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  • Kafka Streams - Apache Kafka
    Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries
  • Apache Kafka
    Apache Kafka Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications
  • Kafka Streams | Apache Kafka
    Last modified December 19, 2025: Add license info to every source file and handle `documentation html` links for all versioned paths (#764) (379dba2230)
  • Introduction | Apache Kafka
    What is event streaming? Event streaming is the digital equivalent of the human body’s central nervous system It is the technological foundation for the ‘always-on’ world where businesses are increasingly software-defined and automated, and where the user of software is more software Technically speaking, event streaming is the practice of capturing data in real-time from event sources
  • Architecture - Apache Kafka
    Kafka Streams simplifies application development by building on the Kafka producer and consumer libraries and leveraging the native capabilities of Kafka to offer data parallelism, distributed coordination, fault tolerance, and operational simplicity In this section, we describe how Kafka Streams works underneath the covers The picture below shows the anatomy of an application that uses the
  • Quick Start - Apache Kafka
    Run Streams Demo Application This tutorial assumes you are starting fresh and have no existing Kafka or ZooKeeper data However, if you have already started Kafka and ZooKeeper, feel free to skip the first two steps Kafka Streams is a client library for building mission-critical real-time applications and microservices, where the input and or output data is stored in Kafka clusters Kafka
  • Introduction - Apache Kafka
    Apache Kafka® is a distributed streaming platform What exactly does that mean? A streaming platform has three key capabilities: Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system Store streams of records in a fault-tolerant durable way Process streams of records as they occur Kafka is generally used for two broad classes of applications
  • Introduction | Apache Kafka
    Kafka Streams The easiest way to write mission-critical real-time applications and microservices Kafka Streams is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka’s server-side cluster
  • Write a streams app - Apache Kafka
    Tutorial: Write a Kafka Streams Application In this guide we will start from scratch on setting up your own project to write a stream processing application using Kafka Streams It is highly recommended to read the quickstart first on how to run a Streams application written in Kafka Streams if you have not done so Setting up a Maven Project We are going to use a Kafka Streams Maven Archetype
  • Quick Start | Apache Kafka
    Run Kafka Streams Demo Application This tutorial assumes you are starting fresh and have no existing Kafka or ZooKeeper data However, if you have already started Kafka and ZooKeeper, feel free to skip the first two steps Kafka Streams is a client library for building mission-critical real-time applications and microservices, where the input and or output data is stored in Kafka clusters





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