Connect TimeCamp and Zilliz to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for TimeCamp
Choose an Action
Automatically do this!
List Clusters
List Cloud Regions
Create Cluster
Delete Cluster
List Alert Rules
List Projects
Enable Integrations or automations with these events of TimeCamp and Zilliz
Enable Integrations or automations with these events of TimeCamp and Zilliz
Actions
Create Task
Create a new task in a specific project.
Create Time Entry
Create a new time entry.
Create Project
Create a new project.
Update Task
Update a task by its id
Delete Time Entry
Delete a time entry by its id.
List Clusters
List all the Cluster
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Frequently Asked Questions
To start, connect both your TimeCamp and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in TimeCamp triggers actions in Zilliz (or vice versa).
Absolutely. You can customize how TimeCamp data is recorded in Zilliz. This includes choosing which data fields go into which fields of Zilliz, setting up custom formats, and filtering out unwanted information.
The data sync between TimeCamp and Zilliz 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 TimeCamp and Zilliz. 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 TimeCamp
TimeCamp is a simple, yet feature-rich time tracking app to help you gain insights into yourprojects and tasks.
Learn MoreAbout Zilliz
Zilliz is a leading provider of vector database solutions, designed to handle large-scale data processing and analytics. It offers advanced capabilities for managing and querying vector data, making it ideal for AI and machine learning applications. Zilliz's platform is optimized for high performance and scalability, enabling businesses to efficiently process and analyze complex datasets.
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