Integrate Databricks with DevRev 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.
Create Cluster in Databricks when Account Created in Devrev
Use this flowCreate a Directory in Databricks when Account Created in Devrev
Use this flowDelete a Job in Databricks when Account Created in Devrev
Use this flowCreate a Repo in Databricks when Account Created in Devrev
Use this flowDelete Repo from Databricks when Account Created in Devrev
Use this flowCreate Cluster in Databricks when Timeline Entry Created in DevRev
Use this flowCreate a Directory in Databricks when Timeline Entry Created in DevRev
Use this flowDelete a Job in Databricks when Timeline Entry Created in DevRev
Use this flowCreate a Repo in Databricks when Timeline Entry Created in DevRev
Use this flowDelete Repo from Databricks when Timeline Entry Created in DevRev
Use this flowEverything you can automate between Databricks and DevRev.
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when a new Account is created.
Trigger when a new Timeline Entry Created.
Trigger when a new Tag Updated.
Trigger when a Tag Deleted.
Trigger when a new Tag Created.
Trigger when a new Rev Org Created.
Action is the task that follows automatically within your Databricks integrations.
Creates a new Databricks cluster for processing tasks.
Create a directory by a path.
This action deletes a job by ID.
Creates a repo in the workspace and links it to the remote Git repo specified.
Delete a Repo
Updates the user corresponding to the input ID.

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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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.
Learn moreDevRev is an AI-powered platform designed to streamline and enhance the software development and customer relationship management processes. It integrates development and customer support, enabling teams to efficiently manage product development, track issues, and improve customer interactions through AI-driven insights and automation.
Learn moreSign up for a free viaSocket account, then authorize both your Databricks and DevRev 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 DevRev 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 DevRev. No coding required.
Yes. You can set up a workflow where Databricks triggers actions in DevRev, and a separate workflow where DevRev 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 DevRev. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Databricks and DevRev integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.