Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Azure IoT Central offers robust security, scales alongside your business growth, ensures that your investments yield consistent returns, and works harmoniously with your current business applications. By utilizing IoT Plug and Play, you can develop scalable solutions more efficiently. The open modeling language simplifies device interactions within IoT solutions, facilitating a smooth device-to-cloud integration experience while also minimizing development time, costs, and complexity. Device Builders have the capability to create devices that seamlessly connect with any Azure IoT cloud solution, while Solution Builders can expedite their projects without the need for embedded code. It's crucial to think about how your IoT solutions will evolve as your needs change and to prioritize the protection of your data both on devices and in the cloud. Azure IoT Central stands out as the sole app platform designed with the characteristics of highly secure and scalable IoT solutions. By taking advantage of our expanding range of IoT app templates tailored for prevalent industry scenarios, you can gain a competitive edge and revolutionize your business operations. Embrace the future of IoT and transform your strategies to better align with emerging technologies.
Description
Siemens Industrial Edge is a multi-purpose edge computing platform that helps manufacturers process industrial data closer to where production happens. It is designed to optimize factory operations by combining Siemens and partner technologies across hardware, software, apps, connectivity, and central device management. The platform makes it easier to connect shop floor assets, standardize data, and turn operational information into real-time insights. Industrial Edge supports scalable app and device management, allowing companies to roll out software across distributed factory environments with IT-like simplicity. It connects OT systems with cloud platforms, IIoT SaaS solutions, ERP, MES, SCADA, and MQTT environments to support stronger IT and OT convergence. Manufacturers can use it for OEE monitoring, production analytics, intelligent maintenance, predictive insights, and resource planning. The platform also supports software-defined automation through virtual PLC and HMI capabilities, helping companies move toward more flexible manufacturing systems. AI models can be deployed on the shop floor for defect detection, monitoring, process optimization, and throughput improvement. With secure infrastructure, ecosystem offerings, and centralized management, Siemens Industrial Edge helps industrial organizations reduce complexity while making faster and smarter operational decisions.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
Azure Percept
MSIGHTS
Microsoft 365
Microsoft Azure
Onomondo
Integrations
Azure Marketplace
Azure Percept
MSIGHTS
Microsoft 365
Microsoft Azure
Onomondo
Pricing Details
$0.08 per month
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-central/
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/industrial-edge/
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product 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