Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Leading cloud and edge solutions facilitate swift device deployment and simplify asset management. Keep track of IoT devices, asset functionality, and security through bi-directional communication. Streamline bulk firmware and software updates to improve features, maintain compliance, and expand your deployment capabilities. Access previously unreachable data from edge devices. Utilize open APIs to integrate device information, allowing for enhanced insights and control through third-party applications. Get immediate notifications and comprehensive reports regarding network health and device status. IoT device monitoring empowers businesses to oversee a large volume of deployed IoT devices and process billions of data points to extract actionable insights and ensure operational efficiency. By implementing IoT monitoring, organizations can confidently expand their IoT initiatives, assured in their ability to monitor each device, evaluate performance, and receive alerts on security threats, ultimately leading to a more robust and efficient operational framework. Thus, the integration of these tools not only enhances functionality but also paves the way for future innovations in IoT management.
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
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Itron Enterprise Meter Data Management
Yes
MSIGHTS
No
Microsoft Azure
Yes
Integrations
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Itron Enterprise Meter Data Management
No
MSIGHTS
Yes
Microsoft Azure
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Digi International
Founded
1985
Country
United States
Website
www.digi.com/products/iot-software-services/digi-remote-manager
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/industrial-edge/
Product Features
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No