How is Kafka better than direct point-to-point delivery when updating data?

Kafka is better than direct point-to-point data sending for several reasons:

• Reliability and resilience: messages are stored in topics, allowing consumers to read them at convenient times and to re-read in case of failures.
• Scalability: Kafka supports a large number of consumers and producers without loss of performance.
• Asynchronous: the sender does not depend on the receiver's state, reducing delays and increasing fault tolerance.
• Flexibility: it is easy to connect new consumers without changing the sender.

Unlike point-to-point, where a message is sent directly and requires confirmation, Kafka provides a more reliable and scalable data exchange architecture.