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AWS Greengrass VS Particle.io

Compare AWS Greengrass VS Particle.io 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

Particle.io logo Particle.io

Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28
  • Particle.io Landing page
    Landing page //
    2023-09-23

AWS Greengrass videos

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Run ML Models at the Edge with AWS Greengrass ML

Particle.io videos

+ Add

Particle All In One Face Cream For Men Review | thatsNathan

More videos:

  • Review - MEN'S SKIN CARE ROUTINE ! ( PARTICLE CREAM REVIEW )
  • Tutorial - THE BEST MEN'S SKIN CARE ROUTINE! ( PARTICLE FOR MEN FACE WASH REVIEW ) How To Have Great Skin!

Category Popularity

0-100% (relative to AWS Greengrass and Particle.io)

AWS Greengrass

Particle.io

Data Dashboard
48 48%
Data Dashboard
52% 52
IoT Platform
46 46%
IoT Platform
54% 54
Analytics
46 46%
Analytics
54% 54
Product Analytics
48 48%
Product Analytics
52% 52

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Greengrass and Particle.io

AWS Greengrass Reviews

We have no reviews of AWS Greengrass yet.
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Particle.io Reviews

Best IoT Platforms in 2022 for Small Business
The IoT solutions offered by Particle are fully integrated and it is an easy to use IoT platform with built-in infrastructure. The particle’s operating system and the Device OS are the differentiators as it expedites the complex integration between firmware, hardware, and network connectivity on all Particle devices.
Source: www.fogwing.io
Open Source Internet of Things (IoT) Platforms
Self-describing as a “complete edge-to-cloud platform”, Particle.io also contains all the building blocks for developing an IoT product. This includes connectivity, device management, and even the hardware required to prototype IoT solutions and scale quickly thanks to the robust infrastructure. The platform supports IoT data collection and over-the-air development in a...
Source: jansutris10.medium.com

Social recommendations and mentions

Based on our record, Particle.io should be more popular than AWS Greengrass. It has been mentiond 9 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

Particle.io mentions (9)

  • What hardware do I need for a robot to upload information to the cloud?
    Look into AWS Greengrass, Robomaker, etc. If you're looking for more customization. Or you could use an all-in-one product like from particle.io if you'd more of an out-of-the-box solution. Source: about 1 year ago
  • Web developer becoming embedded engineer?
    5) look at using a GPRS or LTE (look at particle.io) cell monitor a fridge or freezer. Source: about 2 years ago
  • KnowYourCrypto #51: BitTorrent Token (BTT)
    I really dig your KYC reports. Please do Particl particle.io next :). Source: over 2 years ago
  • Cloud solution for ESP8266
    That's not how I read the OP's proposal. It sounds more like they want to build something like the service that http://particle.io/ appears to provide. Source: over 2 years ago
  • Ray Ozzie's latest venture is a cheap IoT board with flat rate connectivity
    Looks cool! How does this differ from http://particle.io ? - Source: Hacker News / over 2 years ago
View more

What are some alternatives?

When comparing AWS Greengrass and Particle.io, you can also consider the following products

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

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.

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

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.

Blynk.io - We make internet of things simple

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.

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