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.
Azure Databricks publishes 38 API contracts indexed on the APIs.io network, including Clusters API, Jobs API, Workspace API, and 35 more. Tagged areas include Analytics, Apache Spark, Big Data, Data Engineering, and Machine Learning.
The Azure Databricks catalog on APIs.io includes 1 JSON-LD context and 3 Spectral governance rulesets.
Azure Databricks’ developer surface includes authentication, getting-started guide, pricing, CLI, API reference, release notes, changelog, and 53 more developer resources.
Regulatory Posture applies to this provider. Its tags matched the
Horizontal (data, software, accessibility, platform) regime, so
Regulatory Posture carries 15 points of the composite.
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provider repo — the
applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero:
never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and
several others — scorable at all.
The six quality facets above are damped to 85 points between them,
because the conditional facet above carries the other
15. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 85% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
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Agent readiness — checks not met, largest first (exact, from this profile):
MCP Server+12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
A2A Agent Card+8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Stable Error Semantics+8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
The Kin Score Market layer reads a provider inside its market:
its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted:
not part of the Kin Score or agent readiness.
Registered MCP server and declares compatibility are report only — not weighted.
Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
Create and manage jobs to run notebooks, JARs, Spark submit, Python scripts, and pipeline tasks on Databricks clusters. Schedule recurring jobs, trigger runs, and monitor execut...
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.
deliveryModel:
model: open-core
license: MIT
open_source: true
commercial: true
callable_host: true
label: Open core · an OSS project plus a commercial hosted product
confidence: high
source:
- license
- openapi
- pricing
generated: '2026-08-28'
method: derived
accessModel:
pricing: freemium
onboarding: self-serve
trial: false
try_now: true
public: false
label: Freemium · Self-serve signup
confidence: medium
source:
- plans
- authentication
- security
generated: '2026-09-02'
method: derived
image: https://azure.microsoft.com/svghandler/databricks/
tags:
- Analytics
- Apache Spark
- Big Data
- Data Engineering
- Machine Learning
tags_raw:
- Analytics
- Apache Spark
- Big Data
- Data Engineering
- Machine Learning
- Machine-Learning
created: '2024-01-01'
modified: '2026-05-19'
url: https://learn.microsoft.com/azure/databricks/getting-started/
specificationVersion: '0.23'
apis:
- 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:
- File
- Storage
tags_raw:
- 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
- Library
tags_raw:
- 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
- Query
- SQL
- Warehouse
tags_raw:
- 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
tags_raw:
- Experiments
- Machine Learning
- Mlops
- Model Tracking
- Machine-Learning
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:
- Cluster
- Compute
- Instance Pools
tags_raw:
- 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:
- Cluster
- Governance
- Policies
tags_raw:
- 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:
- Version Control
- Repositories
tags_raw:
- 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
- Version Control
tags_raw:
- 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:
- Catalog
- Data Governance
- Unity Catalog
tags_raw:
- 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
- Schema
- Unity Catalog
tags_raw:
- 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
tags_raw:
- Deployment
- Inference
- Machine Learning
- Model Serving
- Machine-Learning
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
tags_raw:
- Machine Learning
- Mlops
- Model Registry
- Machine-Learning
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
tags_raw:
- Machine Learning
- Model Registry
- Unity Catalog
- Machine-Learning
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
- Cluster
- Initialization
tags_raw:
- 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
- Warehouse
tags_raw:
- 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:
- Cluster
- Commands
- Execution
tags_raw:
- 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:
- File
- Storage
- Unity Catalog
tags_raw:
- 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:
- Application
- Deployment
tags_raw:
- 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
tags_raw:
- Feature Serving
- Machine Learning
- Online Tables
- Machine-Learning
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:
- Artificial Intelligence
- RAG
- Similarity Search
- Vector Search
tags_raw:
- 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:
- Artificial Intelligence
- Vector Search
tags_raw:
- 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
tags_raw:
- 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:
- Group
- Identity and Access Management
- SCIM
- User
tags_raw:
- 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
- aid: microsoft-azure-databricks:microsoft-azure-databricks-clusters-api
name: Azure Databricks Clusters API
description: Manage Databricks clusters for running Apache Spark workloads. Create, start, restart, resize, terminate, and
permanently delete clusters.
humanURL: https://learn.microsoft.com/azure/databricks/
baseURL: https://<databricks-instance>.azuredatabricks.net/api
tags:
- Cluster
tags_raw:
- Clusters
properties:
- type: OpenAPI
url: openapi/microsoft-azure-databricks-clusters-api-openapi.yml
- type: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/
- 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: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/clusters
- type: APIReference
url: https://docs.databricks.com/api/azure/workspace/clusters
- type: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/jobs
- type: APIReference
url: https://docs.databricks.com/api/azure/workspace/jobs
- type: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/workspace
- type: APIReference
url: https://docs.databricks.com/api/azure/workspace/workspace
- aid: microsoft-azure-databricks:microsoft-azure-databricks-jobs-api
name: Azure Databricks Jobs API
description: Create and manage jobs to run notebooks, JARs, Spark submit, Python scripts, and pipeline tasks on Databricks
clusters. Schedule recurring jobs, trigger runs, and monitor execution.
humanURL: https://learn.microsoft.com/azure/databricks/
baseURL: https://<databricks-instance>.azuredatabricks.net/api
tags:
- Job
tags_raw:
- Jobs
properties:
- type: OpenAPI
url: openapi/microsoft-azure-databricks-jobs-api-openapi.yml
- type: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/
- 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: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/clusters
- type: APIReference
url: https://docs.databricks.com/api/azure/workspace/clusters
- type: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/jobs
- type: APIReference
url: https://docs.databricks.com/api/azure/workspace/jobs
- type: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/workspace
- type: APIReference
url: https://docs.databricks.com/api/azure/workspace/workspace
- aid: microsoft-azure-databricks:microsoft-azure-databricks-workspace-api
name: Azure Databricks Workspace API
description: Manage workspace objects such as notebooks, folders, files, and repos. Import, export, list, and delete workspace
objects.
humanURL: https://learn.microsoft.com/azure/databricks/
baseURL: https://<databricks-instance>.azuredatabricks.net/api
tags:
- Workspace
properties:
- type: OpenAPI
url: openapi/microsoft-azure-databricks-workspace-api-openapi.yml
- type: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/
- 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: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/clusters
- type: APIReference
url: https://docs.databricks.com/api/azure/workspace/clusters
- type: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/jobs
- type: APIReference
url: https://docs.databricks.com/api/azure/workspace/jobs
- type: Documentation
url: https://learn.microsoft.com/azure/databricks/dev-tools/api/latest/workspace
- type: APIReference
url: https://docs.databricks.com/api/azure/workspace/workspace
common:
- type: Plans
url: plans/azure-databricks-plans-pricing.yml
- type: RateLimits
url: rate-limits/azure-databricks-rate-limits.yml
- type: FinOps
url: finops/azure-databricks-finops.yml
- type: CapabilityMap
url: capabilities/microsoft-azure-databricks-capability-edges.yml
name: Azure Databricks Business Capability Map
- type: Website
url: https://www.microsoft.com/
- type: IssueTracker
url: https://github.com/Azure/azure-databricks-client/issues
- type: Releases
url: https://github.com/Azure/azure-databricks-client/releases
- type: SecurityPolicy
url: https://github.com/Azure/azure-databricks-client/blob/master/SECURITY.md
- type: CodeOfConduct
url: https://github.com/Azure/.github/blob/main/CODE_OF_CONDUCT.md
- type: ContributionGuide
url: https://github.com/Azure/azure-databricks-client/blob/master/CONTRIBUTING.md
- type: License
name: MIT
url: https://github.com/Azure/azure-databricks-client/blob/master/LICENSE
- type: AgenticAccess
url: agentic-access/microsoft-azure-databricks-agentic-access.yml
- type: VulnerabilityDisclosure
url: security/azure-databricks-vulnerability-disclosure.yml
- type: DomainSecurity
url: security/azure-databricks-domain-security.yml
- type: Authentication
url: authentication/azure-databricks-authentication.yml
- type: OAuthScopes
url: scopes/microsoft-azure-databricks-scopes.yml
- type: PostmanWorkspace
url: https://www.postman.com/kinlaneapi/azure-databricks/overview
- type: Arazzo
url: arazzo/azure-databricks-backup-notebook-workflow.yml
name: Azure Databricks Back Up a Notebook by Export and Re-import
- type: Arazzo
url: arazzo/azure-databricks-cancel-active-run-workflow.yml
name: Azure Databricks Cancel an Active Job Run
- type: Arazzo
url: arazzo/azure-databricks-cleanup-latest-job-run-workflow.yml
name: Azure Databricks Clean Up the Latest Completed Job Run
- type: Arazzo
url: arazzo/azure-databricks-cluster-health-diagnostics-workflow.yml
name: Azure Databricks Cluster Health Diagnostics
- type: Arazzo
url: arazzo/azure-databricks-create-directory-and-import-notebook-workflow.yml
name: Azure Databricks Create a Directory and Import a Notebook
- type: Arazzo
url: arazzo/azure-databricks-create-job-and-run-workflow.yml
name: Azure Databricks Create a Job and Run It to Completion
- type: Arazzo
url: arazzo/azure-databricks-delete-workspace-directory-workflow.yml
name: Azure Databricks Safely Delete a Workspace Directory
- type: Arazzo
url: arazzo/azure-databricks-import-notebook-and-run-workflow.yml
name: Azure Databricks Import a Notebook and Run It
- type: Arazzo
url: arazzo/azure-databricks-pin-most-recent-cluster-workflow.yml
name: Azure Databricks Pin the First Listed Cluster
- type: Arazzo
url: arazzo/azure-databricks-preflight-create-cluster-workflow.yml
name: Azure Databricks Preflight and Create a Cluster
- type: Arazzo
url: arazzo/azure-databricks-provision-cluster-and-run-job-workflow.yml
name: Azure Databricks Provision a Cluster and Run a Job on It
- type: Arazzo
url: arazzo/azure-databricks-provision-cluster-workflow.yml
name: Azure Databricks Provision and Wait for Cluster
- type: Arazzo
url: arazzo/azure-databricks-reset-job-and-verify-workflow.yml
name: Azure Databricks Overwrite Job Settings and Verify
- type: Arazzo
url: arazzo/azure-databricks-resize-running-cluster-workflow.yml
name: Azure Databricks Resize a Running Cluster and Wait
- type: Arazzo
url: arazzo/azure-databricks-restart-cluster-and-wait-workflow.yml
name: Azure Databricks Restart a Running Cluster and Wait
- type: Arazzo
url: arazzo/azure-databricks-run-existing-job-and-wait-workflow.yml
name: Azure Databricks Run an Existing Job and Wait
- type: Arazzo
url: arazzo/azure-databricks-start-cluster-and-wait-workflow.yml
name: Azure Databricks Start a Terminated Cluster and Wait
- type: Arazzo
url: arazzo/azure-databricks-submit-one-time-run-workflow.yml
name: Azure Databricks Submit a One-time Run and Wait
- type: Arazzo
url: arazzo/azure-databricks-terminate-and-purge-cluster-workflow.yml
name: Azure Databricks Terminate and Permanently Delete a Cluster
- type: Arazzo
url: arazzo/azure-databricks-update-job-and-rerun-workflow.yml
name: Azure Databricks Update a Job and Re-run It
- 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: SDKs
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: SDKs
url: https://learn.microsoft.com/azure/databricks/dev-tools/sdk-python
title: Python SDK
- type: SDKs
url: https://learn.microsoft.com/azure/databricks/dev-tools/sdk-java
title: Java SDK
- type: SDKs
url: https://learn.microsoft.com/azure/databricks/dev-tools/sdk-go
title: Go SDK
- type: SDKs
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/_original/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
- type: LlmsText
url: https://docs.databricks.com/llms.txt
- url: https://www.databricks.com/feed
type: Blog
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
- url: https://www.databricks.com/feed
type: Blog
x-parent: microsoft-azure
x-relationship: product
Azure Databricks API — frequently asked questions
Does Azure Databricks have an API?
Yes. APIs.io lists 38 APIs from Azure Databricks, including DBFS API, Libraries API and Secrets API, and 35 more.
Is there an OpenAPI specification for the Azure Databricks API?
Yes. APIs.io indexes 3 OpenAPI specifications for Azure Databricks, each linked for download from this page.
How do I authenticate with the Azure Databricks API?
Azure Databricks uses bearer-token authentication (http/oauth2 · 2 schemes). The details are profiled on APIs.io as Azure Databricks Authentication.
How much does the Azure Databricks API cost?
APIs.io lists 9 pricing plans for Azure Databricks, with each plan's price, limits and inclusions under Pricing Plans on this page.
Is the Azure Databricks API ready for AI agents?
Azure Databricks has a Kin Score of 59.9 out of 100 (strong) and an Agent Readiness score of 31.9 (agent-ready), scored by API Evangelist on 2026-10-31.
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