G2 Vendor Directory

SAS Model Manager vs. WhyLabs

A side-by-side comparison based on G2 review data.

MetricSAS Model Manager

by SAS Institute

WhyLabs

by WhyLabs

Overall rating4.64.6
Review count7027
Ease of use8.38.7
Ease of setup7.08.9
Quality of support8.99.7
Meets requirements8.69.0
NPS78.57142981.481481
Small Business27.1%48.1%
Mid-Market15.7%25.9%
Enterprise57.1%25.9%
Total page views91121
Total LLM citations2202,260

SAS Model Manager

SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or projects, develop and validate candidate models, and assess candidate models for champion model selection. They can then publish and monitor champion models. All model development and model maintenance personnel, including data modelers, validation testers, scoring officers, and analysts can use SAS Model Manager.

Pros

  • Model Variety
  • Model Management
  • Analytics
  • Problem Solving
  • Machine Learning
  • Time-Saving

WhyLabs

The ability to control and observe the health of AI applications is critical for the success and ROI of every experience powered by either predictive or generative AI models. WhyLabs enables teams to deploy AI applications responsibly and run them without failure. From Fortune 100 companies to AI-first startups, teams have adopted WhyLabs’ tools to monitor ML and generative AI applications. WhyLabs’ open source tools and SaaS observability platform surface drift, data quality issues, bias, and hallucinations.

Pros

  • Customer Support
  • AI Capabilities
  • User Interface
  • Features
  • Flexibility
  • Time-Saving