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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. Hutch vs Kestrel

Hutch vs Kestrel

OverviewComparisonAlternatives

Overview

Kestrel
Kestrel
Stacks37
Followers58
Votes0
Hutch
Hutch
Stacks7
Followers9
Votes0

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.

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Detailed Comparison

Kestrel
Kestrel
Hutch
Hutch

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

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
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;Sensible out-of-the-box configuration (e.g. durable messages, persistent queues, message acknowledgements);Management of queue subscriptions;Rails integration;Configurable exception handling
Statistics
Stacks
37
Stacks
7
Followers
58
Followers
9
Votes
0
Votes
0
Integrations
No integrations available
RabbitMQ
RabbitMQ

What are some alternatives to Kestrel, Hutch?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

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.

Amazon SQS

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.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

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.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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