs
  tags:
  - Automation
  - Jobs
  - Scheduling
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/jobs
  - type: OpenAPI
    url: openapi/azure-databricks-openapi.yml
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/jobs
- name: Workspace API
  description: Manage notebooks, folders, and other workspace objects including listing, importing, exporting, and deleting
    workspace items.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/workspace
  tags:
  - Folders
  - Notebooks
  - Workspace
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/workspace
  - type: OpenAPI
    url: openapi/azure-databricks-openapi.yml
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/workspace
- name: DBFS API
  description: Access Databricks File System (DBFS) for file operations including uploading, downloading, listing, and deleting
    files and directories.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/dbfs
  tags:
  - Files
  - Storage
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/dbfs
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/dbfs
- name: Libraries API
  description: Manage libraries and dependencies on clusters including installing, uninstalling, and listing library statuses.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/libraries
  tags:
  - Dependencies
  - Libraries
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/libraries
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/libraries
- name: Secrets API
  description: Manage secrets and secret scopes for secure credential storage including creating scopes, putting secrets,
    and managing ACLs.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/secrets
  tags:
  - Credentials
  - Secrets
  - Security
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/secrets
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/secrets
- name: Token Management API
  description: Create and manage personal access tokens for API authentication including creating, listing, and revoking tokens.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/token
  tags:
  - Authentication
  - Security
  - Tokens
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/token-management
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/tokenmanagement
- name: SQL Analytics API
  description: Manage SQL warehouses, queries, and dashboards for Databricks SQL analytics workloads.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/sql
  tags:
  - Analytics
  - Queries
  - Sql
  - Warehouses
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/sql/api/
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/warehouses
- name: MLflow API
  description: Track experiments, log metrics, and manage ML models using the MLflow tracking and registry APIs.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/mlflow
  tags:
  - Experiments
  - Machine Learning
  - Mlops
  - Model Tracking
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/mlflow/
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/experiments
- name: Instance Pools API
  description: Create and manage instance pools to reduce cluster start and autoscaling times by maintaining a set of idle
    ready-to-use cloud instances.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/instance-pools
  tags:
  - Clusters
  - Compute
  - Instance Pools
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/compute/pool-index
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/instancepools
- name: Cluster Policies API
  description: Create, list, and edit cluster policies to control cluster configurations and limit the ability to configure
    clusters based on a set of rules.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/policies/clusters
  tags:
  - Clusters
  - Governance
  - Policies
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/admin/clusters/policy-definition
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/clusterpolicies
- name: Repos API
  description: Manage Git repositories within Databricks workspaces for version control of notebooks and files.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/repos
  tags:
  - Git
  - Repositories
  - Version Control
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/repos/
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/repos
- name: Git Credentials API
  description: Manage Git credentials for authenticating with Git providers when using Databricks Repos.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/git-credentials
  tags:
  - Authentication
  - Credentials
  - Git
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/gitcredentials
- name: Pipelines API
  description: Create, edit, delete, start, and view details about Delta Live Tables pipelines for building reliable data
    pipelines.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/pipelines
  tags:
  - Data Engineering
  - Delta Live Tables
  - ETL
  - Pipelines
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/ldp/
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/pipelines
- name: Permissions API
  description: Manage permissions on workspace objects including clusters, jobs, notebooks, and other resources using access
    control lists.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/permissions
  tags:
  - Access Control
  - Permissions
  - Security
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/security/auth/access-control/
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/permissions
- name: Unity Catalog - Catalogs API
  description: Manage Unity Catalog catalogs for organizing and governing data assets across workspaces.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.1/unity-catalog/catalogs
  tags:
  - Catalogs
  - Data Governance
  - Unity Catalog
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/data-governance/unity-catalog/
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/catalogs
- name: Unity Catalog - Schemas API
  description: Manage schemas within Unity Catalog catalogs for organizing tables, views, and functions.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.1/unity-catalog/schemas
  tags:
  - Data Governance
  - Schemas
  - Unity Catalog
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/schemas
- name: Unity Catalog - Tables API
  description: Manage tables within Unity Catalog schemas including listing, getting, and deleting tables.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.1/unity-catalog/tables
  tags:
  - Data Governance
  - Tables
  - Unity Catalog
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/tables
- name: Unity Catalog - Volumes API
  description: Manage Unity Catalog volumes for governing non-tabular data such as files and directories.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.1/unity-catalog/volumes
  tags:
  - Storage
  - Unity Catalog
  - Volumes
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/volumes
- name: Unity Catalog - Grants API
  description: Manage permissions and grants on Unity Catalog objects including catalogs, schemas, tables, and other securable
    objects.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.1/unity-catalog/permissions
  tags:
  - Data Governance
  - Permissions
  - Unity Catalog
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/grants
- name: Unity Catalog - External Locations API
  description: Manage external locations in Unity Catalog for connecting to cloud storage paths.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.1/unity-catalog/external-locations
  tags:
  - External Locations
  - Storage
  - Unity Catalog
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/externallocations
- name: Unity Catalog - Storage Credentials API
  description: Manage storage credentials in Unity Catalog for authenticating access to cloud storage.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.1/unity-catalog/storage-credentials
  tags:
  - Credentials
  - Security
  - Storage
  - Unity Catalog
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/storagecredentials
- name: Unity Catalog - Metastores API
  description: Manage Unity Catalog metastores which serve as the top-level container for data governance.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.1/unity-catalog/metastores
  tags:
  - Data Governance
  - Metastores
  - Unity Catalog
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/metastores
- name: Model Serving Endpoints API
  description: Create and manage model serving endpoints for deploying machine learning models as REST API endpoints.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/serving-endpoints
  tags:
  - Deployment
  - Inference
  - Machine Learning
  - Model Serving
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/machine-learning/model-serving/create-manage-serving-endpoints
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/servingendpoints
- name: Model Registry API
  description: Manage registered models and model versions in the Databricks Model Registry for model lifecycle management.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/mlflow/databricks
  tags:
  - Machine Learning
  - Mlops
  - Model Registry
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/modelregistry
- name: Registered Models API
  description: Manage registered models in Unity Catalog for centralized model governance and sharing.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.1/unity-catalog/models
  tags:
  - Machine Learning
  - Model Registry
  - Unity Catalog
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/registeredmodels
- name: Global Init Scripts API
  description: Manage global cluster initialization scripts that run on every cluster in the workspace.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/global-init-scripts
  tags:
  - Administration
  - Clusters
  - Initialization
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/globalinitscripts
- name: IP Access Lists API
  description: Manage IP access lists to control network access to Azure Databricks workspaces.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/ip-access-lists
  tags:
  - Access Control
  - Networking
  - Security
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/ipaccesslists
- name: Statement Execution API
  description: Execute SQL statements on SQL warehouses and retrieve results for programmatic SQL access.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/sql/statements
  tags:
  - Query Execution
  - Sql
  - Warehouses
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/statementexecution
- name: Command Execution API
  description: Execute commands on running clusters and retrieve results programmatically.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/1.2
  tags:
  - Clusters
  - Commands
  - Execution
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/commandexecution
- name: Files API
  description: Manage files in Unity Catalog volumes and workspace filesystem with operations for uploading, downloading,
    and deleting files.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/fs/files
  tags:
  - Files
  - Storage
  - Unity Catalog
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/files
- name: Apps API
  description: Deploy and manage Databricks Apps including creating, starting, stopping, and listing custom applications.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/apps
  tags:
  - Applications
  - Deployment
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/apps
- name: Lakeview API
  description: Manage Lakeview dashboards programmatically including creating, updating, and publishing dashboards.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/lakeview
  tags:
  - Dashboards
  - Lakeview
  - Visualization
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/lakeview
- name: Online Tables API
  description: Manage online tables for low-latency serving of feature data in Unity Catalog.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/online-tables
  tags:
  - Feature Serving
  - Machine Learning
  - Online Tables
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/onlinetables
- name: Vector Search Indexes API
  description: Manage vector search indexes for similarity search and retrieval-augmented generation workloads.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/vector-search/indexes
  tags:
  - AI
  - RAG
  - Similarity Search
  - Vector Search
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/vectorsearchindexes
- name: Vector Search Endpoints API
  description: Manage vector search endpoints for hosting vector search indexes.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/vector-search/endpoints
  tags:
  - AI
  - Endpoints
  - Vector Search
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/vectorsearchendpoints
- name: Query History API
  description: Retrieve query history for SQL warehouses including query text, status, and performance metrics.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/sql/history/queries
  tags:
  - Monitoring
  - Query History
  - Sql
  properties:
  - type: APIReference
    url: https://docs.databricks.com/api/azure/workspace/queryhistory
- name: Account SCIM API
  description: Manage users, groups, and service principals across the Databricks account using SCIM 2.0 protocol.
  baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/account/scim/v2
  tags:
  - Groups
  - Identity Management
  - SCIM
  - Users
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/azure/databricks/reference/scim-2-1
  - type: APIReference
    url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/scim/scim-groups
common:
- type: GettingStarted
  url: https://learn.microsoft.com/azure/databricks/getting-started/
- type: Pricing
  url: https://azure.microsoft.com/pricing/details/databricks/
- type: StatusPage
  url: https://status.azuredatabricks.net/
- type: Security
  url: https://learn.microsoft.com/azure/databricks/security/
- type: SDK
  url: https://learn.microsoft.com/azure/databricks/dev-tools/
- type: CLI
  url: https://learn.microsoft.com/azure/databricks/dev-tools/cli/
- type: Authentication
  url: https://learn.microsoft.com/azure/databricks/dev-tools/auth/
- type: APIReference
  url: https://learn.microsoft.com/azure/databricks/reference/api
- type: ReleaseNotes
  url: https://learn.microsoft.com/azure/databricks/release-notes/product/
- type: ChangeLog
  url: https://learn.microsoft.com/azure/databricks/release-notes/
- type: Support
  url: https://learn.microsoft.com/answers/tags/166/azure-databricks
- type: SDK
  url: https://learn.microsoft.com/azure/databricks/dev-tools/sdk-python
  title: Python SDK
- type: SDK
  url: https://learn.microsoft.com/azure/databricks/dev-tools/sdk-java
  title: Java SDK
- type: SDK
  url: https://learn.microsoft.com/azure/databricks/dev-tools/sdk-go
  title: Go SDK
- type: SDK
  url: https://learn.microsoft.com/azure/databricks/dev-tools/sdk-r
  title: R SDK
- type: GitHubRepository
  url: https://github.com/Azure/azure-databricks-client
- type: OpenAPI
  url: openapi/azure-databricks-openapi.yml
- type: JSONSchema
  url: json-schema/azure-databricks-cluster-schema.json
- type: JSONLD
  url: json-ld/azure-databricks-context.jsonld
- type: SpectralRules
  url: rules/azure-databricks-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/azure-databricks-vocabulary.yaml
- type: Features
  data:
  - Collaborative notebooks with multi-language support
  - Auto-scaling Apache Spark clusters
  - Delta Lake for reliable data lakehouse architecture
  - Unity Catalog for unified data governance
  - MLflow integration for ML lifecycle management
  - Model serving endpoints for real-time inference
  - Delta Live Tables for declarative ETL pipelines
  - SQL analytics with serverless SQL warehouses
  - Vector search for RAG and similarity search
  - Lakeview dashboards for data visualization
  - Git integration for version control of notebooks
  - SCIM 2.0 for identity and access management
- type: UseCases
  data:
  - Building and managing data lakehouse architectures
  - Training and deploying machine learning models at scale
  - Running ETL pipelines for data transformation
  - Interactive data exploration and ad-hoc analytics
  - Real-time streaming analytics with Structured Streaming
  - Building retrieval-augmented generation (RAG) applications
  - Data governance and compliance with Unity Catalog
  - Collaborative data science with shared notebooks
- type: Integrations
  data:
  - Azure Data Factory for orchestration
  - Azure Synapse Analytics for data warehousing
  - Azure Data Lake Storage for scalable storage
  - Azure Key Vault for secret management
  - Azure Active Directory for authentication
  - Power BI for business intelligence dashboards
  - Terraform for infrastructure as code
  - Apache Kafka for streaming data ingestion
maintainers:
- FN: Kin Lane
  email: [email protected]