Kafka, RabbitMQ, Amazon SQS, Celery, and Sidekiq are the most popular tools in the category “Background Jobs”. “High-throughput” is the primary reason developers pick Kafka over its competitors, while “It's fast and it works with good metrics/monitoring” is the reason why RabbitMQ was chosen.
Distributed, fault tolerant, high throughput pub-sub messaging system
A reliable system to process and distribute data
Store and process terabytes of data each hour from hundreds of thousands of sources
Reliable cloud messaging as a service (MaaS)
A library that implements a fast and robust queue system
Lightweight message bus for creating distributed applications
A stream data platform to help companies harness their high volume real-time data streams
Perform background processing in .NET and .NET Core applications
A fully-managed cloud service and programming model for batch and streaming big data processing.
A message broker written in Java together with a full JMS client
Distributed solution providing messaging and queuing for streaming data
The most scalable open-source MQTT broker for IoT, IIoT, and connected vehicles