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Average Ratings 0 Ratings

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ease
features
design
support

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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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Everyware Software Framework (ESF) Yes 
MSIGHTS No 

Integrations

Everyware Software Framework (ESF) No 
MSIGHTS Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
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

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 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 

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 

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