Faktory vs Sidekiq

Overview

Sidekiq

Stacks1.2K

Followers632

Votes408

Faktory

Stacks7

Followers27

Votes3

GitHub Stars6.0K

Forks236

Faktory vs Sidekiq: What are the differences?

Introduction:

In this Markdown code, we will provide key differences between Faktory and Sidekiq in a concise manner.

Concurrency Model: Faktory uses a decentralized, distributed, and scalable model where each job can be processed by any available worker. On the other hand, Sidekiq follows a centralized model with a single queue and multiple workers picking up jobs from the queue, which can lead to contention and bottleneck issues.
Fault Tolerance: Faktory offers built-in fault tolerance by automatically retrying failed jobs and storing job data in durable storage. It also provides job deduplication and job time-to-live features. Sidekiq, in contrast, relies on Redis for storage, which may result in job loss if the Redis server fails.
Job Prioritization: Faktory allows for job prioritization by assigning priority levels to jobs, ensuring that higher priority jobs get processed first. Sidekiq, however, does not natively support job prioritization and processes jobs in a first-in, first-out (FIFO) order.
Job Dependencies: Faktory supports job dependencies, allowing one job to depend on the completion of another job. This ensures that dependent jobs are executed only when their prerequisite jobs have successfully completed. Sidekiq does not provide native support for job dependencies.
Language Support: Faktory supports multiple programming languages, including Ruby, Python, and Node.js, enabling cross-language job processing. Sidekiq is primarily focused on Ruby and provides limited support for other languages.
Enterprise Features: Faktory offers additional enterprise features like job history tracking, job requeueing, and prioritization queues. Sidekiq, on the other hand, lacks these enterprise-level features and relies on third-party extensions for similar functionality.

In summary, Faktory differs from Sidekiq in its concurrency model, fault tolerance mechanisms, prioritization and dependency support, language versatility, and inclusion of enterprise features.

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CLI (Node.js)

Manual

Detailed Comparison

Sidekiq	Faktory
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.	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.
Statistics
GitHub Stars -	GitHub Stars 6.0K
GitHub Forks -	GitHub Forks 236
Stacks 1.2K	Stacks 7
Followers 632	Followers 27
Votes 408	Votes 3
Pros & Cons
Pros 124 Simple 99 Efficient background processing 60 Scalability 37 Better then resque 26 Great documentation	Pros 2 Worker language agnostic 1 Simple service API
Integrations
No integrations available	Node.js Ruby Python Golang Elixir PHP Java JavaScript

What are some alternatives to Sidekiq, Faktory?

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

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

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 (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.

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.

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Faktory vs Sidekiq: What are the differences?

Introduction:

In this Markdown code, we will provide key differences between Faktory and Sidekiq in a concise manner.

Concurrency Model: Faktory uses a decentralized, distributed, and scalable model where each job can be processed by any available worker. On the other hand, Sidekiq follows a centralized model with a single queue and multiple workers picking up jobs from the queue, which can lead to contention and bottleneck issues.
Fault Tolerance: Faktory offers built-in fault tolerance by automatically retrying failed jobs and storing job data in durable storage. It also provides job deduplication and job time-to-live features. Sidekiq, in contrast, relies on Redis for storage, which may result in job loss if the Redis server fails.
Job Prioritization: Faktory allows for job prioritization by assigning priority levels to jobs, ensuring that higher priority jobs get processed first. Sidekiq, however, does not natively support job prioritization and processes jobs in a first-in, first-out (FIFO) order.
Job Dependencies: Faktory supports job dependencies, allowing one job to depend on the completion of another job. This ensures that dependent jobs are executed only when their prerequisite jobs have successfully completed. Sidekiq does not provide native support for job dependencies.
Language Support: Faktory supports multiple programming languages, including Ruby, Python, and Node.js, enabling cross-language job processing. Sidekiq is primarily focused on Ruby and provides limited support for other languages.
Enterprise Features: Faktory offers additional enterprise features like job history tracking, job requeueing, and prioritization queues. Sidekiq, on the other hand, lacks these enterprise-level features and relies on third-party extensions for similar functionality.

In summary, Faktory differs from Sidekiq in its concurrency model, fault tolerance mechanisms, prioritization and dependency support, language versatility, and inclusion of enterprise features.