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  1. 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 …

  2. 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 machines, and containers …

  3. 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.

  4. 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.

  5. 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 …

  6. 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 data sources …

  7. 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 is a …

  8. 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.

  9. Introduction | Apache Kafka

    4 days ago · As with publish-subscribe, Kafka allows you to broadcast messages to multiple consumer groups. The advantage of Kafka’s model is that every topic has both these properties–it can scale …

  10. Apache Kafka

    Since the Kafka protocol has changed over time, clients and servers need to agree on the schema of the message that they are sending over the wire. This is done through API versioning.