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Gearman

75
144
+ 1
45
Starling

8
11
+ 1
0
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Gearman vs Starling: What are the differences?

What is Gearman? A generic application framework to farm out work to other machines or processes. 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.

What is Starling? A light weight server for reliable distributed message passing. Starling is a powerful but simple messaging server that enables reliable distributed queuing with an absolutely minimal overhead. It speaks the MemCache protocol for maximum cross-platform compatibility. Any language that speaks MemCache can take advantage of Starling's queue facilities.

Gearman and Starling belong to "Message Queue" category of the tech stack.

Some of the features offered by Gearman are:

  • Open Source It’s free! (in both meanings of the word) Gearman has an active open source community that is easy to get involved with if you need help or want to contribute. Worried about licensing? Gearman is BSD
  • Multi-language - There are interfaces for a number of languages, and this list is growing. You also have the option to write heterogeneous applications with clients submitting work in one language and workers performing that work in another
  • Flexible - You are not tied to any specific design pattern. You can quickly put together distributed applications using any model you choose, one of those options being Map/Reduce

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

  • Written by Blaine Cook at Twitter
  • Starling is a Message Queue Server based on MemCached
  • Written in Ruby

Starling is an open source tool with 468 GitHub stars and 63 GitHub forks. Here's a link to Starling's open source repository on GitHub.

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Pros of Gearman
Pros of Starling
  • 11
    Ease of use and very simple APIs
  • 11
    Free
  • 6
    Polyglot
  • 5
    No single point of failure
  • 3
    Scalable
  • 3
    High-throughput
  • 2
    Foreground & background processing
  • 2
    Very fast
  • 1
    Different Programming Languages Channel
  • 1
    Many supported programming languages
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    - No public GitHub repository available -

    What is 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.

    What is Starling?

    Starling is a powerful but simple messaging server that enables reliable distributed queuing with an absolutely minimal overhead. It speaks the MemCache protocol for maximum cross-platform compatibility. Any language that speaks MemCache can take advantage of Starling's queue facilities.

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    What companies use Gearman?
    What companies use Starling?
    See which teams inside your own company are using Gearman or Starling.
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    What tools integrate with Gearman?
    What tools integrate with Starling?
      No integrations found
      What are some alternatives to Gearman and Starling?
      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.
      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.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Beanstalkd
      Beanstalks's interface is generic, but was originally designed for reducing the latency of page views in high-volume web applications by running time-consuming tasks asynchronously.
      See all alternatives