G2 Vendor Directory

SAS Model Manager vs. Dataiku

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

MetricSAS Model Manager

by SAS Institute

Dataiku

by Dataiku

Overall rating4.64.4
Review count70267
Ease of use8.38.8
Ease of setup7.08.4
Quality of support8.98.7
Meets requirements8.68.9
NPS78.57142958.267717
Small Business27.1%18.6%
Mid-Market15.7%22.4%
Enterprise57.1%58.9%
Total page views911,763
Total LLM citations22016,600

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

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