Connect Databricks and Lago
Integrate Databricks with Lago to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Cluster in Databricks when New Payment Arrives in Lago
Create a Directory in Databricks when New Payment Arrives in Lago
Delete a Job in Databricks when New Payment Arrives in Lago
Create a Repo in Databricks when New Payment Arrives in Lago
Delete Repo from Databricks when New Payment Arrives in Lago
Popular Databricks + Lago flows
Start from a real workflow other teams are already running.
Choose a trigger
Databricks
When this happens...
- Request a new Trigger for Databricks
Choose an action
Lago
Automatically do this!
Create Invoice
List All Customers
List Subscriptions
List All Invoices
Get an Invoice
List Plans
Get Subscription Plan
Create Coupon
List all Coupons
Apply Coupon
List All Add Ons
Create Tax Rate
List Tax Rates
Create Cluster in Databricks when New Payment Arrives in Lago
Use this flowCreate a Directory in Databricks when New Payment Arrives in Lago
Use this flowDelete a Job in Databricks when New Payment Arrives in Lago
Use this flowCreate a Repo in Databricks when New Payment Arrives in Lago
Use this flowDelete Repo from Databricks when New Payment Arrives in Lago
Use this flowCreate Cluster in Databricks when New Customer Created in Lago
Use this flowCreate a Directory in Databricks when New Customer Created in Lago
Use this flowDelete a Job in Databricks when New Customer Created in Lago
Use this flowCreate a Repo in Databricks when New Customer Created in Lago
Use this flowDelete Repo from Databricks when New Customer Created in Lago
Use this flowSupported Triggers & Actions
Everything you can automate between Databricks and Lago.
When this happensTriggers
A trigger is an event that starts a workflow.
New Payment Arrives
Runs when new payment arrives
New Customer Created
Runs when a new customer is created.
New Plan
Triggers when a new plan is created.
New Invoice Created
Triggers When a new invoice is created
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 Invoice
Create a new invoice
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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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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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 Databricks and Lago 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 Databricks and Lago 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 Lago. No coding required.
Yes. You can set up a workflow where Databricks triggers actions in Lago, and a separate workflow where Lago triggers actions in Databricks. 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 Databricks and Lago. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Databricks and Lago integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
