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AWS Greengrass VS Azure IoT Edge

Compare AWS Greengrass VS Azure IoT Edge and see what are their differences

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AWS Greengrass logo AWS Greengrass

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

Azure IoT Edge logo 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.
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28
  • Azure IoT Edge Landing page
    Landing page //
    2023-02-11

AWS Greengrass videos

+ Add

Run ML Models at the Edge with AWS Greengrass ML

Azure IoT Edge videos

+ Add

Azure IoT Edge: architecture, demo on Raspberry Pi, pricing

Category Popularity

0-100% (relative to AWS Greengrass and Azure IoT Edge)

AWS Greengrass

Azure IoT Edge

Data Dashboard
58 58%
Data Dashboard
42% 42
IoT Platform
56 56%
IoT Platform
44% 44
Analytics
63 63%
Analytics
37% 37
Cloud Computing
0 0%
Cloud Computing
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS Greengrass should be more popular than Azure IoT Edge. 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

Azure IoT Edge mentions (2)

  • How to get the EK and Registration ID from a TPM 2.0 module on Raspian
    I am currently working on an IoT Project for my Bachelor's thesis. The goal is to gather data from an existing machine and send it to an Azure cloud via AMQP. To do this I have set up an IoT Hub and will be using the Azure IoT Edge runntime to connect and send the Data. For initial development, I have authenticated my devices to the cloud using symmetric keys generated by the IoT hub. Now I want to switch to... Source: over 2 years ago
  • How to securely handle Data on Raspberry Pi-based device
    I get my data from an existing machine via Modbus RTU. For the cloud infrastructure, we are working with Microsoft Azure. I am using a Revolution Pi Flat as my edge device (basically an industrial-grade Pi) and plan to use the Azure IoT Edge runtime for added safety and easy deployments of containers from the cloud. There is just one problem. How do I handle data safely while it is on my device so a potential... Source: over 2 years ago

What are some alternatives?

When comparing AWS Greengrass and Azure IoT Edge, 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.

Evrythng - Evrythng IoT smart products platform connects consumer products to the Web and manages real-time data in the cloud to drive applications.

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.

SAP Edge Services - Learn how key features of SAP Edge Services can help you connect your edge data with the business world and simplify common Internet of Things (IoT) data processing patterns.

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