Connect Google Sheets and Databricks
Integrate Google Sheets with Databricks to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Delete a Job in Databricks when Row Added Or Updated in Google Sheets
Create a Repo in Databricks when Row Added Or Updated in Google Sheets
Create Cluster in Databricks when Row Added Or Updated in Google Sheets
Create a Directory in Databricks when Row Added Or Updated in Google Sheets
Delete Repo from Databricks when Row Added Or Updated in Google Sheets
Popular Google Sheets + Databricks flows
Start from a real workflow other teams are already running.
Choose a trigger
Google Sheets
When this happens...
Row Added Or Updated
Choose an action
Databricks
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Delete a Job in Databricks when Row Added Or Updated in Google Sheets
Use this flowCreate a Repo in Databricks when Row Added Or Updated in Google Sheets
Use this flowCreate Cluster in Databricks when Row Added Or Updated in Google Sheets
Use this flowCreate a Directory in Databricks when Row Added Or Updated in Google Sheets
Use this flowDelete Repo from Databricks when Row Added Or Updated in Google Sheets
Use this flowSupported Triggers & Actions
Everything you can automate between Google Sheets and Databricks.
When this happensTriggers
A trigger is an event that starts a workflow.
Row Added Or Updated
Runs when row added or updated
Do thisActions
Action is the task that follows automatically within your Google Sheets integrations.
Update Spreadsheet Row
Update columns in sheet row
List Rows in Sheet
Get rows from a sheet tab as objects with row numbers. Supports an optional header row, offset/limit paging, and fetching from the last row.
Delete Rows
Delete one or more rows from a specific sheet in a Google Spreadsheet using a row range or row numbers.
Add New Row to Sheet
Make the Columns field optional, allow empty column selection to use direct Column Values mapping, and keep empty-row validation intact.
Lookup Spreadsheet Rows
Find rows in a Google Sheet that match a column value or an advanced filter.
Copy Sheet To Spreadsheet
Copy a sheet to another file
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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Learn how to automate Google Sheets and Databricks workflows.
Learn how to automate Google Sheets and Databricks workflows.
Learn how to automate Google Sheets and Databricks workflows.
Learn how to automate Google Sheets and Databricks workflows.
Learn how to automate Google Sheets and Databricks workflows.
Learn how to automate Google Sheets and Databricks workflows.
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About Google Sheets
Google Sheets is a cloud-based spreadsheet application that lets users create, edit, share, and collaborate on spreadsheets in real time.
Learn moreSimilar apps
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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Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Google Sheets and Databricks accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Google Sheets and Databricks as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Databricks. No coding required.
Yes. You can set up a workflow where Google Sheets triggers actions in Databricks, and a separate workflow where Databricks triggers actions in Google Sheets. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Google Sheets and Databricks. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Google Sheets and Databricks integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
