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2) Distributed, high throughput, pub sub messaging system
- Fast, scalable, durable
3) Main use cases:
- Log aggregation, real time processing, monitoring, queueing
4) Originally developed by linkedln
|Messaging semantics||Relaxed and proprietary|
|supported protocols||propreitary protocol written over TCP|
|standard messaging||supports only pub/sub with proprietary protocol|
|clustering||requires zoo keepemake a cluster|
|Performance||higher performance due to simpler messaging semantic and properietary protocol|
|Deployment complexity||complex deployment with multiple component deployed in a cluster|
|message flow control||need to be done at the client side|
|management console||no native management console|
|compatibility||Need special connectors to be written for existing systems to connect with kafka|
|Security||no SSL support|