| Traditional Messaging System | Kafka Streaming Platform |
|---|---|
| Transient message persistance | Stores events based on a retention time. Events are immutable. |
| Brokers responsibility to keep track of consumed messages. | Consumers responsiblity to keep track of consumed messages. |
| Target a specific Consumer. | Any Consumer can access a message from the Broker. |
| Not a distributed system. | Distributed streaming system. |
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To process payments and financial transactions in real-time, such as in stock exchanges, banks, and insurances.
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To track and monitor cars, trucks, fleets, and shipments in real-time, such as in logistics and the automotive industry.
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To continuously capture and analyze sensor data from IoT devices or other equipment, such as in factories and wind parks.
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To collect and immediately react to customer interactions and orders, such as in retail, the hotel and travel industry, and mobile applications.
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To monitor patients in hospital care and predict changes in condition to ensure timely treatment in emergencies.
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To connect, store, and make available data produced by different divisions of a company.
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To serve as the foundation for data platforms, event-driven architectures, and microservices.
