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

Hangfire vs Sidekiq

OverviewComparisonAlternatives

Overview

Sidekiq
Sidekiq
Stacks1.2K
Followers632
Votes408
Hangfire
Hangfire
Stacks333
Followers249
Votes17
GitHub Stars9.9K
Forks1.7K

Hangfire vs Sidekiq: What are the differences?

  1. Execution Model: Hangfire is a persistent job scheduler and task orchestrator that uses background processing for executing tasks. It allows you to perform fire-and-forget, delayed, recurring, and continuations jobs, making it suitable for long-running tasks. On the other hand, Sidekiq is a background jobs framework for Ruby that uses Redis as its storage and provides a multi-threaded worker model. It processes jobs in parallel, creating multiple threads to perform concurrent execution.

  2. Language Support: Hangfire is written in C# and primarily used in .NET applications. It seamlessly integrates with popular .NET frameworks like ASP.NET, ASP.NET Core, and Xamarin. In contrast, Sidekiq is designed for Ruby applications as it is implemented in Ruby and uses Redis as a backend store for distributed processing.

  3. Scheduler Flexibility: Hangfire provides an extensive set of scheduling options, including fire-and-forget, delayed, recurring, continuations, and batch jobs. It integrates with SQL-based storages like SQL Server, MySQL, and PostgreSQL, offering persistence for jobs. Sidekiq, on the other hand, primarily supports delayed and recurring jobs out of the box. It relies on Redis as the storage backend, making it efficient for managing job queues.

  4. Monitoring and Dashboards: Hangfire provides a built-in dashboard that allows you to monitor job queues, see the execution status, and retry or delete jobs if required. Additionally, it offers detailed information about the processing time, succeeded or failed attempts, and exceptions occurred during execution. While Sidekiq offers a web interface called Sidekiq Web that provides similar functionalities, it requires an additional gem to be added to the project.

  5. Community and Ecosystem: Hangfire has a vibrant and active community in the .NET world, with extensive documentation, community forum, and third-party extensions available. It has been around for quite some time and has a stable ecosystem. Sidekiq also has a strong community support system in the Ruby community, with many third-party extensions and plugins available. However, it may not have as extensive a range of ecosystem as Hangfire due to the differences in popularity and programming languages.

  6. Performance: Hangfire is known for its scalability and ability to handle a high volume of jobs. It utilizes database or storage effectively to manage jobs, making it suitable for large-scale applications. Sidekiq, with its multi-threaded worker model and Redis backend, is also known for its performance and efficiency. It can process jobs in parallel, enabling faster execution and higher throughput.

In Summary, Hangfire and Sidekiq differ in their execution models, language support, scheduler flexibility, monitoring capabilities, community ecosystem, and performance characteristics.

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Detailed Comparison

Sidekiq
Sidekiq
Hangfire
Hangfire

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 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.

Statistics
GitHub Stars
-
GitHub Stars
9.9K
GitHub Forks
-
GitHub Forks
1.7K
Stacks
1.2K
Stacks
333
Followers
632
Followers
249
Votes
408
Votes
17
Pros & Cons
Pros
  • 124
    Simple
  • 99
    Efficient background processing
  • 60
    Scalability
  • 37
    Better then resque
  • 26
    Great documentation
Pros
  • 7
    Integrated UI dashboard
  • 5
    Simple
  • 3
    Robust
  • 2
    In Memory
  • 0
    Simole

What are some alternatives to Sidekiq, Hangfire?

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.

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.

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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