What are the scalability differences between Kafka and RabbitMQ?
Kafka is designed for high throughput and can handle large volumes of data, making it highly scalable. RabbitMQ, while also scalable, is more suited for complex routing and message delivery patterns.
Can you explain how Kafka achieves its scalability?
Kafka achieves scalability through partitioning, allowing data to be distributed across multiple brokers. This enables parallel processing and increases throughput.
What about RabbitMQ? How does it scale?
RabbitMQ scales by clustering multiple nodes together, allowing for load balancing and redundancy. It also supports sharding for distributing queues.
Which one would you recommend for a high-load application?
For a high-load application, Kafka is often recommended due to its ability to handle massive data streams efficiently.
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