G2 Vendor Directory

NVIDIA Merlin vs. Dataiku

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

MetricNVIDIA Merlin

by NVIDIA

Dataiku

by Dataiku

Overall rating4.54.4
Review count12267
Ease of use9.48.8
Ease of setup9.28.4
Quality of support9.38.7
Meets requirements9.48.9
NPS66.66666758.267717
Small Business54.5%18.6%
Mid-Market27.3%22.4%
Enterprise18.2%58.9%
Total page views2531,763
Total LLM citations14716,600

NVIDIA Merlin

NVIDIA Merlin empowers data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale. Merlin includes libraries, methods, and tools that streamline the building of recommenders by addressing common preprocessing, feature engineering, training, inference, and deploying to production challenges. Merlin components and capabilities are optimized to support the retrieval, filtering, scoring, and ordering of hundreds of terabytes of data, all accessible through easy-to-use APIs.

Pros

  • Scalability
  • Ease of Use
  • Reliability
  • Quality
  • Deployment Ease
  • Easy Setup

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