
When this happens...

Automatically do this!
Create a New Object Class
Create a New Tenant
Remove an Object Class
Delete Tenants From a Class
Enable Integrations or automations with these events of MoEngage and Weaviate
This action creates a new user in MoEngage .If the user profile already exist , this action updates the user attributes
This action adds or removes a user from cohort
Create a new data object collection.
Create a new tenant for a collection. Multi-tenancy must be enabled in the collection definition.
Remove a collection from the schema. This will also delete all the objects in the collection.
Delete Tenants From a Class
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To start, connect both your MoEngage and Weaviate accounts to viaSocket. Once connected, you can set up a workflow where an event in MoEngage triggers actions in Weaviate (or vice versa).
Absolutely. You can customize how MoEngage data is recorded in Weaviate. This includes choosing which data fields go into which fields of Weaviate, setting up custom formats, and filtering out unwanted information.
The data sync between MoEngage and Weaviate 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 MoEngage and Weaviate. 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.
MoEngage is a comprehensive customer engagement platform that helps businesses understand their users and engage them with personalized communication across various channels. It offers features like analytics, push notifications, email marketing, and in-app messaging to enhance user experience and drive growth.
Learn MoreWeaviate is an open-source vector search engine that allows you to store, search, and manage data in a highly efficient manner. It is designed to handle large-scale data sets and provides powerful tools for semantic search and data management.
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