Integrate Filestage 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.
Filestage
When this happens...
New Project
Project is Archived
Project is Deleted
New File Version Is Uploaded
File Version is Deleted
New Folder is Created
Reviewer is Invited to a Reviewer Group
File Is Deleted
New Comment is Created
Comment Reply Is Created
File Due Date Is Changed
File Review Status is Changed
Review Decision is Submitted
New File is Added to a Project
When a Review Is Started in a New Reviewer Group
When a Review Due Date Has Arrived
Databricks
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Create Cluster in Databricks when New Project in Filestage
Use this flowCreate a Directory in Databricks when New Project in Filestage
Use this flowDelete a Job in Databricks when New Project in Filestage
Use this flowCreate a Repo in Databricks when New Project in Filestage
Use this flowDelete Repo from Databricks when New Project in Filestage
Use this flowCreate Cluster in Databricks when Project is Archived in Filestage
Use this flowCreate a Directory in Databricks when Project is Archived in Filestage
Use this flowDelete a Job in Databricks when Project is Archived in Filestage
Use this flowCreate a Repo in Databricks when Project is Archived in Filestage
Use this flowDelete Repo from Databricks when Project is Archived in Filestage
Use this flowEverything you can automate between Filestage and Databricks.
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers When a new project is created
Triggers when a project is archived.
Triggers when a project is removed.
Triggers when a new version of a file is uploaded.
Triggers when a file version is removed.
Triggers when a new folder is created.
Action is the task that follows automatically within your Filestage integrations.
Creates a folder.
Creates a project in the specific folder.
Archives/Unarchives a chosen project.
Adds reviewers to a chosen reviewer group.
Creates a general comment for a provided version.
List all reviewer groups of a specific project.

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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Filestage is a collaborative platform designed to streamline the review and approval process for creative projects. It allows teams to share, review, and approve files such as videos, images, and documents in a centralized and organized manner, enhancing productivity and ensuring timely feedback.
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 Filestage 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 Filestage 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 Filestage triggers actions in Databricks, and a separate workflow where Databricks triggers actions in Filestage. 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 Filestage and Databricks. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Filestage 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.