Integrate Supabase with Databricks to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Cluster in Databricks when New, Updated, or Deleted Row in Supabase
Create a Directory in Databricks when New, Updated, or Deleted Row in Supabase
Delete a Job in Databricks when New, Updated, or Deleted Row in Supabase
Create a Repo in Databricks when New, Updated, or Deleted Row in Supabase
Delete Repo from Databricks when New, Updated, or Deleted Row in Supabase
Start from a real workflow other teams are already running.
Supabase
When this happens...
New, Updated, or Deleted Row
New Project Created
Databricks
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Create Cluster in Databricks when New, Updated, or Deleted Row in Supabase
Use this flowCreate a Directory in Databricks when New, Updated, or Deleted Row in Supabase
Use this flowDelete a Job in Databricks when New, Updated, or Deleted Row in Supabase
Use this flowCreate a Repo in Databricks when New, Updated, or Deleted Row in Supabase
Use this flowDelete Repo from Databricks when New, Updated, or Deleted Row in Supabase
Use this flowCreate Cluster in Databricks when New Project Created in Supabase
Use this flowCreate a Directory in Databricks when New Project Created in Supabase
Use this flowDelete a Job in Databricks when New Project Created in Supabase
Use this flowCreate a Repo in Databricks when New Project Created in Supabase
Use this flowDelete Repo from Databricks when New Project Created in Supabase
Use this flowEverything you can automate between Supabase and Databricks.
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when a row is inserted, updated, or deleted in a selected table.
Update the scheduled trigger to correctly detect newly created Supabase projects for short polling windows by rounding execution time and adding a small end-window buffer.
Action is the task that follows automatically within your Supabase integrations.
Add a new row to a selected table in your Supabase project.
Create a new organization and set its name.
Retrieve all organizations in your Supabase account.
Retrieve a list of your Supabase projects, optionally filtered by organization.
Deletes the given project by its reference.
Create a Supabase project with name, DB password, and organization. Optionally set region, size, or template.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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Supabase is an open-source backend-as-a-service platform that provides developers with a suite of tools to build, deploy, and manage applications. It offers features like real-time databases, authentication, and storage, making it a comprehensive solution for modern app development.
Learn moreDatabricks 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 moreSign up for a free viaSocket account, then authorize both your Supabase 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 Supabase 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 Supabase triggers actions in Databricks, and a separate workflow where Databricks triggers actions in Supabase. 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 Supabase and Databricks. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Supabase 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.