Connect 3Dsellers and Zilliz to Build Intelligent Automations
Enable Integrations or automations with these events of 3Dsellers and Zilliz
Enable Integrations or automations with these events of 3Dsellers and Zilliz
Actions
Create product
Add a new product to your 3Dsellers store.
Create Category
Creates a new category.
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 3Dsellers and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in 3Dsellers triggers actions in Zilliz (or vice versa).
Absolutely. You can customize how 3Dsellers 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 3Dsellers 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 3Dsellers 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 3Dsellers
3Dsellers is a comprehensive eCommerce platform designed to enhance your online selling experience. It offers a suite of tools to optimize listings, manage orders, and improve customer communication, making it an essential solution for online retailers.
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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