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AMP Analytics SDK Apache Kafka

Integrate your AMP Analytics app with Apache Kafka

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

Easy AMP Analytics SDK to Apache Kafka integration with RudderStack

RudderStack’s open source AMP Analytics SDK allows you to integrate RudderStack with your AMP Analytics app to track event data and automatically send it to Apache Kafka . With the RudderStack AMP Analytics SDK , 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

Stream behavioral data

Easily stream data from your website or app to Apache Kafka in real-time.

Customize data payloads

Modify payloads to match requirements in Apache Kafka.

Connect your pipelines

Automatically send user behavior data directly to Apache Kafka.

Frequently Asked Questions

With Rudderstack, integration between AMP Analytics SDK and Apache Kafka is simple. Set up a AMP Analytics SDK source and start sending data.

Pricing AMP Analytics SDK 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 AMP Analytics SDK and Apache Kafka.

Use the Apache Kafka integration with other popular sources

Ruby SDK

RudderStack SDKs

RudderStack Apache Kafka Documentation

Refer to our step-by-step guide and start using Apache Kafka today

RudderStack AMP Analytics SDK Documentation

Refer to our step-by-step guide and start using AMP Analytics SDK today

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.

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