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Next.jsApache Kafka

Integrate your Next.js site with Apache Kafka

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

Easy Next.js to Apache Kafka Integration with RudderStack

RudderStack’s open source JavaScript SDK allows you to integrate RudderStack with your Next.js site to track event data and automatically send it to Apache Kafka . With the RudderStack JavaScript 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 Next.js and Apache Kafka is simple. Set up a Next.js source and start sending data.

Pricing Next.js 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 Next.js and Apache Kafka.

Use the Apache Kafka integration with other popular sources

Flutter SDK

RudderStack SDKs

RudderStack Apache Kafka Documentation

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

Use the Next.js integration with other popular destinations

VWO

A/B Testing & Feature Experimentation

New Relic

Error Reporting & Monitoring

RudderStack Next.js Documentation

Refer to our step-by-step guide and start using Next.js 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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