Which is better Kafka or RabbitMQ?

Kafka offers much higher performance than message brokers like RabbitMQ. It uses sequential disk I/O to boost performance, making it a suitable option for implementing queues. It can achieve high throughput (millions of messages per second) with limited resources, a necessity for big data use cases.

What is the difference between RabbitMQ and Kafka?

RabbitMQ is best for transactional data, such as order formation and placement, and user requests. Kafka works best with operational data like process operations, auditing and logging statistics, and system activity.

What is difference between Kafka and message queue?

Types of Message Programming JMS queue works on push type where the enterprise can send messages to their customers. On the other hand, Kafka is a pull type message system in which customers can pull messages from the broker.

Why Kafka is better than MQ?

IBM MQ vs Kafka: Performance Factors Throughput: Kafka is recommended for applications that demand high throughput or interaction with a big data stack. On the other hand, IBM MQ is best suited for applications that require a high level of reliability and cannot tolerate message loss.

Can we replace RabbitMQ with Kafka?

1. The use of a standardized message protocol allows you to replace your RabbitMQ broker with any AMQP based broker. Kafka uses a custom protocol, on top of TCP/IP for communication between applications and the cluster. Kafka can’t simply be removed and replaced, since its the only software implementing this protocol.

Is ZeroMQ TCP or UDP?

To begin, instead of being stream (TCP), or datagram (UDP) oriented, ZeroMQ communication is message-oriented. This means that if a client socket sends a 150kb message, then the server socket will receive a complete, identical message on the other end without having to implement any explicit buffering or framing.

How Kafka is different from MQ?

IBM MQ vs Kafka: Use Cases As a conventional Message Queue, IBM MQ has more features than Kafka. IBM MQ also supports JMS, making it a more convenient alternative to Kafka. Kafka, on the other side, is better suited to large data frameworks such as Lambda. Kafka also has connectors and provides stream processing.