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What is HPE Edgeline?

HPE Edgeline Converged Edge systems integrate operational technology (OT) with enterprise-grade IT, creating a powerful platform that delivers data center-level computing capabilities directly at the Edge. This Edge can be situated in various environments, from manufacturing sites and offshore oil rigs to neighborhood coffee shops. By embracing a distributed approach to converged edge computing, organizations leveraging HPE Edgeline can significantly improve their capacity for real-time local decision-making, allowing for swift responses and promoting autonomous operations, even in scenarios where connectivity is limited or absent. In addition, the systems maintain high standards of security and compliance throughout their architecture. HPE Edgeline systems effectively merge crucial open standards-based OT data collection and control functions with the enterprise IT infrastructure that drives analytics, facilitating a fast, easy, and secure integration of essential OT hardware and software elements. This seamless integration not only optimizes workflows but also boosts overall productivity across a wide range of sectors, ultimately contributing to a more agile and responsive operational environment. Moreover, the adaptability of these systems ensures that businesses can scale their edge computing solutions according to their evolving needs.

What is AWS IoT TwinMaker?

Utilize your existing IoT, video, and enterprise application data directly from its original source, thus avoiding the complications of data reingestion or transfer. Boost your productivity through an automatically generated knowledge graph that connects your data sources with virtual representations of physical systems, facilitating accurate simulations of real-world environments. Enjoy an engaging 3D visualization of your operations and systems, which enables you to improve efficiency, increase production, and enhance overall performance. With AWS IoT TwinMaker, developers can easily create digital twins for real-world systems such as buildings, factories, industrial equipment, and production workflows. This robust toolset equips you to optimize building management, enhance production capacity, and improve equipment performance. Furthermore, by leveraging existing data from multiple sources, you can construct virtual models of any physical environment while marrying contemporary 3D designs with real-time data for deeper insights and improved operational efficiency. The integration of these technologies not only streamlines processes but also fosters innovation in how businesses manage their physical assets.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
StorMagic SvSAN

Integrations Supported

Amazon Web Services (AWS)
StorMagic SvSAN

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1.50 per million calls
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Hewlett Packard Enterprise

Company Location

United States

Company Website

www.hpe.com/us/en/servers/edgeline-systems.html

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/iot-twinmaker/

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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