Software Alternatives & Reviews

Resque VS Waveguide

Compare Resque VS Waveguide and see what are their differences

Resque logo Resque

Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.

Waveguide logo Waveguide

A massive design knowledge bank
  • Resque Landing page
    Landing page //
    2023-10-04
  • Waveguide Landing page
    Landing page //
    2021-10-13

Resque

Categories
  • Data Integration
  • Stream Processing
  • Ruby On Rails
  • Web Service Automation
Website github.com
Pricing URL-

Waveguide

Categories
  • Design Tools
  • User Experience
  • Color Palette Generator
  • Ruby On Rails
Website ww12.waveguide.io
Pricing URL Official Waveguide Pricing

Resque videos

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Waveguide videos

Review Kue. Enaknyaaaa kue dari alif cake ini. Dessert cup, Sus eclair, Donat dan Bolu jadul, Mantul

More videos:

  • Review - KUE NATASHA WILONA ??! Siapa Takut !!

Category Popularity

0-100% (relative to Resque and Waveguide)
Data Integration
100 100%
0% 0
Design Tools
0 0%
100% 100
Stream Processing
100 100%
0% 0
User Experience
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Resque seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Resque mentions (5)

  • Add web scraping data into the database at regular intervals [ruby & ror]
    You can use a background job queue like Resque to scrape and process data in the background, and a scheduler like resque-scheduler to schedule jobs to run your scraper periodically. Source: almost 2 years ago
  • How to run a really long task from a Rails web request
    So how do we trigger such a long-running process from a Rails request? The first option that comes to mind is a background job run by some of the queuing back-ends such as Sidekiq, Resque or DelayedJob, possibly governed by ActiveJob. While this would surely work, the problem with all these solutions is that they usually have a limited number of workers available on the server and we didn’t want to potentially... - Source: dev.to / about 2 years ago
  • Building a dynamic staging platform
    Background jobs are another limitation. Since only the Aha! Web service runs in a dynamic staging, the host environment's workers would process any Resque jobs that were sent to the shared Redis instance. If your branch hadn't updated any background-able methods, this would be no big deal. But if you were hoping to test changes to these methods, you would be out of luck. - Source: dev.to / about 2 years ago
  • #30DaysofAppwrite : Appwrite’s building blocks
    The Schedules worker corresponds to the appwrite-schedule service in the docker-compose file. The Schedules worker uses a Resque Scheduler under the hood and handles the scheduling of CRON jobs across Appwrite. This includes CRON jobs from the Tasks API, Webhooks API, and the functions API. - Source: dev.to / almost 3 years ago
  • A quick look at background jobs in Ruby
    There are a few of popular systems. A few need a database, such as Delayed::Job, while others prefer Redis, such as Resque and Sidekiq. - Source: dev.to / about 3 years ago

Waveguide mentions (0)

We have not tracked any mentions of Waveguide yet. Tracking of Waveguide recommendations started around Mar 2021.

What are some alternatives?

When comparing Resque and Waveguide, you can also consider the following products

Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby

Muzli - UI/UX and Design Inspiration Chrome Extension

Hangfire - An easy way to perform background processing in .NET and .NET Core applications.

delayed_job - Database based asynchronous priority queue system -- Extracted from Shopify - collectiveidea/delayed_job

Design Hunt - Curated design inspiration for everyone

Enqueue It - Easy and scalable solution for manage and execute background tasks seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.