Resque vs. delayed_job vs. Que

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Description

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 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 Que?

Que is a high-performance alternative to DelayedJob or QueueClassic that improves the reliability of your application by protecting your jobs with the same ACID guarantees as the rest of your data.

Pros

Why do developers choose Resque?
Why do you like Resque?

Why do developers choose delayed_job?
Why do you like delayed_job?

Why do developers choose Que?
Why do you like Que?

Cons

What are the cons of using Resque?
No Cons submitted yet for Resque
Downsides of Resque?

What are the cons of using delayed_job?
No Cons submitted yet for delayed_job
Downsides of delayed_job?

What are the cons of using Que?
No Cons submitted yet for Que
Downsides of Que?

Pricing

How much does Resque cost?
How much does delayed_job cost?
How much does Que cost?

Companies

What companies use Resque?
34 companies on StackShare use Resque
What companies use delayed_job?
7 companies on StackShare use delayed_job
What companies use Que?
3 companies on StackShare use Que

Integrations

What tools integrate with Resque?
1 tools on StackShare integrate with Resque
No integrations listed yet
What tools integrate with Que?
1 tools on StackShare integrate with Que

What are some alternatives to Resque, delayed_job, and Que?

  • Sidekiq - Simple, efficient background processing for Ruby
  • Beanstalkd - A simple, fast work queue
  • Kue - Kue is a priority job queue backed by redis, built for node.js
  • Bull - Premium Queue package for handling jobs and messages in NodeJS

See all alternatives to Resque



Interest Over Time


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