Visual Workflow Designer — Drag-and-drop interface for building data pipelines and ML workflows without code.
Automated Machine Learning (AutoML) — Automatically builds and optimizes models, making ML accessible to non-experts.
Extensive Operator Library — Over 1,500 pre-built operators for data processing, modeling, and evaluation.
Data Preparation and Blending — Connect to various data sources, clean, transform, and blend data easily.
Model Deployment and Management — Deploy models to production with REST APIs, and manage them with monitoring and retraining.
Collaboration and Governance — Share workflows, manage user roles, and ensure compliance with audit trails.
Integration with Big Data and Cloud — Runs on Hadoop, Spark, and cloud platforms like AWS and Azure for scalable processing.