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
Store and process terabytes of data each hour from hundreds of thousands of sources
A machine-to-machine Internet of Things connectivity protocol
A library that implements a fast and robust queue system
Fully managed, highly available, and secure Apache Kafka service
The most scalable open-source MQTT broker for IoT, IIoT, and connected vehicles
A message broker written in Java together with a full JMS client
Distributed solution providing messaging and queuing for streaming data
Distributed and fault-tolerant realtime computation
A reliable system to process and distribute data
Reliable cloud messaging as a service (MaaS)
Lightweight message bus for creating distributed applications
A stream data platform to help companies harness their high volume real-time data streams