Software Alternatives, Accelerators & Startups

EMQX Cloud VS Resque

Compare EMQX Cloud VS Resque and see what are their differences

EMQX Cloud logo EMQX Cloud

A fully managed MQTT service that connects your IoT devices to the cloud with reliable, real-time IoT data transmission, processing, and integration. Accelerate business that matters while avoiding the headaches of infrastructure management.

Resque logo Resque

Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
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  • Resque Landing page
    Landing page //
    2023-10-04

EMQX Cloud videos

EMQX CLOUD OVERVIEW

More videos:

  • Tutorial - EMQX Cloud Quick Start Tutorial

Resque videos

No Resque videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to EMQX Cloud and Resque)
Data Integration
30 30%
70% 70
IoT
100 100%
0% 0
Stream Processing
0 0%
100% 100
IoT Platform
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Resque seems to be more popular. It has been mentiond 7 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.

EMQX Cloud mentions (0)

We have not tracked any mentions of EMQX Cloud yet. Tracking of EMQX Cloud recommendations started around Aug 2022.

Resque mentions (7)

  • It’s Time For Active Job
    It is hard to imagine any big and complex Rails project without background jobs processing. There are many gems for this task: **Delayed Job, Sidekiq, Resque, SuckerPunch** and more. And Active Job has arrived here to rule them all. - Source: dev.to / 12 days ago
  • How to Setup a Project That Can Host Up to 1000 Users for Free
    Rollbar is a great error-tracking service. It alerts us on exceptions and errors, provides analysis tools and dashboard, so we can see, reproduce, and fix bugs quickly when something went wrong. This service has a possibility to log not only uncaught exceptions but any messages. By default, the messages are reported synchronously, but you can enable asynchronous reporting using Sidekiq, girl_friday, or Resque.... - Source: dev.to / 14 days ago
  • 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: about 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
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What are some alternatives?

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

CloudMQTT - CloudMQTT implements MQ Telemetry Transport protocol for carrying out messaging using a publish/subscribe message queueing model.

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

EMQX Enterprise - Self-managed scalable and reliable MQTT messaging platform, an all-in-one distributed MQTT broker with multiple protocol gateways and a powerful built-in SQL-based IoT rule engine.

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

HiveMQ - HiveMQ is the MQTT based messaging platform for fast, efficient and reliable data movement to and from connected IoT devices and enterprise systems

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