# Azure Databricks

**Canonical:** https://apis.io/providers/microsoft-azure-databricks/  
**APIs profiled:** 1

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.

## Kin Score — 63.0 / 100 (strong)

Scored 2026-08-30 under rubric 0.17.2. Trend: flat (+3.6 from 59.4).

| Facet | Score |
|---|---|
| Discoverability | 66.7 |
| Contract Quality | 68.7 |
| Governance | 69.7 |
| Contract Governance | 69.7 |
| Operational Transparency | 55.3 |
| Developer Ergonomics | 76.2 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## Agent readiness — 35.2 (agent-ready)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | documented |
| MCP Server | no |
| Auth Clarity | bearer |
| Idempotency | verified |
| Error Semantics | no |
| OpenAPI Examples | verified |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | documented |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |

## APIs (38)

- **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.
- **Azure Databricks Clusters API** — Manage Databricks clusters for running Apache Spark workloads. Create, start, restart, resize, terminate, and permanently delete clusters.
- **Azure Databricks Jobs API** — 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...
- **Azure Databricks Workspace API** — Manage workspace objects such as notebooks, folders, files, and repos. Import, export, list, and delete workspace objects.

## Agentic access (1)

- **Microsoft Azure Databricks Agentic Access** — 32 operations · 20 acting · 3 human-in-the-loop

## Security (3)

- **Azure Databricks Authentication** — http/oauth2 · 2 schemes
- **Azure Databricks Domain Security** — TLSv1.3 · HSTS · DMARC
- **Azure Databricks Vulnerability Disclosure** — security.txt · contact published

## Plans (2)

- **Azure Databricks Plans Pricing**
- **Microsoft Azure Databricks Plans Pricing**

## Use cases (8)

- **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**

## Tags

Analytics, Apache Spark, Big Data, Data Engineering, Machine-Learning

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/microsoft-azure-databricks/). Scores are computed from the provider's own public artifacts under a published rubric.