Software Alternatives & Reviews

balenaEngine VS AWS Greengrass

Compare balenaEngine VS AWS Greengrass and see what are their differences

balenaEngine logo balenaEngine

Moby-based Container Engine for Embedded, IoT, and Edge uses - balena-os/balena-engine

AWS Greengrass logo AWS Greengrass

Local compute, messaging, data caching, and synch capabilities for connected devices
  • balenaEngine Landing page
    Landing page //
    2022-11-03
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28

balenaEngine videos

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AWS Greengrass videos

Run ML Models at the Edge with AWS Greengrass ML

Category Popularity

0-100% (relative to balenaEngine and AWS Greengrass)
IoT Platform
31 31%
69% 69
Data Dashboard
28 28%
72% 72
Analytics
25 25%
75% 75
Cloud Computing
100 100%
0% 0

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.

balenaEngine mentions (0)

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

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

What are some alternatives?

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

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.

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

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.

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

Cybra Edgefinity IoT - Edgefinity IoT is an RFID software application that combines RFID technology with real-time tracking capabilities. Edgefinity IoT gives users the ability to track assets, locate inventory, and monitor employees with ease.

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.