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  4. Message Queue
  5. Apache NiFi vs Hutch

Apache NiFi vs Hutch

OverviewComparisonAlternatives

Overview

Hutch
Hutch
Stacks7
Followers9
Votes0
Apache NiFi
Apache NiFi
Stacks393
Followers692
Votes65

Apache NiFi vs Hutch: What are the differences?

Developers describe Apache NiFi as "A reliable system to process and distribute data". 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. On the other hand, Hutch is detailed as "Inter-Service Communication with RabbitMQ". Hutch is a Ruby library for enabling asynchronous inter-service communication in a service-oriented architecture, using RabbitMQ.

Apache NiFi and Hutch are primarily classified as "Stream Processing" and "Message Queue" tools respectively.

Hutch is an open source tool with 712 GitHub stars and 103 GitHub forks. Here's a link to Hutch's open source repository on GitHub.

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Detailed Comparison

Hutch
Hutch
Apache NiFi
Apache NiFi

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

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.

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
Web-based user interface; Highly configurable; Data Provenance; Designed for extension; Secure
Statistics
Stacks
7
Stacks
393
Followers
9
Followers
692
Votes
0
Votes
65
Pros & Cons
No community feedback yet
Pros
  • 17
    Visual Data Flows using Directed Acyclic Graphs (DAGs)
  • 8
    Free (Open Source)
  • 7
    Simple-to-use
  • 5
    Reactive with back-pressure
  • 5
    Scalable horizontally as well as vertically
Cons
  • 2
    Memory-intensive
  • 2
    HA support is not full fledge
  • 1
    Kkk
Integrations
RabbitMQ
RabbitMQ
MongoDB
MongoDB
Amazon SNS
Amazon SNS
Amazon S3
Amazon S3
Linux
Linux
Amazon SQS
Amazon SQS
Kafka
Kafka
Apache Hive
Apache Hive
macOS
macOS

What are some alternatives to Hutch, Apache NiFi?

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.

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.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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