Connect Feathery and Databricks to Build Intelligent Automations

Choose a Trigger

Feathery

When this happens...

Choose an Action

Databricks

Automatically do this!

Ready to use Feathery and Databricks automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

Data Received

Data Received

Triggers when the end user submits any data through your form.

Request a new Trigger for Feathery

Do thisActions

Action is the task that follows automatically within your Feathery integrations.

Retrieve Account Information

Retrieve Account Information

Retrieve your Account Information

Create Cluster

Create Cluster

Creates a new Databricks cluster for processing tasks.

Create a Directory

Create a Directory

Create a directory by a path.

Delete a Job

Delete a Job

This action deletes a job by ID.

Create a Repo

Create a Repo

Creates a repo in the workspace and links it to the remote Git repo specified.

Delete Repo

Delete Repo

Delete a Repo

Request a new Action for Feathery

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Frequently Asked Questions

How do I start an integration between Feathery and Databricks?

To start, connect both your Feathery and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Feathery triggers actions in Databricks (or vice versa).

Can we customize how data from Feathery is recorded in Databricks?

Absolutely. You can customize how Feathery data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Feathery and Databricks?

The data sync between Feathery and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Feathery to Databricks?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Feathery and Databricks?

Yes, you can set conditional logic to control the flow of data between Feathery and Databricks. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Feathery

About Feathery

Feathery is your go-to platform for lightweight, efficient web solutions. Specializing in seamless, user-friendly interfaces and high-performance applications, Feathery ensures your digital presence is both elegant and powerful.

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Databricks

About Databricks

Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.

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