Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Eclipse Kura™ is a flexible and open-source framework designed for IoT Edge applications, built on Java/OSGi. It provides developers with API access to various hardware interfaces found in IoT gateways, such as serial ports, GPS, watchdog timers, GPIOs, and I2C. Among its features, Kura includes pre-configured field protocols like Modbus, OPC-UA, and S7, an application container, and a web-based visual programming tool that facilitates data acquisition from the field, edge processing, and efficient publishing to prominent IoT cloud platforms via MQTT. The rise of an IoT service gateway model utilizing contemporary software architectures at the edge of IoT implementations acts as a unifying controller and aggregator, enabling the integration of advanced enterprise technologies into IoT gateways. By utilizing sophisticated software frameworks that simplify the complexities of hardware and networking, the development and reusability of combined hardware and software solutions are significantly transformed, fostering innovation and efficiency in IoT projects. This shift empowers developers to focus more on application logic rather than underlying technical challenges.
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
Pricing Details
Free
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
Eclipse Foundation
Founded
2004
Country
United States
Website
www.eclipse.org/kura/
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