Beanstalkd vs Resque vs Sidekiq

Overview

Resque

Stacks118

Followers126

Votes9

GitHub Stars9.5K

Forks1.7K

Sidekiq

Stacks1.2K

Followers632

Votes408

Beanstalkd

Stacks111

Followers161

Votes74

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.

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.
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.
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.
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.
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.
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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CLI (Node.js)

Manual

Detailed Comparison

Resque	Sidekiq	Beanstalkd
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.	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.
Statistics
GitHub Stars 9.5K	GitHub Stars -	GitHub Stars -
GitHub Forks 1.7K	GitHub Forks -	GitHub Forks -
Stacks 118	Stacks 1.2K	Stacks 111
Followers 126	Followers 632	Followers 161
Votes 9	Votes 408	Votes 74
Pros & Cons
Pros 5 Free 3 Scalable 1 Easy to use on heroku	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

What are some alternatives to Resque, Sidekiq, Beanstalkd?

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.

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

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 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

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

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

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

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.

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.

runit

It is a cross-platform Unix init scheme with service supervision, a replacement for sysvinit, and other init schemes. It runs on GNU/Linux, *BSD, MacOSX, Solaris, and can easily be adapted to other Unix operating systems.

Related Comparisons

Beanstalkd vs Resque vs Sidekiq: What are the differences?

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.
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.
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.
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.
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.
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.

Beanstalkd vs Resque vs Sidekiq

Overview