
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 …
Introduction - Apache Kafka
Kafka is a distributed system consisting of servers and clients that communicate via a high-performance TCP network protocol. It can be deployed on bare-metal hardware, virtual …
Apache Kafka
The Connector API allows building and running reusable producers or consumers that connect Kafka topics to existing applications or data systems. For example, a connector to a relational …
Quickstart - Apache Kafka
In this quickstart we’ll see how to run Kafka Connect with simple connectors that import data from a file to a Kafka topic and export data from a Kafka topic to a file.
Downloads - Apache Kafka
Nov 12, 2025 · Kafka 4.1.0 includes a significant number of new features and fixes. For more information, please read our blog post, the detailed Upgrade Notes and the Release Notes.
Introduction | Apache Kafka
Kpow is an enterprise-grade toolkit that provides a rich, data-oriented UI and secure API for Apache Kafka. It's designed to give engineers deep visibility and control over their Kafka …
Powered By - Apache Kafka
Apache Kafka is used for both real-time and batch data processing, and is the chosen event log technology for Amadeus microservice-based streaming applications. Kafka is also used for …
Uses - Apache Kafka
Kafka abstracts away the details of files and gives a cleaner abstraction of log or event data as a stream of messages. This allows for lower-latency processing and easier support for multiple …
Blog | Apache Kafka
Mar 18, 2025 · Apache Kafka 3.9.0 Release Announcement Wednesday, November 06, 2024 in Release Announcements We are proud to announce the release of Apache Kafka 3.9.0. This …
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.