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.
Step 7: Process your events with Kafka Streams Once your data is stored in Kafka as events, you can process the data with the Kafka Streams client library for Java/Scala. It allows you to implement mission-critical real-time applications and microservices, where the input and/or output data is stored in Kafka topics.
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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 ...
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. With over 1,000 Kafka use cases and counting, some common benefits are building data ...
Apache Kafka 4.2.0 Release Announcement Tuesday, in Release Announcements We are proud to announce the release of Apache Kafka® 4.2. This release contains many new features and improvements. This blog post will highlight some of the more prominent ones. For a full list of changes, be sure to check the release notes. Kafka ...