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

Beanstalkd vs Que vs Sidekiq

OverviewComparisonAlternatives

Overview

Sidekiq
Sidekiq
Stacks1.2K
Followers632
Votes408
Beanstalkd
Beanstalkd
Stacks111
Followers161
Votes74
Que
Que
Stacks16
Followers20
Votes0

Beanstalkd vs Que vs Sidekiq: What are the differences?

Introduction:

Beanstalkd and Que are both job queuing systems while Sidekiq is a Ruby gem that provides a high-performance background processing framework. Below are the key differences between Beanstalkd and Que and Sidekiq.

  1. Backend technology: Beanstalkd uses a simple protocol for putting and getting jobs in and out of the queue, whereas Que uses PostgreSQL as the backend database to store and manage jobs. On the other hand, Sidekiq utilizes Redis to store job data and manage queues efficiently.

  2. Performance: Sidekiq is known for its high-performance and efficiency due to its use of Redis, which provides fast in-memory data storage and retrieval. Beanstalkd also offers good performance, but Que might experience some performance degradation when handling a large number of jobs due to the overhead of SQL queries in PostgreSQL.

  3. Ease of use: Beanstalkd is straightforward to set up and use, with a minimalist design that focuses on job queuing functionality. Que, being built on top of PostgreSQL, requires existing knowledge of SQL and might have a steeper learning curve for developers new to the technology. Sidekiq, with its versatile Ruby gem implementation, provides a simple interface and extensive documentation for easy integration and usage.

  4. Reliability: Sidekiq offers built-in support for retrying failed jobs, scheduled jobs, and job monitoring tools, making it a robust solution for critical background processing tasks. Beanstalkd lacks some of these advanced features for job management and error handling, while Que relies on PostgreSQL's transactional capabilities for job reliability.

  5. Scalability: Sidekiq's use of Redis and efficient queue management makes it highly scalable, allowing it to handle a large number of jobs and worker threads effectively. Beanstalkd also offers good scalability options with support for multiple servers and clients, while Que's reliance on PostgreSQL might limit its scalability in certain high-traffic scenarios.

  6. Community and support: Sidekiq benefits from a large and active community of developers, extensive documentation, and ongoing support from the creator. Beanstalkd and Que also have supportive communities, but they might not be as large or well-established as Sidekiq's community.

In Summary, Beanstalkd, Que, and Sidekiq differ in their backend technology, performance, ease of use, reliability, scalability, and community support, making each of them suitable for different use cases based on specific requirements and preferences.

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Detailed Comparison

Sidekiq
Sidekiq
Beanstalkd
Beanstalkd
Que
Que

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.

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
1.2K
Stacks
111
Stacks
16
Followers
632
Followers
161
Followers
20
Votes
408
Votes
74
Votes
0
Pros & Cons
Pros
  • 124
    Simple
  • 99
    Efficient background processing
  • 60
    Scalability
  • 37
    Better then resque
  • 26
    Great documentation
Pros
  • 23
    Fast
  • 12
    Does one thing well
  • 12
    Free
  • 9
    Scalability
  • 8
    Simplicity
No community feedback yet

What are some alternatives to Sidekiq, Beanstalkd, Que?

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.

Bulk Writer GPT

Bulk Writer GPT

Create unlimited articles in one go by uploading a CSV of keywords. The system handles queue management, real-time progress tracking, automatic retries for failed articles, and multi-format exports—making large-scale content creation fast, stable, and hands-free.

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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