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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.
Downloads - Apache Kafka
The project goal is to have 3 releases a year, which means a release every 4 months. Bugfix releases are made as needed for supported releases only. It is possible to verify every download by following these procedures and using these KEYS. Supported releases 4.3.1 Released June 25, 2026 Release Notes Docker image: apache/kafka:4.3.1. Docker Native image: apache/kafka-native:4.3.1. Source ...
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 ...
Quickstart - Apache Kafka
Kafka is a distributed event streaming platform that lets you read, write, store, and process events (also called records or messages in the documentation) across many machines. Example events are payment transactions, geolocation updates from mobile phones, shipping orders, sensor measurements from IoT devices or medical equipment, and much more.
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 ...
Protocol - Apache Kafka
Kafka protocol guide This document covers the wire protocol implemented in Kafka. It is meant to give a readable guide to the protocol that covers the available requests, their binary format, and the proper way to make use of them to implement a client. This document assumes you understand the basic design and terminology described here Preliminaries Network Kafka uses a binary protocol over ...
Powered By - Apache Kafka
Powered By Apache Kafka is the most popular open-source stream-processing software for collecting, processing, storing, and analyzing data at scale. Most known for its excellent performance, low latency, fault tolerance, and high throughput, it’s capable of handling thousands of messages per second.
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.
Uses - Apache Kafka
Here is a description of a few of the popular use cases for Apache Kafka®. For an overview of a number of these areas in action, see this blog post. Messaging Kafka works well as a replacement for a more traditional message broker. Message brokers are used for a variety of reasons (to decouple processing from data producers, to buffer unprocessed messages, etc). In comparison to most ...
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 ...
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