Kafka vs. RabbitMQ in Real Event-Driven Systems

Kafka and RabbitMQ solve different shapes of messaging problems. Kafka shines when durable event history, replay, and high-throughput stream processing matter.

RabbitMQ is often better when routing semantics, work queues, acknowledgements, and operational simplicity are more important than replayable logs.

In real systems, the decision usually follows the recovery story: what must happen after a consumer fails, a downstream system slows down, or a message needs to be replayed?