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Is Kafka same as RabbitMQ?
Kafka is a newer tool, released in 2011, which, from the onset, was built for streaming scenarios. 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.
Should I use Kafka or RabbitMQ?
Kafka has a very simple routing approach. RabbitMQ has better options if you need to route your messages in complex ways to your consumers. Use Kafka if you need to support batch consumers that could be offline or consumers that want messages at low latency.
What problem does Apache Kafka solve?
The problem they originally set out to solve was low-latency ingestion of large amounts of event data from the LinkedIn website and infrastructure into a lambda architecture that harnessed Hadoop and real-time event processing systems. The key was the “real-time” processing.
When should I use RabbitMQ?
RabbitMQ is therefore ideal for long-running tasks or blocking tasks, allowing web servers to respond quickly to requests instead of being forced to perform computationally intensive tasks on the spot. RabbitMQ simply stores messages and passes them to consumers when ready.
Why use Kafka over MQ?
Apache Kafka is designed to enable the streaming of real time data feeds and is an open source tool that users can access for free. IBM MQ is a traditional message queue system that allows multiple subscribers to pull messages from the end of the queue.
Is RabbitMQ exactly once?
In RabbitMQ, exactly-once delivery is not supported due to the combination of complex routing and the push-based delivery. Generally, it’s recommended to use at-least-once delivery with idempotent consumers.
Why Apache Kafka is used?
Apache Kafka is used for both real-time and batch data processing, and is the chosen event log technology for Amadeus microservice-based streaming applications. Kafka is also used for operational use cases such as application logs collection.
Do I really need RabbitMQ?
You get a lot of things from RabbitMQ. You can send messages persistently with guaranteed delivery so they will arrive even if your app crashes, and even if the RabbitMQ broker ends up being restarted. You get load balancing between message consumers if you have multiple consumers on the same queue.
What is the difference between KSQL and ksqlDB?
For the purposes of this topic, “ksqlDB” refers to ksqlDB 0.6. 0 and beyond, and “KSQL” refers to all previous releases of KSQL (5.3 and lower). ksqlDB is not backward compatible with previous versions of KSQL. This means that, ksqlDB doesn’t run over an existing KSQL deployment.