Software Alternatives & Reviews

Bevywise CrystalMQ VS Resque

Compare Bevywise CrystalMQ VS Resque and see what are their differences

Bevywise CrystalMQ logo Bevywise CrystalMQ

Hosted MQTT Server with powerful UI, widgets & advanced ML/AI Integration. Dedicated server for data privacy & Security for Industrial & Commercial needs.

Resque logo Resque

Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
  • Bevywise CrystalMQ Landing page
    Landing page //
    2023-09-15

CrystalMQ is a hosted MQTT server solution to build a powerful industrial & commercial IoT applications. crystalMQ is a secured MQTT server application which uses Bevywise MQTTRoute that comes with more options to deploy own AI/ML algorithms & customizable widgets to build own user interface.

  • Resque Landing page
    Landing page //
    2023-10-04

Bevywise CrystalMQ

$ Details
freemium $39.0 / Monthly ("Event Based", "Upto 100 Clients", "8GB")

Bevywise CrystalMQ features and specs

  • Dedicated Server: Yes
  • MQTT Dashboard: Yes
  • Live Widgets: Yes
  • Historical Graphs: Yes
  • Reports: Yes
  • Rules Engine: Yes
  • SSL Support: Yes
  • Web Security: Yes
  • Admin Console: Yes

Resque features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Bevywise CrystalMQ and Resque)
Data Integration
24 24%
76% 76
IoT
100 100%
0% 0
Stream Processing
0 0%
100% 100
Cloud Computing
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 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.

Bevywise CrystalMQ mentions (0)

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

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

What are some alternatives?

When comparing Bevywise CrystalMQ 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

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

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

EMQX - EMQX is an open source MQTT 5.0 broker for mission-critical IoT scenarios, massively scalable and highly available clustering, running anywhere from edge to cloud.

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