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AWS Greengrass VS AWS Personalize

Compare AWS Greengrass VS AWS Personalize and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

AWS Greengrass logo AWS Greengrass

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

AWS Personalize logo AWS Personalize

Real-time personalization and recommendation engine in AWS
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28
  • AWS Personalize Landing page
    Landing page //
    2023-04-01

AWS Greengrass videos

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Run ML Models at the Edge with AWS Greengrass ML

AWS Personalize videos

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

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Category Popularity

0-100% (relative to AWS Greengrass and AWS Personalize)

AWS Greengrass

AWS Personalize

Data Dashboard
76 76%
Data Dashboard
24% 24
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
IoT Platform
100 100%
IoT Platform
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Social recommendations and mentions

AWS Personalize might be a bit more popular than AWS Greengrass. We know about 6 links to it since March 2021 and only 5 links to AWS Greengrass. 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 / about 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

AWS Personalize mentions (6)

  • Evolutionary Recommender Design with Amazon Personalize
    Over the past few months I've been spending a fair amount of time working on personalization, leveraging one of my new favorite AWS services - Amazon Personalize. Needless to say there is much more that goes into building and launching a personalization system than just turning on a few services and feeding in some data. In this article I'll focus on what it takes to launch a new personalization strategy, and... - Source: dev.to / 9 months ago
  • I built a ChatGPT powered shopping tool
    Check this out https://aws.amazon.com/personalize/. Source: about 1 year ago
  • Social Media Web app
    You can use Algolia Recommend system, comes at a cost or even AWS. Source: over 1 year ago
  • It's sad to watch Oura get cheaper and cheaper with their customers. First you just had to buy the ring. Next they gave you 6 months free. Now they give you one month free. They must be getting squeezed by their VCs/Board to turn up the margins.
    It's not sleep analysis, technically. They have general tools that analyze and process data in different ways. For example, AWS Personalize could be something useful for Oura. Source: over 1 year ago
  • Amazon SES and everything to set it up
    With Amazon Pinpoint and Amazon Personalize sending marketing emails with content customized to user's preference. - Source: dev.to / over 2 years ago
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What are some alternatives?

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

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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

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.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

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