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

Que vs runit

OverviewComparisonAlternatives

Overview

Que
Que
Stacks16
Followers20
Votes0
runit
runit
Stacks4
Followers10
Votes0

Que vs runit: What are the differences?

Developers describe Que 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. On the other hand, runit is detailed as "Cross-platform Unix init scheme with service supervision". 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.

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

Some of the features offered by Que are:

  • Concurrency
  • Efficiency
  • Safety

On the other hand, runit provides the following key features:

  • Cross-platform
  • Service supervision
  • Easily be adapted to other Unix operating systems

Que is an open source tool with 1.5K GitHub stars and 127 GitHub forks. Here's a link to Que's open source repository on GitHub.

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Detailed Comparison

Que
Que
runit
runit

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.

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.

Concurrency; Efficiency; Safety;Transactional Control;Atomic Backups;Fewer Dependencies; Security
Cross-platform ;Service supervision;Easily be adapted to other Unix operating systems
Statistics
Stacks
16
Stacks
4
Followers
20
Followers
10
Votes
0
Votes
0
Integrations
No integrations available
Linux
Linux
FreeBSD
FreeBSD
Gentoo Linux
Gentoo Linux
macOS
macOS
Ubuntu
Ubuntu
OpenBSD
OpenBSD

What are some alternatives to Que, runit?

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.

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.

Flow-Like

Flow-Like

Mission-critical automation you can audit, control and run on-prem. No black boxes. No silent failures. No data leaks. Built for teams that cannot afford uncertainty.

Maestro

Maestro

Run AI coding agents autonomously for days. Maestro is a cross-platform desktop app for orchestrating your fleet of AI agents and projects. It's a high-velocity solution for hackers who are juggling multiple projects in parallel. Designed for power users who live on the keyboard and rarely touch the mouse. Collaborate with AI to create detailed specification documents, then let Auto Run execute them automatically, each task in a fresh session with clean context. Allowing for long-running unattended sessions, my current record is nearly 24 hours of continuous runtime. Run multiple agents in parallel with a Linear/Superhuman-level responsive interface. Currently supporting Claude Code, OpenAI Codex, and OpenCode with plans for additional agentic coding tools (Aider, Gemini CLI, Qwen3 Coder) based on user demand.

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