Overview
The Databricks REST API lets you programmatically manage clusters, notebooks, jobs, and workspaces on the Databricks platform — a cloud-based analytics and machine learning environment built on Apache Spark. You can automate cluster lifecycle operations, trigger notebook runs, and retrieve job results without using the UI. An API key (personal access token) scoped to your Databricks workspace is required.
Beginner Tip
Databricks is an enterprise big-data platform aimed at data engineers and ML practitioners rather than general beginners. You need an active Databricks workspace (available on AWS, Azure, or GCP), and your API base URL differs per workspace — it is not a single global endpoint.
Available Data
Example Response
{
"title": "The Great Gatsby",
"authors": [
"F. Scott Fitzgerald"
],
"publishedDate": "1925-04-10",
"pageCount": 218,
"categories": [
"Fiction"
],
"imageLinks": {
"thumbnail": "https://books.google.com/..."
},
"averageRating": 4
} Field Reference
cluster_id Unique identifier for a Databricks cluster, used to reference it in start/stop/delete calls. state Current cluster lifecycle state: PENDING, RUNNING, RESTARTING, RESIZING, TERMINATING, or TERMINATED. cluster_name Human-readable name assigned to the cluster when it was created. spark_version The Databricks Runtime version string (e.g., "13.3.x-scala2.12") used by this cluster. num_workers Number of worker nodes in the cluster, not counting the driver node. creator_user_name Email address of the user who created the cluster. Implementation Example
const url = "https://docs.databricks.com/dev-tools/api/latest/";
// Replace headers or query params with the values required by this API.
const response = await fetch(url, {
headers: {
"X-API-Key": "YOUR_API_KEY"
}
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
const data = await response.json();
console.log(data); What Can You Build?
Note: These code examples are AI-generated and unverified. Always refer to the official API documentation for accurate usage.
Common Errors & Troubleshooting
Matrix Score Breakdown
Partially tested on Apr 5, 2026
Technical Specifications
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