1. Kafka is a distributed streaming platform
2. Kafka stores all the messages before sending or after successufully received by subscriping applications.
3. Kafka Run as a cluster on one or more servers that can be available on multiple datacenters.
4. Kafka is client centric and it has fair distribution of related messages to consumers and it is extreamly fast and scalable broker
5. Kafka has Horizontally scalable, by adding more partitions
6. Kafka does not degrade performance , adding of new consumers
7. Kafaka uses one destination type called topic, which internally combines both publish-subscribe and point-to-point
8. Kafka message is key-value pair. payload of the message sent as the value.
9. Kafaka cients are responsible for replaying failed messages
10. Kafka retains messages, it is possible for clients to retrieve any message, providing option for re-processing of all messages.
Traditional messasing brokers either don't persist messages at all. and it will store only until they consumed and acknowledged.
Traditional messaging brokers like imperative programming, An event is occurred and our code is notified of that event. it is tightly coupled.
You can Read Apache Kafka for more information about apache kafka
