RabbitMQ vs Apache Kafka

RabbitMQ uses a distinct, bounded data flow. Messages are created and sent by the producer and received by the consumer. Apache Kafka uses an unbounded data flow, with the key-value pairs continuously streaming to the assigned topic.

1. What are the differences between Apache Kafka and RabbitMQ?
2. Which is better RabbitMQ or Kafka?
3. Why is Kafka better than MQ?
4. When should you use Apache Kafka?
5. Is RabbitMQ push or pull?
6. Is RabbitMQ a database?
7. Is RabbitMQ fast?
8. Why Kafka is faster?
9. Who invented Kafka?
10. What is Kafka good for?
11. What is difference between JMS and MQ?
12. Is Kafka pull or push?

What are the differences between Apache Kafka and RabbitMQ?

RabbitMQ is a general purpose message broker that supports protocols including, MQTT, AMQP, and STOMP. ... Kafka is a durable message broker that enables applications to process, persist and re-process streamed data. Kafka has a straightforward routing approach that uses a routing key to send messages to a topic.

Which is better RabbitMQ or Kafka?

RabbitMQ's queues are fastest when they're empty, while Kafka is designed for holding and distributing large volumes of messages. Kafka retains large amounts of data with very little overhead. People that are trying out RabbitMQ are probably not aware of the the feature lazy queues.

Why is Kafka better than MQ?

Apache Kafka is ideal for teams that value speed and performance highly. IBM MQ is a robust traditional message queue system, but it doesn't match the speed of Apache Kafka. Users should expect messages to take longer to complete in IBM MQ and will have a harder time using it to log events.

When should you use Apache Kafka?

You can use Kafka to replicate data between nodes, to re-sync for nodes, and to restore state. While Kafka is mostly used for real-time data analytics and stream processing, you can also use it for log aggregation, messaging, click-stream tracking, audit trails, and much more.

Is RabbitMQ push or pull?

RabbitMQ uses a push model and prevents overwhelming consumers via the consumer configured prefetch limit. This is great for low latency messaging and works well for RabbitMQ's queue based architecture. Kafka on the other hand uses a pull model where consumers request batches of messages from a given offset.

Is RabbitMQ a database?

Indeed RabbitMQ deliberately does not store messages in such a database. ... Some databases or key-value stores write disk contents by initially writing a snapshot of their entire data set, and then writing deltas to that data set.

Is RabbitMQ fast?

RabbitMQ can handle ~950 per second in and out.

Why Kafka is faster?

Compression & Batching of Data: Kafka batches the data into chunks which helps in reducing the network calls and converting most of the random writes to sequential ones. It's more efficient to compress a batch of data as compared to compressing individual messages.

Who invented Kafka?

Apache Kafka

What is Kafka good for?

If you're unfamiliar with Kafka, it's a scalable, fault-tolerant, publish-subscribe messaging system that enables you to build distributed applications and powers web-scale Internet companies such as LinkedIn, Twitter, AirBnB, and many others.

What is difference between JMS and MQ?

MQ can act as a native queue mechanism or a transport for JMS messages. The difference being that JMS messages have some standard header fields at the begining of the message buffer and "native" mq messages contain just the data your program sent to the buffer.

Is Kafka pull or push?

With Kafka consumers pull data from brokers. Other systems brokers push data or stream data to consumers. ... Since Kafka is pull-based, it implements aggressive batching of data. Kafka like many pull based systems implements a long poll (SQS, Kafka both do).