G2 Vendor Directory

Xilinx Machine Learning vs. Dataiku

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

MetricXilinx Machine Learning

by AMD

Dataiku

by Dataiku

Overall rating4.44.4
Review count13267
Ease of use8.98.8
Ease of setup8.28.4
Quality of support8.68.7
Meets requirements9.08.9
NPS46.15384658.267717
Small Business23.1%18.6%
Mid-Market30.8%22.4%
Enterprise46.2%58.9%
Total page views941,763
Total LLM citations216,600

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

    Dataiku

    Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI.

    Pros

    • Features
    • Ease of Use
    • Usability
    • Easy Integrations
    • Productivity Improvement
    • Collaboration