Connect Zoho Catalyst and Zilliz to Build Intelligent Automations
Enable Integrations or automations with these events of Zoho Catalyst and Zilliz
Enable Integrations or automations with these events of Zoho Catalyst and Zilliz
Actions
Delete project
Delete a project in Zoho Catalyst.
Search Project
Get details for a Zoho Catalyst project
List Clusters
List all the Cluster
List Cloud Regions
List all the Cloud regions in zilliz.
Create Cluster
Create a dedicated cluster.
Delete Cluster
Deletes a Specified Cluster
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Frequently Asked Questions
To start, connect both your Zoho Catalyst and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in Zoho Catalyst triggers actions in Zilliz (or vice versa).
Absolutely. You can customize how Zoho Catalyst 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 Zoho Catalyst 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 Zoho Catalyst 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 Zoho Catalyst
Zoho Catalyst is a powerful serverless platform that enables developers to build and deploy scalable applications effortlessly. With a suite of tools and services, it streamlines the development process, allowing for rapid innovation and deployment.
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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