Altair RapidMiner

What it does

Altair RapidMiner, sold by Siemens, is an enterprise AI and analytics software suite. It connects to relational databases, NoSQL stores, cloud storage, and files such as CSV, Excel, and XML, and it can extract data from PDFs and reports. Outputs include prepared datasets, machine learning models, knowledge graphs, visualizations, and analytics results.

Teams use it to unify siloed sources, prepare data with pre-built functions, and build models with visual drag-and-drop workflows. The portfolio includes Graph Studio for knowledge graphs, AI Studio for machine learning, SLC for running existing SAS language code alongside Python, R, and SQL, Monarch for self-service data preparation, Panopticon for real-time visualization, and Knowledge Studio for explainable decision trees. Its emphasis is traceable lineage and explainable outputs.

It suits data scientists, analysts, and enterprise IT teams modernizing analytics, especially those with existing SAS programs. The AI Studio desktop app runs on Windows 10 and 11, Linux, and macOS 13 or 14, with 16GB RAM recommended for larger datasets. AI Hub deploys via Docker Compose or Kubernetes. Purchase is handled through the vendor.

What it can do

• Unify disparate data sources including databases, cloud storage, and files
• Extract data from PDFs and reports with self-service preparation
• Build machine learning models with visual drag-and-drop and AutoML
• Run existing SAS language programs without translation
• Create knowledge graphs with semantic ontologies for AI agents
• Produce explainable decision and strategy trees

Works with

• PostgreSQL
• Oracle
• Microsoft SQL Server
• MySQL
• Snowflake
• Teradata
• MongoDB
• Amazon S3
• Microsoft Azure Blob Storage
• Google Cloud Storage

Example workflows

Prepare PDF reports for modeling

Input: PDFs and spreadsheets. Steps: import with Monarch, cleanse and transform using pre-built functions, review lineage. Output: a prepared dataset with auditable history.

Modernize existing SAS programs

Input: existing SAS language code. Steps: run it in SLC alongside Python, R, or SQL. Output: analytics results without rewriting the programs.

Before you choose

• Available memory is the main factor limiting dataset size.
• Pricing and licensing require contacting the vendor.
• Some database and file formats are read-only or write-only, so check data direction before planning workflows.

Listed under

• Data
• Analytics and BI
• Analytics
• Data preparation
• Data science
• Data visualization
• Enterprise AI
• Knowledge graphs

Get started

Access is through the vendor's contact route.

1. Review system requirements for minimum and recommended hardware and operating system.
2. Install a 64-bit OpenJDK Java 17 runtime, manually on Linux if needed; use a full JRE rather than a headless one.
3. For AI Hub, choose a Docker Compose or Kubernetes template and review the deployment architecture first.

Contact the vendor for plan and pricing details.

We couldn’t find published prices for Altair RapidMiner. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Rapidminer software | Siemens ↗www.siemens.com
• System Requirements - Rapidminer Documentation ↗docs.rapidminer.com
• Install Rapidminer AI Hub - Rapidminer Documentation ↗docs.rapidminer.com

Company website

siemens.com: product, pricing and policy pages

YC directory mirror

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Human review

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.