Software Alternatives, Accelerators & Startups

AWS Greengrass VS WinWedge

Compare AWS Greengrass VS WinWedge and see what are their differences

AWS Greengrass logo AWS Greengrass

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

WinWedge logo WinWedge

Data collection software for serial devices, including meters, balances, scales or any RS232...
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28
  • WinWedge Landing page
    Landing page //
    2023-09-12

AWS Greengrass videos

Run ML Models at the Edge with AWS Greengrass ML

WinWedge videos

WinWedge Introduction: Capture RS232 Data into a PC

More videos:

  • Tutorial - WinWedge -- TALtech Software Wedge for Windows RS232 Data Collection Software Tutorial

Category Popularity

0-100% (relative to AWS Greengrass and WinWedge)
Data Dashboard
75 75%
25% 25
Business Intelligence
0 0%
100% 100
IoT Platform
100 100%
0% 0
Automation
0 0%
100% 100

User comments

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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 / 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: about 3 years ago

WinWedge mentions (0)

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

What are some alternatives?

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

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

232key - Transforms data received via RS-232 into keystrokes. Make your serial device talk to any program!

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

TWedge - TWedge enables you to capture data from devices like bar code readers, scanners, decoders, gauges...

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.

NoFlo - NoFlo is a JavaScript implementation of Flow-Based Programming (FBP).