Kafka:Acts as a distributed streaming platform. Messages are published to topics and partitioned for scalability. Consumers subscribe to topics and receive messages as a stream. Order is only guaranteed within a partition, not across the entire topic. This is ideal for high-throughput data pipeline...
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How does Kafka's notion of streams compare to a traditional enterprise messaging system? Messaging traditionally has two models: queuing and publish-subscribe. In a queue, a pool of consumers may read from a server and each record goes to one of them; in publish-subscribe the record is broad...