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

Sidekiq vs Subserver

OverviewComparisonAlternatives

Overview

Sidekiq
Sidekiq
Stacks1.2K
Followers632
Votes408
Subserver
Subserver
Stacks1
Followers0
Votes0
GitHub Stars9
Forks4

Sidekiq vs Subserver: What are the differences?

# Introduction
This Markdown code provides a comparison between Sidekiq and Subserver, highlighting key differences between the two.

# 1. Scalability:
Sidekiq is known for scalability, allowing multiple queues to be processed concurrently, while Subserver might have limitations in handling high volumes of jobs due to its single-threaded nature.

# 2. Persistence:
Sidekiq uses Redis for job persistence, ensuring that jobs are not lost even during system failures, whereas Subserver may rely on less robust methods for job persistence.

# 3. Community Support:
Sidekiq has a larger and more active community, providing better resources, documentation, and support compared to Subserver, which may have a smaller user base and limited community contributions.

# 4. Performance:
In terms of performance, Sidekiq is generally faster in processing jobs and has been optimized for efficient job execution, whereas Subserver might have slower processing speeds due to its architecture.

# 5. Ecosystem Integration:
Sidekiq integrates seamlessly with other tools and frameworks in the Ruby ecosystem, offering greater compatibility and flexibility, while Subserver might have limited integration options or require additional work for compatibility with existing systems.

# 6. Maintenance and Upkeep:
Sidekiq typically receives regular updates and improvements, ensuring stability and security, whereas Subserver may have less frequent updates or lack ongoing maintenance support, potentially leading to issues in the long run.

In Summary, this Markdown code highlights key differences between Sidekiq and Subserver in terms of scalability, persistence, community support, performance, ecosystem integration, and maintenance.

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Detailed Comparison

Sidekiq
Sidekiq
Subserver
Subserver

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.

It is a background server process for processing messages from Google Pub/Sub. It was designed to be an efficient, configurable process that easily integrates into any ruby app.

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Threaded multi-subscription support; Message processing middleware; Auto subscriber loading; Per subscriber configuration; Error handling and logging
Statistics
GitHub Stars
-
GitHub Stars
9
GitHub Forks
-
GitHub Forks
4
Stacks
1.2K
Stacks
1
Followers
632
Followers
0
Votes
408
Votes
0
Pros & Cons
Pros
  • 124
    Simple
  • 99
    Efficient background processing
  • 60
    Scalability
  • 37
    Better then resque
  • 26
    Great documentation
No community feedback yet
Integrations
No integrations available
Google Cloud Pub/Sub
Google Cloud Pub/Sub

What are some alternatives to Sidekiq, Subserver?

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.

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.

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