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AppsFlyer
Apache Kafka

Integrate AppsFlyer with Apache Kafka

Don't go through the pain of direct integration. RudderStack’s AppsFlyer integration makes it easy to send data from AppsFlyer to Apache Kafka and all of your other cloud tools.

Easy AppsFlyer to Apache Kafka integration with RudderStack

RudderStack’s open source AppsFlyer integration allows you to integrate RudderStack with your AppsFlyer to track event data and automatically send it to Apache Kafka . With the RudderStack AppsFlyer 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.

Popular ways to use Apache Kafka and RudderStack
Send real-time data

Send real-time data from multiple sources to Apache Kafka .

Easily send user data

Automatically send user information to Apache Kafka .

Easily flag conversions

Automatically tag existing events as conversions in Apache Kafka .

Frequently Asked Questions
With Rudderstack, integration between AppsFlyer and Apache Kafka is simple. Set up a AppsFlyer source and start sending data.
Pricing AppsFlyer and Apache Kafka can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
Timing can vary based on your tech stack and the complexity of your data needs for AppsFlyer and Apache Kafka .
Use the Apache Kafka integration with other popular sources
About Apache Kafka

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.

About AppsFlyer

AppsFlyer is a popular SaaS-based mobile attribution and marketing analytics platform. It allows you to manage, measure, and optimize your mobile user acquisition to improve your ROI. AppsFlyer offers exciting features such as unique deep linking technology, real-time data reports, and much more.