The original use case for Kafka was to be able to rebuild a user activity tracking pipeline as a set of real-time publish-subscribe feeds. In this domain Kafka is comparable to traditional messaging systems such as ActiveMQ or
In our experience messaging uses are often comparatively low-throughput, but may require low end-to-end latency and often depend on the strong Solution for large scale message processing applications. In comparison to most messaging systems Kafka has better throughput, built-in partitioning, replication, and fault-tolerance which makes it a good Message brokers are used for a variety of reasons (to decouple processing from data producers, to buffer unprocessed messages, etc). Kafka works well as a replacement for a more traditional message broker. Here is a description of a few of the popular use cases for Apache Kafka®.įor an overview of a number of these areas in action, see this blog post.
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