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Hutch
Hutch

3
5
+ 1
0
Kestrel
Kestrel

12
9
+ 1
0
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Hutch vs Kestrel: What are the differences?

Developers describe Hutch as "Inter-Service Communication with RabbitMQ". Hutch is a Ruby library for enabling asynchronous inter-service communication in a service-oriented architecture, using RabbitMQ. On the other hand, Kestrel is detailed as "Simple, distributed message queue system". Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.

Hutch and Kestrel can be categorized as "Message Queue" tools.

Some of the features offered by Hutch are:

  • A simple way to define consumers (queues are automatically created and bound to the exchange with the appropriate binding keys)
  • An executable and CLI for running consumers (akin to rake resque:work)
  • Automatic setup of the central exchange

On the other hand, Kestrel provides the following key features:

  • Written by Robey Pointer
  • Starling clone written in Scala (a port of Starling from Ruby to Scala)
  • Queues are stored in memory, but logged on disk

Hutch and Kestrel are both open source tools. Kestrel with 2.8K GitHub stars and 326 forks on GitHub appears to be more popular than Hutch with 712 GitHub stars and 103 GitHub forks.

What is Hutch?

Hutch is a Ruby library for enabling asynchronous inter-service communication in a service-oriented architecture, using RabbitMQ.

What is Kestrel?

Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.
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            What are some alternatives to Hutch and Kestrel?
            RabbitMQ
            RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
            Kafka
            Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
            Amazon SQS
            Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
            Celery
            Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
            ActiveMQ
            Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
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