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Kafka combines three key capabilities so you can implement your use cases for event streaming end-to-end with a single battle-tested solution: To publish (write) and subscribe to (read) streams of events, including continuous import/export of your data from other systems. To store streams of events durably and reliably for as long as you want.
Franz Kafka (3 July 1883 – 3 June 1924) was a German-speaking Bohemian Jewish novelist and writer from Prague. He is widely regarded as one of the major figures of 20th-century literature. His work fuses elements of realism and the fantastic.
Apache Kafka® is a distributed event streaming platform that is used for building real-time data pipelines and streaming applications. Kafka is designed to handle large volumes of data in a scalable and fault-tolerant manner, making it ideal for use cases such as real-time analytics, data ingestion, and event-driven architectures.
Feb 27, 2024 · Kafka 3.6.0 includes a significant number of new features and fixes. For more information, please read our blog post and the detailed Release Notes. 3.5.2. Released Dec 11, 2023 Release Notes; Source download: kafka-3.5.2-src.tgz (asc, sha512) Binary downloads: Scala 2.12 - kafka_2.12-3.5.2.tgz (asc, sha512)
Apache Kafka (Kafka) is an open-source, distributed streaming platform that enables (among other things) the development of real-time, event-driven applications and user experiences on the web. Today, billions of data sources continuously generate streams of data records, including streams of events. An event is a digital record of an action ...
Apache Kafka: A Distributed Streaming Platform. Apache Kafka Toggle navigation. Get Started Introduction Quickstart Use Cases Books & Papers Videos Podcasts Docs Key Concepts APIs Configuration Design Implementation Operations Security Clients Kafka Connect ...
Apache Kafka is a distributed data store optimized for ingesting and processing streaming data in real-time. Streaming data is data that is continuously generated by thousands of data sources, which typically send the data records in simultaneously. A streaming platform needs to handle this constant influx of data, and process the data ...
