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  1. 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. Above is a snapshot of the number of top-ten largest companies using Kafka, per-industry.

  2. Apache Kafka is a data streaming system used for real-time data pipelines, data integration, and event-driven systems. Learn how Kafka works with examples and use cases.

  3. Kafka is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams. It combines messaging, storage, and stream processing to allow storage and analysis of both historical and real-time data.

  4. en.wikipedia.org › wiki › Apache_KafkaApache Kafka - Wikipedia

    The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Kafka can connect to external systems (for data import/export) via Kafka Connect, and provides the Kafka Streams libraries for stream processing applications.

  5. kafka.apache.org › introApache Kafka

    To process streams of events as they occur or retrospectively. And all this functionality is provided in a distributed, highly scalable, elastic, fault-tolerant, and secure manner. Kafka can be deployed on bare-metal hardware, virtual machines, and containers, and on-premises as well as in the cloud.

  6. Apache Kafka is a distributed data streaming platform used for real-time data pipelines, integration, stream processing, and more. Learn how Kafka works and how it's used with examples.

  7. kafka.apache.org › get-startedApache Kafka

    Building real-time streaming applications that transform or react to the streams of data. First a few concepts: Kafka is run as a cluster on one or more servers that can span multiple datacenters. The Kafka cluster stores streams of records in categories called topics.

  8. At its core, Kafka is a distributed publish-subscribe messaging system. Data is written to Kafka topics by producers and consumed from those topics by consumers. Kafka topics can be partitioned, enabling the parallel processing of data, and topics can be replicated across multiple brokers for fault tolerance.

  9. Feb 8, 2018 · Apache Kafka is a publish-subscribe messaging system. A messaging system let you send messages between processes, applications, and servers. Broadly Speaking, Apache Kafka is a software where topics (A topic might be a category) can be defined and further processed.

  10. As you explore Kafka patterns, and detailed examples, you’ll learn how to write reliable, event-driven microservices and build real-time apps and data pipelines. The guide helps architects, developers, and operators alike gain the Kafka expertise needed to:

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