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
HPE Edgeline Converged Edge systems merge operational technology (OT) and enterprise-grade IT into a robust platform that brings data center-level computing and management capabilities right to the Edge. This Edge can be found in diverse locations such as production facilities, offshore oil rigs, or local coffee shops. By adopting a distributed converged edge computing approach, businesses utilizing HPE Edgeline can enhance their ability to make real-time decisions locally, enabling prompt actions and fostering autonomous operations, even in situations with intermittent or no connectivity. Furthermore, top-tier security and compliance are consistently upheld throughout the system. HPE Edgeline systems seamlessly combine essential open standards-based OT data acquisition and control mechanisms with the enterprise IT framework that powers analytics, ensuring a rapid, straightforward, and secure integration of vital OT hardware and software components. This integration not only streamlines operations but also enhances overall efficiency across various industries.
API Access
Has API
API Access
Has API
Integrations
Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
StorMagic SvSAN
Integrations
Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
StorMagic SvSAN
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
Hewlett Packard Enterprise
Country
United States
Website
www.hpe.com/us/en/servers/edgeline-systems.html
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