Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Effortlessly link devices to the cloud and gain easy access to more than 200 AWS services. By delegating networking and cryptography functions to the module, you can significantly reduce development expenses. Devices can be connected with minimal redesign needed, regardless of processor size or available resources. Monitor the health of your device fleet and manage security updates efficiently across large scales. AWS IoT ExpressLink drives a variety of hardware modules provided by AWS Partners. These connectivity modules come with software that meets AWS's stringent security standards, enabling you to connect devices to the cloud securely and integrate seamlessly with many AWS services. Transform industrial applications without the need to completely overhaul existing systems. With AWS IoT ExpressLink, you gain immediate connectivity for all kinds of devices, irrespective of their resource limitations. This solution allows you to bring consumer products to market in significantly less time and at a reduced cost while also enhancing overall efficiency. As a result, businesses can innovate more rapidly and remain competitive in an ever-evolving market.
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
AWS IoT Core
AWS IoT Device Defender
AWS IoT Device Management
Amazon Web Services (AWS)
MSIGHTS
Integrations
AWS IoT Core
AWS IoT Device Defender
AWS IoT Device Management
Amazon Web Services (AWS)
MSIGHTS
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/iot-expresslink/
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
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