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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Background Processing
  5. Bull vs Kue vs Resque

Bull vs Kue vs Resque

OverviewComparisonAlternatives

Overview

Resque
Resque
Stacks118
Followers126
Votes9
GitHub Stars9.5K
Forks1.7K
Kue
Kue
Stacks51
Followers88
Votes2
GitHub Stars9.5K
Forks871
Bull
Bull
Stacks92
Followers113
Votes1
GitHub Stars16.2K
Forks1.4K

Bull vs Kue vs Resque: What are the differences?

Introduction: In the realm of job processing and queue management, Bull, Kue, and Resque are popular choices. However, they have distinct differences that make each of them unique in their own right.

1. Architecture and Language Support: Bull is written in TypeScript and offers a simple, yet powerful API for job processing. Kue, on the other hand, is written in Node.js and provides a user-friendly interface for managing jobs efficiently. Resque, built on Ruby, offers a robust architecture with support for job scheduling and retry mechanisms.

2. Monitoring and Scaling Capabilities: Bull provides built-in monitoring features and scales well with the ability to handle high volumes of jobs effortlessly. Kue lacks advanced monitoring capabilities and may require additional tools for scaling effectively. Resque excels in monitoring and scaling, making it a preferred choice for large-scale applications.

3. Database and Redis Integration: Bull relies on Redis for job queueing and persistence, providing seamless integration with a reliable database system. Kue also relies on Redis for job storage but may not offer as advanced data persistence options as Bull. Resque integrates with Redis as well, leveraging its power for efficient job management.

4. Community Support and Documentation: Bull boasts a growing community and comprehensive documentation that aids developers in understanding and implementing job processing effectively. Kue has a loyal user base but may lack extensive documentation and community support compared to Bull. Resque, being a popular choice in the Ruby community, offers strong community support and well-structured documentation.

5. Customization and Extensibility: Bull offers a high level of customization with the ability to extend functionalities easily through plugins and extensions. Kue provides some customization options but may not be as flexible or extensible as Bull. Resque, being highly customizable, allows developers to tailor job processing to their specific needs with ease.

6. Performance and Reliability: Bull is known for its high performance and reliability, making it suitable for mission-critical applications that require fast and efficient job processing. Kue also performs well but may face scalability challenges in demanding environments. Resque is renowned for its reliability and performance, making it a top choice for organizations with performance-critical applications.

In Summary, Bull, Kue, and Resque differ in architecture, monitoring capabilities, database integration, community support, customization, and performance, catering to diverse needs in the realm of job processing and queue management.

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Detailed Comparison

Resque
Resque
Kue
Kue
Bull
Bull

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.

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.

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

--
Minimal CPU usage due to a polling-free design.; Robust design based on Redis.; Delayed jobs.; Schedule and repeat jobs according to a cron specification.; Rate limiter for jobs.; Retries.; Priority.; Concurrency.; Pause/resume—globally or locally.; Multiple job types per queue.; Threaded (sandboxed) processing functions.; Automatic recovery from process crashes.
Statistics
GitHub Stars
9.5K
GitHub Stars
9.5K
GitHub Stars
16.2K
GitHub Forks
1.7K
GitHub Forks
871
GitHub Forks
1.4K
Stacks
118
Stacks
51
Stacks
92
Followers
126
Followers
88
Followers
113
Votes
9
Votes
2
Votes
1
Pros & Cons
Pros
  • 5
    Free
  • 3
    Scalable
  • 1
    Easy to use on heroku
Pros
  • 2
    Simple
Pros
  • 1
    Ease of use
Integrations
No integrations availableNo integrations available
Node.js
Node.js

What are some alternatives to Resque, Kue, Bull?

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.

Beanstalkd

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.

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.

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.

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.

Que

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.

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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