Why did you choose Kafka over other brokers (RabbitMQ, NATS)?

Kafka is chosen instead of RabbitMQ or NATS when high throughput, scalability, and fault tolerance are required. Kafka is optimized for processing large data streams with the ability to store messages on disk and re-read them, which is important for systems with analytics and real-time event processing.

Unlike RabbitMQ, which focuses on complex routing and guaranteed delivery with acknowledgments, Kafka is better suited for scenarios with many subscribers and the need to store message history. NATS is simpler and faster for lightweight messages but does not provide long-term storage or complex delivery guarantees.

Examples of reasons to choose Kafka:

• High performance and scalability
• Ability to store and re-read messages
• Support for stream processing
• Well-suited for event sourcing and CQRS

Thus, the choice of Kafka is driven by requirements for load, resilience, and system architecture.