Connect Databricks and Airtable to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Databricks
Choose an Action
Automatically do this!
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Delete a Record
Update Record
List a record by Record ID
Find Record or Create Record
Create a New Record
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Ready to use Databricks and Airtable automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Records Created or Updated
Trigger when new record is created or updated in your table.
New Records Created
Trigger when new record is created in your table.
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
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list all records
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Step by step guides to integrate Databricks and Airtable
Frequently Asked Questions
To start, connect both your Databricks and Airtable accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in Airtable (or vice versa).
Absolutely. You can customize how Databricks data is recorded in Airtable. This includes choosing which data fields go into which fields of Airtable, setting up custom formats, and filtering out unwanted information.
The data sync between Databricks and Airtable 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 Airtable. 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 Airtable
Airtable is a cloud-based platform for creating and sharing relational databases. The user-friendly interface allows anyone to spin up a database in minutes.
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