Connect Databricks and Harvestr to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Databricks
Choose an Action
Automatically do this!
Create Message
Create Company
Search Discoveries
List Company Attributes
List User Attributes
Create New User
Update User
Update Company
Ready to use Databricks and Harvestr automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New User Is Created
Runs when new user is created
Company Is Created
Runs when company is created
New Discovery Created
Runs when new discovery created
New Message Created
Runs when new message created
New Submitter
Runs when New Submitter
Do thisActions
Action is the task that follows automatically within your Databricks integrations.
Create Cluster
Creates a new Databricks cluster for processing tasks.
Create a Directory
Create a directory by a path.
Delete a Job
This action deletes a job by ID.
Create a Repo
Creates a repo in the workspace and links it to the remote Git repo specified.
Delete Repo
Delete a Repo
Create Message
Create a new inbox message
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Frequently Asked Questions
To start, connect both your Databricks and Harvestr accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in Harvestr (or vice versa).
Absolutely. You can customize how Databricks data is recorded in Harvestr. This includes choosing which data fields go into which fields of Harvestr, setting up custom formats, and filtering out unwanted information.
The data sync between Databricks and Harvestr typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Databricks and Harvestr. 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.
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.
Learn MoreAbout Harvestr
Harvestr is a product management tool that lets you centralize user feedback, prioritize features and communicate on your roadmap.
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