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Integrate Apache Kafka Source with Emarsys
Don't go through the pain of direct integration. RudderStack’s Apache Kafka Source integration makes it easy to send data from Apache Kafka Source to Emarsys and all of your other cloud tools.
Easy Apache Kafka Source to Emarsys integration with RudderStack
RudderStack’s open source Apache Kafka Source integration allows you to integrate RudderStack with your Apache Kafka Source to track event data and automatically send it to Emarsys. With the RudderStack Apache Kafka Source integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Available via webhook
Send event data to Emarsys by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Emarsys API. Once enabled, RudderStack will forward events to Emarsys (note, this requires leveraging cloud API endpoints for Emarsys ).
Popular ways to use Emarsys and RudderStack
Stream behavioral data
Easily stream data from your website or app to [integration, destination=TRUE] in real-time.
Customize data payloads
Modify payloads to match requirements in [integration, destination=TRUE].
Connect your pipelines
Automatically send user behavior data directly to Emarsys.
Frequently Asked Questions
About Emarsys
Emarsys is an omnichannel customer engagement platform that lets you deliver highly personalized experiences to convert, grow, and retain your customers. It provides automated, predictable, and profitable outcomes that your business demands. With an open architecture and API, Emarsys eliminates data silos and unifies customer data making it an intelligent engagement platform.
About Apache Kafka Source
Apache Kafka is a popular distributed streaming platform. It allows you to handle large-scale workloads with high throughput and low latency. Apache Kafka is highly available and is used across the world for building real-time data pipelines and streaming applications.