Altair RapidMiner is a scalable, secure AI and data analytics platform designed for enterprise-level data integration, machine learning workflows, and predictive analytics.
Vendor
Altair
Company Website
Altair RapidMiner is a comprehensive data analytics and AI platform built for enterprises seeking to integrate and activate data across diverse systems. Designed for users of all skill levels—from data scientists to business executives—it provides both code-free and code-friendly tools to build powerful data science and machine learning pipelines. With an open, modular, and composable architecture, RapidMiner seamlessly integrates into cloud, on-premises, and hybrid environments. It empowers organizations to make data-driven decisions, enhance collaboration, and automate processes, ensuring faster insights, improved governance, and optimized performance. The platform supports real-time data processing, AI agents, and predictive analytics, helping businesses stay competitive in a fast-paced digital landscape.
Features:
- AI Fabric: A seamless integration of AI across business systems to drive automation and informed decision-making.
- Enterprise-Scale Knowledge Graphs: Build data knowledge graphs that align with human reasoning, enhancing AI model interpretation and user inquiry accuracy.
- Machine Learning Workflows: Streamline model creation, refinement, and deployment with automated, visual, and code-based approaches.
- Real-Time Data Processing: Spot anomalies, trends, and outliers in seconds with real-time data, enabling fast, data-driven decisions.
- Data Integration: Seamlessly integrate structured and unstructured data from diverse sources (e.g., PDFs, spreadsheets, and text files).
- Scalability and Flexibility: Supports cloud, on-premises, and hybrid infrastructures for optimal performance and cost-efficiency.
- Governance and Security: Control access with strong governance to ensure stakeholders receive the right level of data insights.
- Modernize Legacy Systems: Supports the transition from SAS language environments, offering open-source alternatives for better flexibility and cost savings.