Integrating Kafka Streams with Node.js

Integrating Kafka Streams with a Node.js application is a powerful way to process and analyze data directly from Apache Kafka within a Node.js environment. Kafka Streams enables you to build real-time data processing and seamlessly integrate it into your Node.js application. Here's a specific guide on how to achieve this:

Step 1: Install Kafka Streams and KafkaJS

First, you need to install Kafka Streams and KafkaJS to integrate Kafka into your Node.js application. You can use npm to install these packages:

npm install kafka-streams kafkajs

Step 2: Create a Kafka Stream

Create a Kafka Stream in your Node.js application using the Kafka Streams API. Here's a basic example of creating a Kafka Stream to process data from one topic and output the result to another topic:

const { KafkaStreams } = require('kafka-streams');
const { Kafka } = require('kafkajs');

const kafka = new Kafka({
  clientId: 'your-client-id',
  brokers: ['broker1:port1', 'broker2:port2'],

const kafkaStreams = new KafkaStreams({
  logLevel: 2, // Level 2 for debug logs

const streamConfig = {
  '': 'your-group-id',
  '': 'broker1:port1,broker2:port2',
  '': false,
  'socket.keepalive.enable': true,

const stream = kafkaStreams.getKStream(streamConfig);

  .filter(record => record.value && record.value.length > 0)
  .map(record => ({
    key: record.key,
    value: record.value.toUpperCase(),


Step 3: Process Data

In the above example, we've created a Kafka Stream to listen to data from the input-topic, then processed the data by converting it all to uppercase and pushing the result to the output-topic.

Step 4: Run the Application

Finally, you need to run your Node.js application to start processing data from Kafka Streams.

Note that in the example above, you need to replace values like your-client-id, broker1:port1, your-group-id, input-topic and output-topic with the specific details of your project.


Integrating Kafka Streams with a Node.js application allows you to flexibly and powerfully build real-time data processing capabilities.