Connect Filestage and Databricks to Build Intelligent Automations
Choose a Trigger
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
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Ready to use Filestage and Databricks automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Project
Triggers When a new project is created
Project is Archived
Triggers when a project is archived.
Project is Deleted
Triggers when a project is removed.
New File Version Is Uploaded
Triggers when a new version of a file is uploaded.
File Version is Deleted
Triggers when a file version is removed.
New Folder is Created
Triggers when a new folder is created.
Do thisActions
Action is the task that follows automatically within your Filestage integrations.
Create Folder
Creates a folder.
Create Project
Creates a project in the specific folder.
Archive/Unarchive Project
Archives/Unarchives a chosen project.
Add Reviewers to Reviewers Group
Adds reviewers to a chosen reviewer group.
Create Review Comment
Creates a general comment for a provided version.
Get Reviewer Groups by Project
List all reviewer groups of a specific project.
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Frequently Asked Questions
To start, connect both your Filestage and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Filestage triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Filestage data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between Filestage and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Filestage and Databricks. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Filestage
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 MoreAbout 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.
Learn More
