Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • HiveMQ Reviews & Ratings
    88 Ratings
    Company Website
  • Epicor Connected Process Control Reviews & Ratings
    4 Ratings
    Company Website
  • TRACTIAN Reviews & Ratings
    138 Ratings
    Company Website
  • Jama Connect Reviews & Ratings
    383 Ratings
    Company Website
  • Evocon Reviews & Ratings
    94 Ratings
    Company Website
  • Epicor Kinetic Reviews & Ratings
    529 Ratings
    Company Website
  • The Asset Guardian EAM (TAG) Reviews & Ratings
    22 Ratings
    Company Website
  • VKS Reviews & Ratings
    26 Ratings
    Company Website
  • Planview AdaptiveWork Reviews & Ratings
    713 Ratings
    Company Website
  • Global Shop Solutions Reviews & Ratings
    77 Ratings
    Company Website

What is Siemens Industrial Edge?

Siemens Industrial Edge is an industrial edge computing platform built to help manufacturers capture, process, and act on shop floor data in real time. It combines edge devices, applications, OT and IT connectivity, centralized management, and ecosystem solutions into one scalable platform. The solution is designed to make data and software management more efficient across factory environments while reducing IT effort and operational complexity. Industrial Edge allows manufacturers to connect machines, production systems, and enterprise applications so they can gain better visibility into operations. It supports data exchange with cloud platforms, IIoT SaaS tools, ERP systems, MES, SCADA systems, MQTT brokers, and other industrial data sources. The platform helps manufacturers standardize production data, monitor OEE, detect performance issues, and minimize downtime with real-time analytics. Its intelligent maintenance capabilities support predictive insights, proactive intervention, and more efficient resource planning through hybrid edge-cloud architectures. Siemens Industrial Edge also enables software-defined automation with virtualized control and HMI capabilities such as SIMATIC S7-1500V and SIMATIC WinCC Unified for Industrial Edge. Manufacturers can deploy AI models directly on the shop floor to support defect detection, process monitoring, workflow optimization, and quality improvement. Centralized management makes it easier to scale apps and devices across distributed locations while maintaining secure infrastructure and reliable software rollout. With its combination of edge computing, industrial connectivity, analytics, automation, and AI, Siemens Industrial Edge helps factories become more productive, flexible, and data-driven.

What is Rapidminer SLC?

Rapidminer SLC is a Siemens analytics platform designed to help organizations modernize SAS language environments while expanding into open-source and multi-platform analytics. It allows teams to keep using existing SAS language programs while also working with Python, R, SQL, no-code tools, and drag-and-drop workflows. The solution helps organizations reduce migration risk by supporting existing analytics assets rather than requiring a disruptive replacement process. Rapidminer SLC is built to maintain business continuity while giving analysts, developers, and operations teams a path toward a more flexible analytics ecosystem. Users can create, execute, and operationalize analytics in modern environments across on-premises, cloud, and hybrid infrastructures. The platform supports access to many data sources, including cloud services, Hadoop, data warehouses, databases, Microsoft Excel, CSV, SPSS, SAS language data, and other file-based formats. Its Analytics Workbench provides a modern IDE for building, maintaining, running, and reviewing programs across multiple languages. Teams can explore data, results, and logs using code, no-code methods, or a combination of both. Rapidminer SLC makes it easier to exchange data between SAS language, Python, R, and SQL, helping organizations blend established workflows with newer analytics approaches. Rapidminer SLC Hub supports enterprise needs such as security, load balancing, deployment, publishing, scheduling, user provisioning, and workload distribution across resilient node clusters. With broad data access, multi-language development, centralized governance, and enterprise execution tools, Rapidminer SLC helps businesses transition analytics infrastructure while protecting existing investments.

Media

Media

Integrations Supported

MSIGHTS
Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon

Integrations Supported

MSIGHTS
Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.siemens.com/en-us/products/industrial-edge/

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.siemens.com/en-us/products/rapidminer/slc/

Categories and 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

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Popular Alternatives

Altair Compose Reviews & Ratings

Altair Compose

Altair Engineering

Popular Alternatives

Indigo DRS Data Reporting Systems Reviews & Ratings

Indigo DRS Data Reporting Systems

Indigo Scape DRS Data Reporting Systems
MyDataModels TADA Reviews & Ratings

MyDataModels TADA

MyDataModels