ThingSpeak VS AWS Greengrass

ThingSpeak Reviews

AWS Greengrass Reviews

ThingSpeak mentions (9)

• Kotlin/ Thingspeak Interfacing.

  First of all, you need to ask yourself how familiar you are with MatLab. Then from a dev point of view, could you use an API to reference cloud data then apply analytics. Great intro to IoT. I can see that company going far in 5-10 and may invest based on trajectory. Https://thingspeak.com. Source: 7 months ago

• Google sheets and esp32

  You can use solutions like thingspeak https://thingspeak.com/. Source: about 1 year ago

• Help me check my circuit for my self-sustaining water meter

  I'm not sure yet. Maybe something custom, but probably not. I was thinking about Thingspeak before. Source: about 1 year ago

• Displaying readings to website?

  I haven't got around to MQTT yet, but as an easy interim solution I recommend ThingSpeak https://thingspeak.com/ as you can set up an account for free and getting an ESP to send data to it is trivial. Plus you can access it via the web, or embed their graphs and dials into a webpage. The graphics are a bit meh though. Source: about 1 year ago

• i have an idea for a database+arduino+matlab, i need some help plz

  ThingSpeak for IoT Projects Data collection in the cloud with advanced data analysis using MATLAB Https://thingspeak.com/. Source: over 1 year ago

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