Connect My Hours and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New Project
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of My Hours and TimescaleDB
Enable Integrations or automations with these events of My Hours and TimescaleDB
Triggers
New Project
Triggers when a new project is created.
Actions
Create Project
Creates a new project for time tracking.
Add Task To Project
Add a task to project.
Create Client
Creates a Client.
Create Tag
Creates a tag.
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Frequently Asked Questions
To start, connect both your My Hours and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in My Hours triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how My Hours data is recorded in TimescaleDB. This includes choosing which data fields go into which fields of TimescaleDB, setting up custom formats, and filtering out unwanted information.
The data sync between My Hours and TimescaleDB 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 My Hours and TimescaleDB. 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 My Hours
Myhour is a comprehensive time tracking and project management tool designed to help teams and individuals efficiently manage their work hours and tasks. With features like detailed reporting, invoicing, and team collaboration, Myhour ensures that you stay on top of your projects and deadlines.
Learn MoreAbout TimescaleDB
TimescaleDB is a powerful time-series database designed for fast ingest and complex queries, making it ideal for handling time-series data efficiently. It extends PostgreSQL, providing scalability and performance enhancements specifically for time-series workloads.
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