Red Hat OpenShift Data Science vs. Dataiku
A side-by-side comparison based on G2 review data.
| Metric | Red Hat OpenShift Data Science | Dataiku |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 42 | 267 |
| Ease of use | 8.6 | 8.8 |
| Ease of setup | 8.0 | 8.4 |
| Quality of support | 8.9 | 8.7 |
| Meets requirements | 8.9 | 8.9 |
| NPS | 80.487805 | 58.267717 |
| Small Business | 21.4% | 18.6% |
| Mid-Market | 38.1% | 22.4% |
| Enterprise | 40.5% | 58.9% |
| Total page views | 211 | 1,763 |
| Total LLM citations | 147 | 16,600 |
Red Hat OpenShift Data Science
Red Hat® OpenShift® AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hybrid cloud environments. Built using open source technologies, OpenShift AI provides trusted, operationally consistent capabilities for teams to experiment, serve models, and deliver innovative apps.
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