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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
Link IoT Edge facilitates the management of a vast network of edge nodes by enhancing cloud functionalities, thereby delivering services closer to users. This platform offers a seamless integration of cloud and edge computing, boasting native compatibility with Alibaba Cloud. It includes essential features such as communication protocol development, remote operation and maintenance, along with frameworks for edge applications, all aimed at streamlining business growth and increasing efficiency. Additionally, Link IoT Edge supports a wide range of IoT application layer data collection protocols, effectively masking the variances of the underlying hardware communication links. It standardizes data conversion and presents a unified object model for data, enabling cloud applications to efficiently leverage edge capabilities. The platform also allows devices to utilize ecological drivers for swift migration to the cloud post-debugging and accommodates multiple programming languages for development frameworks. With its comprehensive suite of tools and capabilities, Link IoT Edge empowers businesses to harness the full potential of IoT technology.
API Access
Has API
API Access
Has API
Integrations
Alibaba Cloud
Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
Integrations
Alibaba Cloud
Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/iot-edge/
Vendor Details
Company Name
Alibaba Cloud
Founded
2008
Country
China
Website
www.alibabacloud.com/product/linkiotedge
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization