Cloud-native enterprise analytics and predictive modeling platform.
Need for high-performance modeling within strict regulatory compliance frameworks.
Managing scalable, cloud-native analytics infrastructure across hybrid environments.
Utilizing governed and auditable predictive models for decision-making.
The platform's enterprise pricing and infrastructure requirements are often prohibitive for small budgets.
Overly complex feature set for individual projects that do not require massive scale.
AI-powered tools that can replace or augment SAS Viya
Enterprise AI and machine learning platform that replaces SAS Viya for building, deploying, and managing predictive models at scale using automated machine learning and collaborative data science tools.
Enterprise AI platform for building and managing predictive models.
Analytics automation platform with AI-driven data preparation and machine learning capabilities that replaces SAS Viya for end-to-end data science workflows and automated insights.
Analytics automation platform for data prep and advanced analysis.
Open-source, low-code data science platform that replaces SAS Viya for visual workflow-based data processing, statistical analysis, and machine learning model development.
Open-source, low-code platform for data science and analytics.
SAS Viya typically utilizes a custom enterprise licensing model based on compute capacity and user seats, reflecting its position as a high-end analytical solution for large organizations.
