Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Azure IoT Edge is a comprehensive service that operates on the Azure IoT Hub platform. It allows you to deploy cloud-based workloads, artificial intelligence applications, Azure services, third-party tools, or custom business logic on Internet of Things (IoT) edge devices using standard container technology. By relocating specific workloads closer to the network edge, these devices can minimize their communication time with the cloud, respond more swiftly to changes in their local environment, and maintain functionality even during prolonged periods without internet access. You can implement models that have been developed and refined in the cloud directly on-site. For instance, when a predictive model is used on a factory camera for quality assurance and detects an anomaly, IoT Edge can initiate an alert, process the relevant data locally, or forward it to the cloud for more in-depth evaluation. Furthermore, your edge devices can be managed securely and effectively, ensuring reliable operation even in scenarios of limited or no connectivity. The device management feature of Azure IoT Edge automatically updates and synchronizes the current state of each device. This seamless integration fosters enhanced operational efficiency, enabling businesses to harness the full potential of their IoT solutions.
Description
Harness the power of your worldwide device network through a sophisticated IoT platform that offers scalable and fully managed integration, enabling you to connect, store, and analyze data both at the edge and in the cloud. Discover how effectively your devices can operate with a platform that accommodates a variety of operating systems, seamlessly integrates with Debian Linux, and provides out-of-the-box compatibility with top brands such as Intel and Microchip. With a comprehensive suite of IoT building blocks from Google Cloud, you can transform your device data into actionable insights from ingestion to intelligence. The IoT platform from Google Cloud can automatically forecast maintenance needs for your equipment and enhance performance in real-time, while also predicting potential downtimes, identifying anomalies, and monitoring the status, state, and location of your devices. Additionally, leverage Google Cloud IoT’s logistics solution to execute crucial operations like fleet management, inventory tracking, and cargo integrity monitoring, ensuring your business remains efficient and competitive. By adopting this platform, organizations can significantly enhance their operational capabilities and drive better decision-making processes.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure IoT Hub
Yes
Azure Kinect DK
Yes
Azure Marketplace
Yes
Buddy
No
Cogent DataHub
No
Dataddo
No
Docker
Yes
Microsoft 365
Yes
Microsoft Azure
Yes
Microsoft Defender for Cloud
Yes
Integrations
Azure IoT Hub
No
Azure Kinect DK
No
Azure Marketplace
No
Buddy
Yes
Cogent DataHub
Yes
Dataddo
Yes
Docker
No
Microsoft 365
No
Microsoft Azure
No
Microsoft Defender for Cloud
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/iot-edge/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/solutions/iot
Product Features
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No
Product Features
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No