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

Kue vs Sidekiq

OverviewComparisonAlternatives

Overview

Sidekiq
Sidekiq
Stacks1.2K
Followers632
Votes408
Kue
Kue
Stacks51
Followers88
Votes2
GitHub Stars9.5K
Forks871

Kue vs Sidekiq: What are the differences?

Key Differences between Kue and Sidekiq

Kue and Sidekiq are both job processing libraries for Node.js and Ruby, respectively. While they have some similarities, they also have distinct differences that may influence the choice of one over the other for specific use cases. Below are the key differences between Kue and Sidekiq:

  1. Persistence and Storage: One significant difference between Kue and Sidekiq lies in how they handle job persistence and storage. Kue uses Redis as its default storage mechanism, allowing for easy job tracking, prioritization, and recovery in case of failures. On the other hand, Sidekiq relies on Redis for job queueing but uses SQL databases, such as PostgreSQL or MySQL, as its storage mechanism. This design choice in storage has implications for scalability, data querying, and flexibility in handling job metadata.

  2. Job Prioritization: Kue provides built-in support for job prioritization, allowing users to assign different priorities to jobs based on their importance or urgency. This feature enables the processing of critical tasks first, improving overall system responsiveness. In contrast, Sidekiq does not natively support job prioritization out of the box. Users must implement custom prioritization logic or rely on third-party extensions to achieve similar functionality.

  3. Concurrency Control: Sidekiq offers a powerful concurrency control mechanism that allows users to fine-tune the number of workers processing jobs concurrently. By configuring the maximum number of allowed threads or processes, Sidekiq enables efficient resource utilization and optimal performance. Kue, however, does not provide built-in concurrency control. It operates on a first-in, first-out (FIFO) basis, processing jobs as they come in with no explicit control over concurrent job execution.

  4. Web Interface: Kue includes a web-based user interface to monitor and manage jobs. This interface provides a dashboard to view job statuses, track their progress, and gain insights into worker performance. Sidekiq, on the other hand, does not have a built-in web interface. Users need to rely on third-party extensions like Sidekiq Enterprise or utilize additional tools to monitor and manage Sidekiq jobs effectively.

  5. Redis Dependency: Kue is tightly coupled with Redis, requiring a functioning Redis server to operate. Redis provides the job queue, job storage, and pub/sub services. In contrast, Sidekiq relies on Redis only for job queueing and uses relational databases for job storage. This dependence on Redis for core functionality makes Kue a preferred choice when Redis is already a part of the application infrastructure or when real-time pub/sub capabilities are desired.

  6. Framework Integration: While Kue is a standalone library, Sidekiq is designed specifically for integration with the Ruby on Rails framework. Sidekiq seamlessly integrates into Rails applications, providing features like automatic instrumentation, error tracking, and enhanced Rails-specific functionality. Kue, being a standalone library, can be used with any Node.js application, regardless of the framework or environment.

In Summary, Kue and Sidekiq differ in how they handle job persistence, prioritization, concurrency control, job monitoring, Redis dependency, and framework integration. Choosing between them depends on specific needs, preferences, and the existing technology stack.

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Detailed Comparison

Sidekiq
Sidekiq
Kue
Kue

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.

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.

Statistics
GitHub Stars
-
GitHub Stars
9.5K
GitHub Forks
-
GitHub Forks
871
Stacks
1.2K
Stacks
51
Followers
632
Followers
88
Votes
408
Votes
2
Pros & Cons
Pros
  • 124
    Simple
  • 99
    Efficient background processing
  • 60
    Scalability
  • 37
    Better then resque
  • 26
    Great documentation
Pros
  • 2
    Simple

What are some alternatives to Sidekiq, Kue?

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.

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.

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.

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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