AWS Greengrass vs Google Cloud IoT Core

Overview

AWS Greengrass

Stacks25

Followers79

Votes0

Google Cloud IoT Core

Stacks44

Followers103

Votes0

AWS Greengrass vs Google Cloud IoT Core: What are the differences?

Introduction

In this markdown, we will outline the key differences between AWS Greengrass and Google Cloud IoT Core. Both of these platforms offer IoT (Internet of Things) services, but they have some distinct features that set them apart.

Deployment and Connectivity: AWS Greengrass allows devices to run AWS Lambda functions locally on edge devices, enabling offline data analysis and local computing. On the other hand, Google Cloud IoT Core focuses more on cloud-based computing, relying on the cloud for processing and analysis.
Device Management: AWS Greengrass offers comprehensive device management capabilities such as device provisioning, configuration, and OTA (over-the-air) updates. It provides in-depth control over edge devices. In contrast, Google Cloud IoT Core also provides device management features but is more focused on managing devices at scale, making it suitable for large-scale deployments.
Integration with Platform Services: AWS Greengrass is tightly integrated with the broader AWS ecosystem, providing seamless integration with other AWS services like AWS IoT, AWS Lambda, AWS IoT Analytics, etc. This enables users to leverage the extensive capabilities of AWS for building end-to-end IoT solutions. In comparison, Google Cloud IoT Core is part of the Google Cloud Platform, offering integration with various Google services like Google Cloud Pub/Sub, Google Cloud Functions, and BigQuery.
Data Analytics: With AWS Greengrass, data analysis can be done locally on edge devices using AWS Lambda functions, allowing for real-time decision making. However, in the case of Google Cloud IoT Core, the focus is more on forwarding the device-generated data to Google Cloud Pub/Sub for further processing and analysis using Google Cloud Dataflow, BigQuery, or other platform services.
Protocol Support: AWS Greengrass supports a wide range of protocols, including MQTT, HTTP, and OPC-UA for device connectivity. It provides flexibility in integrating different types of devices. On the other hand, Google Cloud IoT Core primarily supports MQTT and HTTP protocols for device communication.
Pricing Model: AWS Greengrass follows a pay-as-you-go pricing model, where users pay for the resources consumed and the number of Greengrass cores deployed. In contrast, Google Cloud IoT Core follows a pricing model based on the number of registry operations, device state updates, and telemetry events.

In summary, AWS Greengrass emphasizes local computing and device control, seamless integration with the AWS ecosystem, and offers comprehensive device management capabilities. Google Cloud IoT Core, on the other hand, focuses on cloud-based computing, managing devices at scale, and integration with the Google Cloud Platform services for data processing and analysis.

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Detailed Comparison

AWS Greengrass	Google Cloud IoT Core
Greengrass lets you run IoT applications seamlessly across the AWS cloud and local devices using AWS Lambda and AWS IoT.	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.
Respond to local events in near real-time;Operate offline	End-to-end security;Single global system;Out-of-box data insights;Device deployment at scale;Role-level access control;Fully managed and scalable
Statistics
Stacks 25	Stacks 44
Followers 79	Followers 103
Votes 0	Votes 0
Integrations
No integrations available	Google Cloud Functions Google Cloud Pub/Sub Google Cloud Natural Language API

What are some alternatives to AWS Greengrass, Google Cloud IoT Core?

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

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

Azure IoT Hub

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.

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.

Resin.io

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

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

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.

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.

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

AWS Greengrass vs Google Cloud IoT Core: What are the differences?

Introduction

Deployment and Connectivity: AWS Greengrass allows devices to run AWS Lambda functions locally on edge devices, enabling offline data analysis and local computing. On the other hand, Google Cloud IoT Core focuses more on cloud-based computing, relying on the cloud for processing and analysis.
Device Management: AWS Greengrass offers comprehensive device management capabilities such as device provisioning, configuration, and OTA (over-the-air) updates. It provides in-depth control over edge devices. In contrast, Google Cloud IoT Core also provides device management features but is more focused on managing devices at scale, making it suitable for large-scale deployments.
Integration with Platform Services: AWS Greengrass is tightly integrated with the broader AWS ecosystem, providing seamless integration with other AWS services like AWS IoT, AWS Lambda, AWS IoT Analytics, etc. This enables users to leverage the extensive capabilities of AWS for building end-to-end IoT solutions. In comparison, Google Cloud IoT Core is part of the Google Cloud Platform, offering integration with various Google services like Google Cloud Pub/Sub, Google Cloud Functions, and BigQuery.
Data Analytics: With AWS Greengrass, data analysis can be done locally on edge devices using AWS Lambda functions, allowing for real-time decision making. However, in the case of Google Cloud IoT Core, the focus is more on forwarding the device-generated data to Google Cloud Pub/Sub for further processing and analysis using Google Cloud Dataflow, BigQuery, or other platform services.
Protocol Support: AWS Greengrass supports a wide range of protocols, including MQTT, HTTP, and OPC-UA for device connectivity. It provides flexibility in integrating different types of devices. On the other hand, Google Cloud IoT Core primarily supports MQTT and HTTP protocols for device communication.
Pricing Model: AWS Greengrass follows a pay-as-you-go pricing model, where users pay for the resources consumed and the number of Greengrass cores deployed. In contrast, Google Cloud IoT Core follows a pricing model based on the number of registry operations, device state updates, and telemetry events.

AWS Greengrass vs Google Cloud IoT Core

Overview

AWS Greengrass vs Google Cloud IoT Core: What are the differences?