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

Hutch vs Samza

OverviewComparisonAlternatives

Overview

Samza
Samza
Stacks24
Followers62
Votes0
GitHub Stars832
Forks333
Hutch
Hutch
Stacks7
Followers9
Votes0

Hutch vs Samza: What are the differences?

Hutch: Inter-Service Communication with RabbitMQ. Hutch is a Ruby library for enabling asynchronous inter-service communication in a service-oriented architecture, using RabbitMQ; Samza: A distributed stream processing framework. Samza allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka.

Hutch and Samza can be primarily classified 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, Samza provides the following key features:

  • HIGH PERFORMANCE
  • HORIZONTALLY SCALABLE
  • EASY TO OPERATE

Hutch and Samza are both open source tools. Hutch with 713 GitHub stars and 104 forks on GitHub appears to be more popular than Samza with 565 GitHub stars and 243 GitHub forks.

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Detailed Comparison

Samza
Samza
Hutch
Hutch

It allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka.

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

HIGH PERFORMANCE; HORIZONTALLY SCALABLE; EASY TO OPERATE; WRITE ONCE, RUN ANYWHERE; PLUGGABLE ARCHITECTURE
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
GitHub Stars
832
GitHub Stars
-
GitHub Forks
333
GitHub Forks
-
Stacks
24
Stacks
7
Followers
62
Followers
9
Votes
0
Votes
0
Integrations
Presto
Presto
Datadog
Datadog
Woopra
Woopra
RabbitMQ
RabbitMQ

What are some alternatives to Samza, 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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