What are the scalability differences between RabbitMQ and Kafka?
RabbitMQ and Kafka have different scalability approaches. RabbitMQ uses a broker-based architecture, which can limit scalability under heavy loads. Kafka, on the other hand, is designed for high throughput and can scale horizontally by adding more brokers.
Can you explain how RabbitMQ handles scaling?
RabbitMQ can scale by clustering multiple nodes, but it may face challenges with message delivery guarantees and performance as the load increases.
What about Kafka's scaling capabilities?
Kafka excels in scalability due to its partitioning model, allowing it to handle large volumes of data across multiple brokers efficiently.
Which one would you recommend for a high-load application?
For high-load applications, Kafka is generally recommended due to its superior scalability and throughput capabilities.
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