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Databricks

Collection of Databricks REST APIs for managing workspaces, clusters, jobs, and data operations.

agent native

Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.

Kin Score

API Evangelist profiles Databricks the way a machine reads it — 263 machine-readable artifacts across 57 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Databricks scores 75.0/100 (exemplar), with a separate agent-readiness read of 64/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 75.0/100 · exemplar
Contract Quality 16.6 / 25
Developer Ergonomics 15.7 / 20
Commercial Clarity 16.8 / 20
Operational Transparency 10.3 / 13
Governance 8.8 / 12
Discoverability 6.8 / 10
Agent readiness — 64/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Databricks

Each block below is one kind of artifact we hold for Databricks. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 57

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Databricks

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...

Databricks DBFS API

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...

Databricks SQL Warehouses API

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 comma...

Databricks Pipelines API

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,...

Databricks Serving Endpoints API

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, gov...

Databricks Secrets API

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 info...

Databricks Instance Pools API

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...

Databricks Token Management API

The Databricks Token Management API enables workspace administrators to manage personal access tokens for users and service principals. It allows creating, listing, and revoking...

Databricks Catalogs API

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 ...

Databricks Vector Search Indexes API

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...

Databricks Model Versions API

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 delet...

Databricks Permissions API

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 ge...

Databricks Repos API

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 ...

Databricks Git Credentials API

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 lis...

Databricks Cluster Policies API

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...

Databricks Libraries API

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 dependen...

Databricks Global Init Scripts API

The Databricks Global Init Scripts API enables workspace administrators to manage global initialization scripts that run on every cluster in the workspace. It provides programma...

Databricks Command Execution API

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 ...

Databricks Statement Execution API

The Databricks Statement Execution API allows you to execute SQL statements on Databricks SQL warehouses and retrieve results. It provides a synchronous and asynchronous interfa...

Databricks Queries API

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, ena...

Databricks Alerts API

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 notif...

Databricks Schemas API

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 cont...

Databricks Tables API

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, ...

Databricks Volumes API

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...

Databricks Functions API

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 q...

Databricks Grants API

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 ove...

Databricks External Locations API

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 ...

Databricks Storage Credentials API

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 clo...

Databricks Metastores API

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 ...

Databricks Connections API

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 que...

Databricks Registered Models API

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 lifecycl...

Databricks Experiments API

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 ...

Databricks Online Tables API

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, en...

Databricks Quality Monitors API

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 ...

Databricks Vector Search Endpoints API

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 se...

Databricks Shares API

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 parti...

Databricks Recipients API

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 p...

Databricks Providers API

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 throug...

Databricks Clean Rooms API

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-p...

Databricks Notification Destinations API

The Databricks Notification Destinations API allows you to create, update, list, and delete notification destinations for a workspace. Notification destinations define where ale...

Databricks Apps API

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 servic...

Databricks Lakeview API

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 D...

Databricks Files API

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 storag...

Databricks Tokens API

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 integra...

Databricks IP Access Lists API

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 rul...

Databricks Current User API

The Databricks Current User API allows you to retrieve information about the currently authenticated user or service principal. It returns identity details including username, d...

Databricks Groups API

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 p...

Databricks Service Principals API

The Databricks Service Principals API allows you to create, update, list, and delete service principals in a workspace. Service principals are identities for automated tools, jo...

Databricks Users API

The Databricks Users API allows you to create, update, list, and delete users in a workspace. It provides programmatic management of user identities and their workspace access, ...

Databricks Dashboards API

The Databricks Dashboards API allows you to create, update, list, and delete legacy SQL dashboards. Dashboards provide visual representations of query results, enabling business...

Databricks Model Registry API

The Databricks Model Registry API provides the workspace model registry for managing the full lifecycle of ML models. It enables creating registered models, managing model versi...

Databricks Workspace Bindings API

The Databricks Workspace Bindings API allows you to manage the binding of Unity Catalog securables to specific workspaces. It enables configuring whether catalogs and other obje...

Databricks System Schemas API

The Databricks System Schemas API allows you to enable, disable, and list system schemas within a metastore. System schemas contain system tables that provide operational data a...

Databricks Table Constraints API

The Databricks Table Constraints API allows you to create and delete primary key and foreign key constraints on Unity Catalog tables. Table constraints define relationships betw...

Databricks Clusters API

Manage Databricks clusters for running data engineering and data science workloads on Apache Spark.

Databricks Jobs API

Create and manage automated workloads including notebooks, JARs, Python scripts, and multi-task workflows.

Databricks Workspace API

Manage workspace objects such as notebooks, folders, and libraries.

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Postman Collections 1

A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.

Ready-to-run Postman collections for exercising this provider's APIs.

Open Collections 1

Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Databricks REST API

OPEN COLLECTION

Arazzo Workflows 23

Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.

Multi-step API workflows described with the Arazzo specification.

Databricks Audit Cluster Lifecycle Events

Resolve a cluster's current state, then pull its recent lifecycle events.

ARAZZO

Databricks Cancel a Job's Active Run

Find a job's active run and cancel it, then confirm cancellation.

ARAZZO

Databricks Cancel Job Run and Confirm Terminal

Cancel an active run and poll until it reaches a terminal state.

ARAZZO

Databricks Inspect and Recursively Delete a Directory

List a workspace directory's contents, then recursively delete it.

ARAZZO

Databricks Clone a Job From an Existing One

Read an existing job's settings and create a new job that reuses them.

ARAZZO

Databricks Create Job and Trigger First Run

Create a new job from settings, then immediately trigger its first run.

ARAZZO

Databricks Drain Active Runs Then Delete Job

Cancel a job's active run if present, then delete the job and its runs.

ARAZZO

Databricks Edit Cluster Configuration and Verify

Read a cluster, apply edited configuration, and poll until RUNNING.

ARAZZO

Databricks Export a Notebook and Re-Import as a Copy

Export a notebook's content and re-import it to a new workspace path.

ARAZZO

Databricks Find Terminated Cluster by Name and Start It

Resolve a cluster by name from the list, then start it if terminated.

ARAZZO

Databricks Find Job by Name and Run It

Look up a job by exact name, then trigger an immediate run of it.

ARAZZO

Databricks Create Directory and Import Notebook

Create a workspace directory, import a notebook into it, then verify status.

ARAZZO

Databricks Fetch Latest Completed Run Output for a Job

Find a job's most recent completed run and retrieve its output.

ARAZZO

Databricks Provision Cluster Then Create Job On It

Create a cluster, wait until RUNNING, then create a job bound to that cluster.

ARAZZO

Databricks Provision Cluster and Wait Until Running

Create a Spark cluster and poll its state until it reaches RUNNING.

ARAZZO

Databricks Restart Cluster and Verify Running

Restart a running cluster and poll until it returns to RUNNING.

ARAZZO

Databricks Run Job, Wait, Then Export the Notebook

Trigger a job run, wait for it to finish, then export the source notebook.

ARAZZO

Databricks Trigger Job Run and Wait for Output

Trigger a job run, poll the run until terminal, then fetch its output.

ARAZZO

Databricks Run Job and Branch on Success or Failure

Run a job, wait for terminal state, then branch on the result state.

ARAZZO

Databricks Stage Notebook Then Create and Run a Job

Import a notebook, create a job that runs it, then trigger the first run.

ARAZZO

Databricks Start Cluster Then Run Job

Start a terminated cluster, wait until RUNNING, then trigger a job run.

ARAZZO

Databricks Terminate Then Permanently Delete Cluster

Terminate a cluster, confirm it is TERMINATED, then permanently delete it.

ARAZZO

Databricks Update Job Settings and Re-Run

Read a job, partially update its settings, then trigger a fresh run.

ARAZZO

Scroll within the panel for all 23 ·

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

MCP Server

Databricks managed MCP servers for Unity Catalog functions, Genie spaces, Databricks SQL, and Vector Search, with Unity Catalog permissions always enforced.

MCP SERVER

Agent Skills 24

An agent skill packages the how-to for driving these APIs from an assistant — the prompts, the sequence, the guardrails — so the knowledge to use the API travels with it.

Packaged agent skills for driving this provider's APIs from an AI assistant.

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GraphQL 1

Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.

GraphQL schemas published by this provider.

Databricks GraphQL Schema

Databricks does not currently offer a native GraphQL API. Its public surface area is entirely REST-based, documented at [https://docs.databricks.com/api/workspace/introduction](...

GRAPHQL

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Databricks Rate Limits

4 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Features 16

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Jobs Compute: ~$0.07-$0.15/DBU (cheapest)
All-Purpose Compute: ~$0.55/DBU (interactive)
SQL Serverless: ~$0.70/DBU (infra included)
Serverless Jobs: $0.35-$0.40/DBU
Editions: Standard (Azure legacy), Premium (default), Enterprise (AWS)
Multi-cloud: AWS, Azure, GCP
REST API: 30 req/sec default, 10 req/sec for jobs/run-now
DBSQL Statement Execution API
Unity Catalog for governance
Delta Lake table format
Mosaic AI / MLflow for ML lifecycle
Genie / AI/BI for natural-language analytics
Workflows for orchestration
Lakeflow Connect for data ingestion
Model Serving for low-latency inference
Committed Use Contracts for volume discounts

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Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Databricks Context

0 classes · 0 properties

JSON-LD

Spectral Rules 2

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Databricks API Rules

5 rules · 4 warnings

SPECTRAL

Databricks API Rules

17 rules · 8 errors · 9 warnings

SPECTRAL

JSON Schema 48

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

AccessControlRequest

4 properties

JSON SCHEMA

AccessControlRequest

4 properties

JSON SCHEMA

AutoScale

2 properties

JSON SCHEMA

AutoScale

2 properties

JSON SCHEMA

AwsAttributes

8 properties

JSON SCHEMA

AwsAttributes

8 properties

JSON SCHEMA

AzureAttributes

3 properties

JSON SCHEMA

AzureAttributes

3 properties

JSON SCHEMA

ClusterDetails

32 properties

JSON SCHEMA

ClusterEvent

4 properties

JSON SCHEMA

Databricks Cluster

40 properties

JSON SCHEMA

ClusterDetails

34 properties

JSON SCHEMA

ClusterEvent

4 properties

JSON SCHEMA

CreateClusterRequest

18 properties

JSON SCHEMA

CreateJobRequest

14 properties

JSON SCHEMA

CreateClusterRequest

22 properties

JSON SCHEMA

CreateJobRequest

18 properties

JSON SCHEMA

CronSchedule

3 properties

JSON SCHEMA

CronSchedule

3 properties

JSON SCHEMA

EditClusterRequest

16 properties

JSON SCHEMA

EditClusterRequest

17 properties

JSON SCHEMA

ErrorResponse

2 properties

JSON SCHEMA

ErrorResponse

2 properties

JSON SCHEMA

GcpAttributes

3 properties

JSON SCHEMA

GcpAttributes

3 properties

JSON SCHEMA

GitSource

5 properties

JSON SCHEMA

GitSource

5 properties

JSON SCHEMA

InitScriptInfo

3 properties

JSON SCHEMA

InitScriptInfo

3 properties

JSON SCHEMA

JobCluster

1 properties

JSON SCHEMA

JobEmailNotifications

5 properties

JSON SCHEMA

Job

4 properties

JSON SCHEMA

JobSettings

11 properties

JSON SCHEMA

JobCluster

2 properties

JSON SCHEMA

JobEmailNotifications

5 properties

JSON SCHEMA

JobSettings

15 properties

JSON SCHEMA

Library

7 properties

JSON SCHEMA

Run

21 properties

JSON SCHEMA

RunTask

18 properties

JSON SCHEMA

RunTask

19 properties

JSON SCHEMA

SparkNode

6 properties

JSON SCHEMA

SparkNode

6 properties

JSON SCHEMA

TaskSettings

19 properties

JSON SCHEMA

TaskSettings

21 properties

JSON SCHEMA

WebhookNotifications

4 properties

JSON SCHEMA

WebhookNotifications

4 properties

JSON SCHEMA

WorkspaceObject

8 properties

JSON SCHEMA

WorkspaceObject

8 properties

JSON SCHEMA

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JSON Structure 26

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Databricks Auto Scale Structure

2 properties

JSON STRUCTURE

Databricks Aws Attributes Structure

8 properties

JSON STRUCTURE

Databricks Azure Attributes Structure

3 properties

JSON STRUCTURE

Databricks Cluster Details Structure

32 properties

JSON STRUCTURE

Databricks Cluster Event Structure

4 properties

JSON STRUCTURE

Databricks Create Cluster Request Structure

18 properties

JSON STRUCTURE

Databricks Create Job Request Structure

14 properties

JSON STRUCTURE

Databricks Cron Schedule Structure

3 properties

JSON STRUCTURE

Databricks Edit Cluster Request Structure

16 properties

JSON STRUCTURE

Databricks Error Response Structure

2 properties

JSON STRUCTURE

Databricks Gcp Attributes Structure

3 properties

JSON STRUCTURE

Databricks Git Source Structure

5 properties

JSON STRUCTURE

Databricks Init Script Info Structure

3 properties

JSON STRUCTURE

Databricks Job Cluster Structure

1 properties

JSON STRUCTURE

Databricks Job Settings Structure

11 properties

JSON STRUCTURE

Databricks Job Structure

4 properties

JSON STRUCTURE

Databricks Library Structure

7 properties

JSON STRUCTURE

Databricks Run Structure

21 properties

JSON STRUCTURE

Databricks Run Task Structure

18 properties

JSON STRUCTURE

Databricks Spark Node Structure

6 properties

JSON STRUCTURE

Databricks Structure

0 properties

JSON STRUCTURE

Databricks Task Settings Structure

19 properties

JSON STRUCTURE

Databricks Webhook Notifications Structure

4 properties

JSON STRUCTURE

Databricks Workspace Object Structure

8 properties

JSON STRUCTURE

Scroll within the panel for all 26 ·

Examples 50

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Databricks Getjob Example

6 fields

EXAMPLE

Databricks Job Example

4 fields

EXAMPLE

Databricks Run Example

21 fields

EXAMPLE

Databricks Run Task Example

18 fields

EXAMPLE

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Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Databricks Authentication

http · 1 scheme

SECURITY

Databricks Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Databricks Vulnerability Disclosure

security.txt · contact published

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

Recommended x-agentic-access execution contracts for AI agents.

Databricks Agentic Access

25 operations · 15 acting · 2 human-in-the-loop

25 operations · 15 acting

AGENTIC

Use Cases 5

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

Data Engineering

Build and orchestrate ETL pipelines with Delta Live Tables and multi-task workflows.

Data Warehousing

Run analytical SQL queries on lakehouse data with serverless SQL warehouses.

Machine Learning

Train, track, and deploy ML models with MLflow experiment tracking and model registry.

Real-Time Analytics

Process streaming data with structured streaming and serve results through online tables.

Data Governance

Govern data assets across the organization with Unity Catalog metadata management.

Resources

Every other property we hold for Databricks — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 3

Portal, sign-up, and the first successful call

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Learn 2

Tutorials, courses, talks, and written guidance

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

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