Databricks

API

API for managing Databricks accounts, clusters, notebooks, jobs & workspaces

Overview

The Databricks API offers RESTful endpoints to automate management of Databricks resources: accounts (settings, users), clusters (provision, start/stop), notebooks (CRUD, export), jobs (submit runs, monitor status), and workspaces (folders, files). Responses are in JSON format. Use cases include integrating notebook execution into CI/CD pipelines, scheduling recurring data processing jobs, automating cluster scaling for big data workflows, and managing workspace access controls programmatically.

Example Integration (JavaScript)

script.js JS


fetch('https://docs.databricks.com/dev-tools/api/latest/index.html')
  .then(res => res.json())
  .then(data => console.log(data))
  .catch(err => console.error(err));

Key Features

RESTful API
JSON response format
API key/OAuth authentication
Comprehensive resource management
Automation support for data workflows
Versioned endpoints

Frequently Asked Questions

? Is Databricks API free to use?

No, the Databricks API is only available to users with an active paid Databricks subscription.

? Does it require an API Key?

Yes, you need either an API key or OAuth 2.0 credentials to authenticate and access the Databricks API endpoints.

? What is the response format?

All responses from the Databricks API are in JSON format.

Top Alternatives

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Tool Info

Pricing Paid (included with Databricks subscription)

Category Development

Platform Public API

Pros

⊕ Covers all core Databricks resources
⊕ Well-documented with examples
⊕ Enables DevOps automation
⊕ Scalable for enterprise needs
⊕ Integrates with popular tools

Cons

⊖ Requires paid Databricks account
⊖ Rate limits apply
⊖ Steep learning curve for new users
⊖ Advanced features tied to plan tiers