Connect Clockify and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Clockify
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Enable Integrations or automations with these events of Clockify and Databricks
Enable Integrations or automations with these events of Clockify and Databricks
Actions
Find Project
Find a Project in a workspace.
Update a Client
Update your Client here
Delete a Client
Delete a Client
Create Client
Create a new client
Find Client
Find a Client in Workspace.
Find Task
Find Task by Name on a specified project and workspace.
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- Send for Approval acceptCreate Entry of expensesAdd Step
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- has responseSendDMMessageAdd Step
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Frequently Asked Questions
To start, connect both your Clockify and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Clockify triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Clockify 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 Clockify 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 Clockify 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 Clockify
Clockify, a time tracking and timesheet application, enables project-based work hour tracking for unlimited users at no cost.
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.
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