What are the differences between popular message brokers?

What are the differences between popular message brokers?

Popular message brokers like RabbitMQ, Kafka, and ActiveMQ differ in architecture, performance, and use cases. RabbitMQ is great for complex routing, Kafka excels in high-throughput scenarios, and ActiveMQ is known for its flexibility.

Can you explain how RabbitMQ handles message delivery?

RabbitMQ uses a queue-based system where messages are sent to queues and consumers pull messages from these queues. It supports various delivery guarantees, including at-most-once, at-least-once, and exactly-once.

What about Kafka? How does it ensure message durability?

Kafka ensures message durability by writing messages to disk and replicating them across multiple brokers. This way, even if a broker fails, the messages remain available.

Which message broker would you recommend for a real-time analytics application?

For real-time analytics, Kafka is often recommended due to its high throughput and ability to handle large volumes of data efficiently.