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Faktory

6
27
+ 1
3
Fireworq

0
12
+ 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.

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Pros of Faktory
Pros of Fireworq
  • 2
    Worker language agnostic
  • 1
    Simple service API
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    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.

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    What companies use Faktory?
    What companies use Fireworq?
      No companies found
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      What tools integrate with Faktory?
      What tools integrate with Fireworq?

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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.
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      See all alternatives