
When this happens...
Key Added
Contributor Added
Contributor Removed
Key Removed
Key Modified
Key Comment Added
Language Added
Language Removed
Project Snapshot
Project Imported
Task Created
Language Setting Changed
Task Closed
Task Deleted
Task Language Closed
Branch Added
Branch Merged
Branch Deleted
Translation Reviewed
Translation Updated
Project Created

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new key is added to the project.
Triggers when a new contributor is added to the project.
Triggers when an existing contributor is removed from the project.
Triggers when an existing key is removed from the project.
Triggers when an existing key is modified from the project.
Triggers when a new comment is added to the key.
Action is the task that follows automatically within your Lokalise integrations.
Delete an existing Project.
Creates a Project.
Creates a Comment.
Update an existing translation.
Creates a Task.
Creates a Branch.

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To start, connect both your Lokalise and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Lokalise triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Lokalise 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 Lokalise 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 Lokalise 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.
Lokalise is a translation management tool that lets you structure and automate workflows while encouraging collaboration among all involved.
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.
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