Integrate GMass with Databricks to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Start from a real workflow other teams are already running.
GMass
When this happens...
Email Opened
Email Clicked
Email Bounced
Email Replied
Email Sent
Email Unsubscribed
Databricks
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Delete Repo from Databricks when Email Unsubscribed in Gmass
Use this flowCreate a Directory in Databricks when Email Unsubscribed in Gmass
Use this flowCreate a Repo in Databricks when Email Clicked in GMass
Use this flowCreate a Repo in Databricks when Email Unsubscribed in Gmass
Use this flowDelete Repo from Databricks when Email Opened in GMass
Use this flowDelete a Job in Databricks when Email Replied in Gmass
Use this flowDelete a Job in Databricks when Email Opened in GMass
Use this flowDelete Repo from Databricks when Email Bounced in Gmass
Use this flowDelete a Job in Databricks when Email Unsubscribed in Gmass
Use this flowCreate Cluster in Databricks when Email Replied in Gmass
Use this flowEverything you can automate between GMass and Databricks.
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when an email is opened.
Triggers when a link in an email is clicked.
Triggers when an email bounces.
Triggers when an email that is sent as part of a campaign receives a reply.
Triggers when an individual email is sent as part of a campaign. This is not the trigger for transactional emails.
Triggers when an email address is unsubscribed from your GMass account.
Action is the task that follows automatically within your GMass integrations.
Adds an email address to your account's unsubscribe list. This will prevent your account from sending any campaigns to this address.
Stops a campaign from sending to a particular email address. This is different from "Add Unsubscribe" because this is like unsubscribing an address just for a particular campaign rather than account-wide.
Sends a single transactional email.
Get an overview of your GMass account information.
Creates a new Databricks cluster for processing tasks.
Create a directory by a path.

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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GMass is a powerful email marketing tool that integrates with Gmail to enable users to send mass emails, create email campaigns, and track their performance. It is designed to help businesses and individuals streamline their email marketing efforts directly from their Gmail account.
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 GMass 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 GMass 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 GMass triggers actions in Databricks, and a separate workflow where Databricks triggers actions in GMass. 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 GMass and Databricks. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire GMass 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.