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Average Ratings 0 Ratings
Description
Azure Digital Twins serves as an Internet of Things (IoT) platform that allows for the development of digital replicas of tangible objects, locations, business workflows, and individuals. By leveraging this technology, organizations can obtain valuable insights that enhance product development, streamline operations and reduce costs, while also delivering exceptional customer experiences. The platform facilitates the straightforward modeling and creation of digital representations for interconnected environments using an open modeling language. You can model a variety of structures, including buildings, factories, farms, energy grids, railways, stadiums, and even entire cities. These digital twins are animated through a real-time execution environment that tracks changes over time. Additionally, it provides actionable insights into the dynamics of the modeled environments through robust query APIs, while also seamlessly integrating with Azure's data analytics capabilities. The open modeling language empowers users to design customized domain models for any connected setting, utilizing the Digital Twins Definition Language for enhanced flexibility and creativity in their applications. This enables a wide range of industries to optimize their operations and innovate more effectively.
Description
The DarkStax™ platform offers a versatile and easily adaptable set of features designed for the creation of digital twins across military, industrial, and enterprise systems. It facilitates the seamless integration of customer-defined models based on operational data and virtualization, all within a scalable environment that can be deployed in the cloud or on-premises computational infrastructure. With DarkStax™, users can model cyber-physical systems and simulate cyber wargames utilizing digital twins effectively. The platform allows for the development or integration of pre-existing digital models to monitor the systems throughout their entire lifecycle. Additionally, DarkStax™ provides a cost-efficient setting for evaluating and implementing innovative technologies and business strategies. The DarkStax engine enhances processes and elevates the quality of data, generating deeper analytical insights and improving AI/ML models. It employs an automated, process-oriented approach that is particularly beneficial for analytic and data teams. Furthermore, its visualization web services offer a comprehensive range of visualization options to meet diverse user needs. Overall, DarkStax™ stands out as an indispensable tool for organizations aiming to harness the power of digital twins effectively.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure
Integrations
Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure
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/digital-twins
Vendor Details
Company Name
DarkStax
Country
United States
Website
darkstax.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting