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Beanstalkd vs Resque vs Sidekiq: What are the differences?

Introduction: In the realm of job queue systems, there are notable differences between Beanstalkd, Resque, and Sidekiq that are crucial to understand before deciding which one to use for your project.

  1. Concurrency Model: Beanstalkd follows a single-process, single-threaded model, while Resque and Sidekiq are both multi-process, multi-threaded systems. This means that Beanstalkd is more lightweight but may not perform as well under heavy loads compared to Resque and Sidekiq.

  2. Storage Backend: Beanstalkd utilizes a memory-mapped file for storage, making it faster for smaller jobs but potentially limited by system memory. On the other hand, Resque uses Redis as its storage backend, providing persistence and scalability. Sidekiq also leverages Redis for storage but adds additional features like batching and job processing strategies.

  3. Job Dependencies: Beanstalkd lacks built-in support for job dependencies, requiring custom logic to handle tasks that rely on the completion of other jobs. In contrast, Resque and Sidekiq offer features for managing job dependencies, facilitating complex workflows in a more streamlined manner.

  4. Monitoring and Administration: Resque and Sidekiq come with web interfaces for monitoring job queues, viewing statistics, and managing workers. Beanstalkd, while efficient in processing tasks, lacks a built-in monitoring interface, necessitating the use of third-party tools for monitoring and administration.

  5. Community and Ecosystem: Resque, being an older system with a stable codebase, has a large community and extensive ecosystem of plugins and extensions. Sidekiq, on the other hand, benefits from ongoing development and active community support, offering frequent updates and new features. Beanstalkd has a smaller community compared to Resque and Sidekiq, resulting in fewer resources and plugins to enhance its functionality.

  6. Performance: Sidekiq boasts superior performance compared to both Beanstalkd and Resque due to its highly optimized design and reliance on efficient communication channels. However, Resque still provides competitive performance, while Beanstalkd may struggle in high-throughput environments due to its single-threaded nature.

In Summary, understanding the key differences between Beanstalkd, Resque, and Sidekiq is crucial for making an informed decision on which job queue system best fits the requirements of your project.

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Pros of Beanstalkd
Pros of Resque
Pros of Sidekiq
  • 23
  • 12
  • 12
    Does one thing well
  • 9
  • 8
  • 3
    External admin UI developer friendly
  • 3
    Job delay
  • 2
    Job prioritization
  • 2
    External admin UI
  • 5
  • 3
  • 1
    Easy to use on heroku
  • 124
  • 99
    Efficient background processing
  • 60
  • 37
    Better then resque
  • 26
    Great documentation
  • 15
    Admin tool
  • 14
    Great community
  • 8
    Integrates with redis automatically, with zero config
  • 7
    Stupidly simple to integrate and run on Rails/Heroku
  • 7
    Great support
  • 3
  • 3
  • 2
    Pro version
  • 1
    Dashboard w/live polling
  • 1
    Great ecosystem of addons
  • 1

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What is 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.

What is 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.

What is 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.

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What companies use Resque?
What companies use Sidekiq?

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What tools integrate with Beanstalkd?
What tools integrate with Resque?
What tools integrate with Sidekiq?
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    Blog Posts

    Jun 6 2019 at 5:11PM


    What are some alternatives to Beanstalkd, Resque, and Sidekiq?
    RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
    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.
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    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.
    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.
    See all alternatives