Connect Baserow and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
Row Updated
Row Created or Updated
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Ready to use Baserow and Databricks automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Row Updated
Triggers when an existing row is updated.
Row Created or Updated
Triggers when a new row is created or an existing row is updated.
Do thisActions
Action is the task that follows automatically within your Baserow integrations.
Delete a Row
Deletes an existing row.
List tables
List all tables in your account.
Create a Row
Creates a new row in Baserow
List Row
Lists all Row in Baserow.
Create Cluster
Creates a new Databricks cluster for processing tasks.
Create a Directory
Create a directory by a path.
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Frequently Asked Questions
To start, connect both your Baserow and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Baserow triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Baserow 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.
The data sync between Baserow and Databricks 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 Baserow 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.
About Baserow
Baserow is an open-source, no-code database platform that allows users to create, share, and manage databases online without programming.It offers an intuitive spreadsheet-like interface for relational data, with features like API access, permissions, and custom views.Baserow can be self-hosted or used as a hosted service, making it ideal for quickly building internal tools, prototypes, or collaborative databases.
Learn MoreAbout 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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