NVIDIA Merlin vs. Dataiku
A side-by-side comparison based on G2 review data.
| Metric | NVIDIA Merlin | Dataiku |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 12 | 267 |
| Ease of use | 9.4 | 8.8 |
| Ease of setup | 9.2 | 8.4 |
| Quality of support | 9.3 | 8.7 |
| Meets requirements | 9.4 | 8.9 |
| NPS | 66.666667 | 58.267717 |
| Small Business | 54.5% | 18.6% |
| Mid-Market | 27.3% | 22.4% |
| Enterprise | 18.2% | 58.9% |
| Total page views | 253 | 1,763 |
| Total LLM citations | 147 | 16,600 |
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.
- 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.
- Features
- Ease of Use
- Usability
- Easy Integrations
- Productivity Improvement
- Collaboration