Software Alternatives & Reviews

AWS Greengrass VS CrystalMQ

Compare AWS Greengrass VS CrystalMQ and see what are their differences

AWS Greengrass logo AWS Greengrass

Local compute, messaging, data caching, and synch capabilities for connected devices

CrystalMQ logo CrystalMQ

crystalmq.com (hosted on digitalocean.com) details, including IP, backlinks, redirect information, and reverse IP shared hosting data
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28
  • CrystalMQ Landing page
    Landing page //
    2023-05-08

AWS Greengrass videos

Run ML Models at the Edge with AWS Greengrass ML

CrystalMQ videos

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

+ Add video

Category Popularity

0-100% (relative to AWS Greengrass and CrystalMQ)
Data Dashboard
69 69%
31% 31
IoT Platform
67 67%
33% 33
Analytics
70 70%
30% 30
Cloud Computing
0 0%
100% 100

User comments

Share your experience with using AWS Greengrass and CrystalMQ. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, AWS Greengrass 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.

AWS Greengrass mentions (5)

  • Orchestrating Application Workloads in Distributed Embedded Systems: Setting up a Nomad Cluster with AWS IoT Greengrass - Part 1
    In this blog post series, we will demonstrate how to use AWS IoT Greengrass and Hashicorp Nomad to seamlessly interface with multiple interconnected devices and orchestrate service deployments on them. Greengrass will allow us to view the cluster as a single "Thing" from the cloud perspective, while Nomad will serve as the primary cluster orchestration tool. - Source: dev.to / about 1 year ago
  • AWS Summit 2022 Australia and New Zealand - Day 2, AI/ML Edition
    AWS IoT Greengrass allows one to manage their IOT Edge devices, download ML models locally, so that inference can then be also be done locally. - Source: dev.to / almost 2 years ago
  • Applying DevOps Principles to Robotics
    To assist in deployment and management of workloads in your fleet, it's worth taking advantage of a fleet or device management tool such as AWS GreenGrass, Formant or Rocos. - Source: dev.to / over 2 years ago
  • Machine Learning Best Practices for Public Sector Organizations
    In some cases, such as with edge devices, inferencing needs to occur even when there is limited or no connectivity to the cloud. Mining fields are an example of this type of use case. AWS IoT Greengrass enables ML inference locally using models that are created, trained, and optimized in the cloud using Amazon SageMaker, AWS Deep Learning AMI, or AWS Deep Learning Containers, and deployed on the edge devices. - Source: dev.to / over 2 years ago
  • Looking for a good IoT overview + a simple tutorial
    Take a look at Greengrass https://aws.amazon.com/greengrass/ Enables OTA updates and fleet management. Source: almost 3 years ago

CrystalMQ mentions (0)

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

What are some alternatives?

When comparing AWS Greengrass and CrystalMQ, you can also consider the following products

AWS IoT - Easily and securely connect devices to the cloud.

AWS IoT 1-Click - AWS IoT 1-Click is a service that makes it easy for simple devices to trigger AWS Lambda functions that execute a specific action.

Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.

Cybra Edgefinity IoT - Edgefinity IoT is an RFID software application that combines RFID technology with real-time tracking capabilities. Edgefinity IoT gives users the ability to track assets, locate inventory, and monitor employees with ease.

Azure IoT Hub - Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.

Azure IoT Edge - Connect cloud intelligence to your edge devices with Azure IoT Edge, a comprehensive service that deploys artificial intelligence and custom logic to all IoT devices.