StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. API Tools
  4. IOT Services
  5. AWS Greengrass vs Azure IoT Hub

AWS Greengrass vs Azure IoT Hub

OverviewComparisonAlternatives

Overview

Azure IoT Hub
Azure IoT Hub
Stacks72
Followers106
Votes0
AWS Greengrass
AWS Greengrass
Stacks25
Followers79
Votes0

AWS Greengrass vs Azure IoT Hub: What are the differences?

Introduction

In this article, we will discuss the key differences between AWS Greengrass and Azure IoT Hub. Both AWS Greengrass and Azure IoT Hub are cloud services that enable organizations to securely connect, monitor, and manage IoT devices and data. However, there are several differences between these two services.

  1. Data Processing Capability: AWS Greengrass provides the ability to process data locally on edge devices, allowing for real-time decision making and reduced latency. This is particularly useful in scenarios where immediate response is required, such as industrial automation or remote monitoring. On the other hand, Azure IoT Hub focuses on data ingestion and routing to cloud services for processing, leveraging the scalability and advanced analytics capabilities of Azure IoT Suite.

  2. Deployment Flexibility: AWS Greengrass allows for the deployment of custom code on edge devices, enabling the execution of complex business logic closer to the data source. It provides an ecosystem of software components and tools, allowing developers to build and deploy applications tailored to specific edge devices. In contrast, Azure IoT Hub is more focused on seamless integration with Azure cloud services, enabling easy integration with Azure Functions, Azure Stream Analytics, and other cloud-based services.

  3. Edge Device Management: AWS Greengrass offers comprehensive edge device management capabilities, including remote device management, software updates, and monitoring. It provides a centralized console to manage and monitor edge devices, enabling efficient device lifecycle management. Azure IoT Hub, on the other hand, provides basic device management capabilities but relies more on Azure Device Provisioning Service and Azure IoT Device Management for advanced device management features.

  4. Message Routing: Both AWS Greengrass and Azure IoT Hub support message routing, allowing for the transformation and routing of IoT messages to the desired destinations. However, AWS Greengrass provides more granular control over message routing with its AWS IoT Rules Engine, enabling complex rule-based routing based on device properties, message content, or data transformations. Azure IoT Hub offers similar capabilities but with a simplified routing mechanism.

  5. Integration with Cloud Services: AWS Greengrass seamlessly integrates with various AWS cloud services, such as AWS Lambda, AWS IoT Analytics, and Amazon Kinesis, allowing for easy data ingestion, analysis, and storage on the cloud. Azure IoT Hub, on the other hand, is tightly integrated with the Azure ecosystem, enabling integration with Azure Event Grid, Azure Logic Apps, and Azure Data Lake, providing a comprehensive IoT solution within the Azure environment.

  6. Pricing Model: Both AWS Greengrass and Azure IoT Hub follow a different pricing model. AWS Greengrass has a pay-as-you-go pricing model based on the number of connected devices and the amount of data processed at the edge. Azure IoT Hub offers tiered pricing based on the number of messages sent and received, with additional charges for device-to-cloud and cloud-to-device communication. The pricing models are tailored to the specific features and capabilities offered by each service.

In summary, AWS Greengrass and Azure IoT Hub differ in terms of data processing capability, deployment flexibility, edge device management, message routing, integration with cloud services, and pricing model. It is important for organizations to assess their specific requirements and choose the service that best aligns with their IoT deployment needs.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Azure IoT Hub
Azure IoT Hub
AWS Greengrass
AWS Greengrass

Use device-to-cloud telemetry data to understand the state of your devices and define message routes to other Azure services without writing any code. In cloud-to-device messages, reliably send commands and notifications to your connected devices and track message delivery with acknowledgement receipts. Device messages are sent in a durable way to accommodate intermittently connected devices.

Greengrass lets you run IoT applications seamlessly across the AWS cloud and local devices using AWS Lambda and AWS IoT.

device management; provisioning; bidirectional communication;
Respond to local events in near real-time;Operate offline
Statistics
Stacks
72
Stacks
25
Followers
106
Followers
79
Votes
0
Votes
0
Integrations
Windows
Windows
Python
Python
Linux
Linux
Java
Java
Azure Machine Learning
Azure Machine Learning
No integrations available

What are some alternatives to Azure IoT Hub, AWS Greengrass?

Amazon IoT

Amazon IoT

AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.

Node-RED

Node-RED

It is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways.

AWS IoT Device Management

AWS IoT Device Management

AWS IoT Device Management makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. IoT Device Management lets you register your devices individually or in bulk, and manage permissions so that devices remain secure. Then, you use the IoT Device Management console to organize your devices into groups, monitor and troubleshoot device functionality, and send remote updates to your devices.

Google Cloud IoT Core

Google Cloud IoT Core

Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from millions of globally dispersed devices. Cloud IoT Core, in combination with other services on Google Cloud IoT platform, provides a complete solution for collecting, processing, analyzing, and visualizing IoT data in real time to support improved operational efficiency.

Resin.io

Resin.io

Balena makes it simple to deploy, update, and maintain code running on remote devices.

Bespoken Tools

Bespoken Tools

Bespoken makes it easy to develop for Alexa, Google Home and Chatbots. We provide logging, analytics, and our rapid development CLI.

Losant

Losant

Losant is a complete developer platform for quickly, easily, and securely building connected experiences and solutions.

ThingWorx

ThingWorx

It is a complete, end-to-end technology platform designed for the industrial Internet of Things (IIoT). It delivers tools and technologies that empower businesses to rapidly develop and deploy powerful applications and augmented reality (AR) experiences.

Autodesk SeeControl

Autodesk SeeControl

Autodesk SeeControl is an enterprise IoT cloud service that helps manufacturers to connect, analyze, and manage their products. It virtualizes machines, links them with reporting devices, and through analytics unlocks the data trapped inside—utilizing the unlimited computing power of a cloud native architecture.

AWS IoT SiteWise

AWS IoT SiteWise

It is a managed service that makes it easy to collect, store, organize, and monitor data from industrial equipment at scale to help you make better, data-driven decisions. You can use it to monitor operations across facilities, quickly compute common industrial performance metrics, and create applications that analyze industrial equipment data to prevent costly equipment issues and reduce gaps in production. This allows you to collect data consistently across devices, identify issues with remote monitoring more quickly, and improve multi-site processes with centralized data.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope