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Backed By RapidMiner, Inc.
Visual data science and machine learning platform for analytics teams.
RapidMiner is a visual data science platform that enables analytics teams to build, validate, and deploy machine learning models without extensive coding. It offers drag-and-drop workflows, automated data preparation, and supports a wide range of algorithms for classification, regression, clustering, and text mining. RapidMiner integrates with databases, cloud storage, and business intelligence tools for seamless data mining and predictive analytics.
Drag-and-drop workflow builder
Automated data preparation
Supports classification, regression, clustering
Text mining and analytics
Deploy models as APIs
Integrate with BI and cloud tools
Full access to Altair AI Studio (formerly RapidMiner Studio) and other Altair products.
Advanced data preparation and ML capabilities
Enterprise-grade security and compliance
Visual Drag-and-Drop Workflow Designer (Low-Code/No-Code)
AutoML (Automated Clustering, Feature Engineering, Time Series)
Generative AI Tools (RAG, fine-tuning, access to 450,000+ LLMs)
Data Preparation and Wrangling Capabilities
Comprehensive Set of Built-in Algorithms/Operators
data science, enabling business analysts and domain experts to build and deploy models using a low-code/no-code interface.
ho need to modernize their workflows (Native SAS support).
e Python/Jupyter environments and find visual tools restrictive.
l licensing costs).
Democratizing data science and AI by providing a low-code, easy-to-use platform that accelerates the entire lifecycle from data prep to model deployment, with an explicit focus on leveraging modern GenAI capabilities safely and effectively.
High licensing cost for commercial users (starts at ~$7,500/user/year, though costs vary based on Altair Units). Model training and execution can be slow, especially with large datasets, leading to instability/crashing. Trial access and onboarding processes can be less straightforward than competitors, requiring manual approval. Steep learning curve for some advanced, complex features (despite the visual interface). Limited native compatibility with some niche databases.