Beanstalkd vs delayed_job vs Resque

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Beanstalkd

111
160
+ 1
74
delayed_job

51
64
+ 1
6
Resque

118
125
+ 1
9

Beanstalkd vs Resque vs delayed_job: What are the differences?

Introduction:

Beanstalkd, Resque, and delayed_job are popular background job processing systems used in web development to handle tasks asynchronously. Each system has its own set of features and advantages, making them suitable for various use cases.

  1. Concurrency Model: Beanstalkd follows a job queue model where jobs are pushed into a queue and multiple workers can process them concurrently. On the other hand, Resque and delayed_job are based on a worker model where each worker processes one job at a time. This difference affects how jobs are executed and managed in each system.

  2. Storage Backend: Resque and delayed_job rely on Redis as their storage backend, using Redis data structures to manage job queues and worker states. In contrast, Beanstalkd uses its own custom protocol and storage mechanism, providing a lightweight and efficient solution for job processing.

  3. Dependencies and Ecosystem: Resque and delayed_job are tightly integrated with Ruby on Rails, making them popular choices for Ruby-based projects. Beanstalkd, on the other hand, has clients available in multiple languages, allowing it to be used in a wider range of applications beyond just Ruby.

  4. Job Prioritization: Beanstalkd supports job prioritization, allowing high-priority jobs to be processed before lower-priority ones. This feature is not natively available in Resque and delayed_job, which may impact the order in which jobs are executed.

  5. Monitoring and Administration: Resque includes a web interface for monitoring job queues, workers, and overall system status. Delayed_job also provides monitoring tools, but they are not as extensive as those available in Resque. Beanstalkd lacks built-in monitoring features, requiring additional tools or custom solutions for administration.

  6. Scalability and Performance: Beanstalkd is known for its speed and scalability, making it a good choice for applications that require high throughput and low latency. Resque and delayed_job are more suitable for smaller applications or projects that do not have stringent performance requirements.

In Summary, Beanstalkd, Resque, and delayed_job offer different approaches to background job processing, each with its own strengths and limitations. Developers should consider the specific needs of their project when choosing a system for handling asynchronous tasks.

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Pros of Beanstalkd
Pros of delayed_job
Pros of Resque
  • 23
    Fast
  • 12
    Free
  • 12
    Does one thing well
  • 9
    Scalability
  • 8
    Simplicity
  • 3
    External admin UI developer friendly
  • 3
    Job delay
  • 2
    Job prioritization
  • 2
    External admin UI
  • 3
    Easy to get started
  • 2
    Reliable
  • 1
    Doesn't require Redis
  • 5
    Free
  • 3
    Scalable
  • 1
    Easy to use on heroku

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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 delayed_job?

Delayed_job (or DJ) encapsulates the common pattern of asynchronously executing longer tasks in the background. It is a direct extraction from Shopify where the job table is responsible for a multitude of core tasks.

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.

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What companies use Beanstalkd?
What companies use delayed_job?
What companies use Resque?

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What tools integrate with Beanstalkd?
What tools integrate with delayed_job?
What tools integrate with Resque?
    No integrations found
      No integrations found
      What are some alternatives to Beanstalkd, delayed_job, and Resque?
      RabbitMQ
      RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
      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.
      Kafka
      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
      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.
      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.
      See all alternatives