Connect Trackingtime and MYSQL to Build Intelligent Automations
Enable Integrations or automations with these events of Trackingtime and MYSQL
Enable Integrations or automations with these events of Trackingtime and MYSQL
Actions
Add Customer
Adds a new customer.
Update Project
Updates an existing project.
Add Time Entry
Adds a new time entry.
Add Service
Adds a new service.
Add Task
Adds a new task.
Update Task
Update tasks for Tracking Time.
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Frequently Asked Questions
To start, connect both your Trackingtime and MYSQL accounts to viaSocket. Once connected, you can set up a workflow where an event in Trackingtime triggers actions in MYSQL (or vice versa).
Absolutely. You can customize how Trackingtime data is recorded in MYSQL. This includes choosing which data fields go into which fields of MYSQL, setting up custom formats, and filtering out unwanted information.
The data sync between Trackingtime and MYSQL 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 Trackingtime and MYSQL. 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 Trackingtime
Trackingtime is a comprehensive time tracking and productivity tool designed to help businesses and individuals manage their time efficiently. It offers features such as task management, project tracking, and detailed reporting to ensure optimal productivity and time management.
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About MYSQL
MySQL is an open-source relational database management system (RDBMS) that uses Structured Query Language (SQL) for managing and querying data. It is widely used for its speed, reliability, and flexibility in handling large-scale database applications. MySQL is commonly employed in web development and is a key component of the popular LAMP stack (Linux, Apache, MySQL, PHP/Perl/Python).
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