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What is Veea Edge Platform?

Veea's Edge Platform constitutes a comprehensive ecosystem that integrates computing, connectivity, and security to enhance Internet of Things (IoT) applications. At its core are the VeeaHubs, versatile devices equipped with powerful quad-core CPUs that offer outstanding edge computing capabilities. This platform supports a plethora of applications, facilitating virtualized environments tailored to diverse operational requirements. With VeeaHubs, users can expect seamless device connectivity, while options for LoRaWAN and 4G/5G expand networking possibilities. The introduction of vMesh technology fosters scalable and efficient network development, empowering businesses to grow according to their needs. Emphasizing security, the platform adheres to stringent industry standards and offers customizable solutions that cater to specific requirements. Furthermore, VeeaCloud simplifies the deployment process by providing intuitive tools for configuration, management, and analytics, ensuring consistent application performance. Collectively, these attributes position Veea's Edge Platform as a formidable solution that adeptly addresses the complexities of contemporary IoT challenges, making it an invaluable asset for any organization aiming to leverage IoT technology effectively.

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.

Media

Media

Integrations Supported

Niagra Framework
StorMagic SvSAN

Integrations Supported

Niagra Framework
StorMagic SvSAN

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Veea

Date Founded

2014

Company Location

United States

Company Website

www.veea.com

Company Facts

Organization Name

Hewlett Packard Enterprise

Company Location

United States

Company Website

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

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

Categories and Features

IoT

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

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