Faktory
Faktory

4
10
+ 1
2
Fireworq
Fireworq

0
4
+ 1
0
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Faktory vs Fireworq: What are the differences?

Developers describe Faktory as "Background jobs for any language, by the makers of Sidekiq". Redis -> Sidekiq == Faktory -> Faktory. Faktory is a server daemon which provides a simple API to produce and consume background jobs. Jobs are a small JSON hash with a few mandatory keys. On the other hand, Fireworq is detailed as "A lightweight, high-performance, language-independent job queue system". Fireworq is a lightweight, high-performance job queue system available from any programming language which can talk HTTP. It works with a single binary without external dependencies.

Faktory and Fireworq can be categorized as "Background Processing" tools.

Faktory and Fireworq are both open source tools. It seems that Faktory with 3.41K GitHub stars and 136 forks on GitHub has more adoption than Fireworq with 1.77K GitHub stars and 77 GitHub forks.

What is Faktory?

Redis -> Sidekiq == Faktory -> Faktory. Faktory is a server daemon which provides a simple API to produce and consume background jobs. Jobs are a small JSON hash with a few mandatory keys.

What is Fireworq?

Fireworq is a lightweight, high-performance job queue system available from any programming language which can talk HTTP. It works with a single binary without external dependencies.
Why do developers choose Faktory?
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          What are some alternatives to Faktory and Fireworq?
          Sidekiq
          Sidekiq uses threads to handle many jobs at the same time in the same process. It does not require Rails but will integrate tightly with Rails 3/4 to make background processing dead simple.
          RabbitMQ
          RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
          Resque
          Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both.
          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.
          Hangfire
          It is an open-source framework that helps you to create, process and manage your background jobs, i.e. operations you don't want to put in your request processing pipeline. It supports all kind of background tasks – short-running and long-running, CPU intensive and I/O intensive, one shot and recurrent.
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