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.
