Kafka vs RabbitMQ: What are the differences?
Kafka: Distributed, fault tolerant, high throughput pub-sub messaging system. Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design; RabbitMQ: A messaging broker - an intermediary for messaging. RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
Kafka and RabbitMQ can be categorized as "Message Queue" tools.
Some of the features offered by Kafka are:
- Written at LinkedIn in Scala
- Used by LinkedIn to offload processing of all page and other views
- Defaults to using persistence, uses OS disk cache for hot data (has higher throughput then any of the above having persistence enabled)
On the other hand, RabbitMQ provides the following key features:
- Robust messaging for applications
- Easy to use
- Runs on all major operating systems
"High-throughput" is the top reason why over 95 developers like Kafka, while over 203 developers mention "It's fast and it works with good metrics/monitoring" as the leading cause for choosing RabbitMQ.
Kafka and RabbitMQ are both open source tools. It seems that Kafka with 12.7K GitHub stars and 6.81K forks on GitHub has more adoption than RabbitMQ with 5.94K GitHub stars and 1.78K GitHub forks.
reddit, 9GAG, and Rainist are some of the popular companies that use RabbitMQ, whereas Kafka is used by Uber Technologies, Spotify, and Slack. RabbitMQ has a broader approval, being mentioned in 940 company stacks & 548 developers stacks; compared to Kafka, which is listed in 509 company stacks and 470 developer stacks.