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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.

What is Rapidminer Panopticon?

Rapidminer Panopticon is a Siemens visual analytics and business intelligence platform built for organizations that need to monitor real-time and historical data through interactive dashboards. It allows users to create and deploy BI dashboards without writing code, making advanced analytics more accessible to business and technical teams. The software supports comprehensive filtering, in-memory data blending, alerting, and high-density visualizations for large volumes of fast-changing data. Rapidminer Panopticon connects to message queues, complex event processing systems, SQL databases, NoSQL databases, cloud services, flat files, tick databases, time-series databases, big data repositories, Python, and R. Users can identify patterns, trends, exceptions, anomalies, causal links, relationships, and outliers in seconds. The platform can process data streams down to nanosecond timestamps, making it useful for environments where timing and speed are critical. Teams can play back streams in real time, faster than real time, or slower than real time to support detailed investigation and operational analysis. Rapidminer Panopticon can be deployed in major cloud environments, containerized with Docker, or run on-premises for organizations that need tighter control over security and infrastructure. Its embedded analytics capabilities allow companies to add real-time dashboards directly into business applications with support for SSO, automated embed-link generation, and cross-origin resource sharing. The platform also works with Rapidminer AI Cloud workflows for custom data transforms, machine learning model scoring, and other data science tasks. With strong connectivity, flexible deployment, and no-code dashboard creation, Rapidminer Panopticon helps organizations turn streaming data into timely decisions and operational improvements.

Media

Media

Integrations Supported

Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon

Integrations Supported

Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Data Virtuality
Rapidminer SLC

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$1000.00/one-time/user

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

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

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

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

Categories and Features

Data Analysis

Not specified

Data Mining

Not specified

Machine Learning

Not specified

Predictive Analytics

Not specified

Categories and Features

Business Intelligence

Not specified

Dashboard

Not specified

Data Visualization

Analytics
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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