Databricks
Databricks is the lakehouse company, helping data teams solve the world’s toughest problems.
Go to siteDatabricks API Integrations
Build and run workflows using the Databricks API. Use 1000s of source-available triggers and actions across 2,400+ apps. Or write custom code to integrate any app or API in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Overview#
The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
databricks: {
type: "app",
app: "databricks",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.databricks.$auth.domain}.cloud.databricks.com/api/2.0/clusters/list`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
Choose an API to Connect with Databricks API#
1-24of2,400+apps by most popular
Example Use Cases#
Automated Cluster Management: Set up workflows on Pipedream to monitor cluster performance metrics and automatically scale clusters up or down based on predefined rules. This can help optimize costs and ensure performance without manual intervention.
Dynamic Job Triggering with GitHub: Create a workflow that triggers a Databricks job whenever a new commit is pushed to a specific GitHub repository. This can be used for continuous integration and deployment (CI/CD) of data processing tasks, such as ETL jobs or machine learning model training.
Event-Driven Data Pipelines with Amazon S3: Construct a serverless data pipeline on Pipedream that kicks off a Databricks job when a new file is uploaded to an Amazon S3 bucket. Use this workflow to process and analyze data in near-real-time, enabling quicker insights and decision-making.
Popular Databricks Integrations#
Popular Databricks Actions#
Retrieve the output and metadata of a single task run. See the documentation
Run a job now and return the id of the triggered run. See the documentation
Authentication#
Name Slug: databricksDatabricks uses API keys for authentication. When you connect your Databricks account, Pipedream securely stores the keys so you can easily authenticate to Databricks APIs in both code and no-code steps.
To retrieve your Personal Access Token:
- Sign in to your Databricks account, and open your Databricks workspace.
- From your workspace, click on your username in the top right corner,
- Go to “User Settings” > "Developer" > “Access tokens”
Your domain is 1234 if your Databricks instance URL is https://1234.cloud.databricks.com/, except for the Accounts API whose domain is account regardless of instance.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies