G2 Vendor Directory

Xilinx Machine Learning vs. SAS Model Manager

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

MetricXilinx Machine Learning

by AMD

SAS Model Manager

by SAS Institute

Overall rating4.44.6
Review count1370
Ease of use8.98.3
Ease of setup8.27.0
Quality of support8.68.9
Meets requirements9.08.6
NPS46.15384678.571429
Small Business23.1%27.1%
Mid-Market30.8%15.7%
Enterprise46.2%57.1%
Total page views9491
Total LLM citations2220

Xilinx Machine Learning

The Xilinx ML Suite enables developers to optimize and deploy accelerated ML inference. It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as Python and RESTful APIs.

Pros

    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