
When this happens...
Booking Created
Booking Reschedules
Booking Is Cancelled

Automatically do this!
List Clusters
List Cloud Regions
Create Cluster
Delete Cluster
List Alert Rules
List Projects
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when booking created
Runs when booking reschedules
Runs when booking is cancelled
Action is the task that follows automatically within your Cal.com integrations.
Get attendees for a booking
List all booking references
Retrieve all event types
List all schedules
List all teams in your account
Show all configured webhooks

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To start, connect both your Cal.com and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in Cal.com triggers actions in Zilliz (or vice versa).
Absolutely. You can customize how Cal.com 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 Cal.com 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 Cal.com 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.
Cal.com is a versatile scheduling platform designed to streamline appointment booking and calendar management. It offers seamless integration with various calendar services, making it easy to schedule meetings, events, and appointments.
Learn MoreZilliz 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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