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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Background Processing
  5. Beanstalkd vs Que

Beanstalkd vs Que

OverviewComparisonAlternatives

Overview

Beanstalkd
Beanstalkd
Stacks111
Followers161
Votes74
Que
Que
Stacks16
Followers20
Votes0

Beanstalkd vs Que: What are the differences?

Developers describe Beanstalkd as "A simple, fast work queue". 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. On the other hand, Que is detailed as "A Ruby job queue that uses PostgreSQL's advisory locks for speed and reliability". 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.

Beanstalkd and Que can be categorized as "Background Processing" tools.

Beanstalkd and Que are both open source tools. It seems that Beanstalkd with 5.12K GitHub stars and 748 forks on GitHub has more adoption than Que with 1.47K GitHub stars and 122 GitHub forks.

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Detailed Comparison

Beanstalkd
Beanstalkd
Que
Que

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.

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.

-
Concurrency; Efficiency; Safety;Transactional Control;Atomic Backups;Fewer Dependencies; Security
Statistics
Stacks
111
Stacks
16
Followers
161
Followers
20
Votes
74
Votes
0
Pros & Cons
Pros
  • 23
    Fast
  • 12
    Does one thing well
  • 12
    Free
  • 9
    Scalability
  • 8
    Simplicity
No community feedback yet

What are some alternatives to Beanstalkd, Que?

Sidekiq

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.

Hangfire

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.

Resque

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.

delayed_job

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.

Faktory

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.

Kue

Kue

Kue is a feature rich priority job queue for node.js backed by redis. A key feature of Kue is its clean user-interface for viewing and managing queued, active, failed, and completed jobs.

Bull

Bull

The fastest, most reliable, Redis-based queue for Node. Carefully written for rock solid stability and atomicity.

Cron

Cron

Background-only application which launches and runs other applications, or opens documents, at specified dates and times.

PHP-FPM

PHP-FPM

It is an alternative PHP FastCGI implementation with some additional features useful for sites of any size, especially busier sites. It includes Adaptive process spawning, Advanced process management with graceful stop/start, Emergency restart in case of accidental opcode cache destruction etc.

Goose

Goose

It is a simple, reliable & scalable background processing library for Clojure. It has a transparent design & cloud-native architecture.

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