Red Hat OpenShift Data Science vs. Deepnote
A side-by-side comparison based on G2 review data.
| Metric | Red Hat OpenShift Data Science | Deepnote |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 42 | 387 |
| Ease of use | 8.6 | 9.0 |
| Ease of setup | 8.0 | 9.1 |
| Quality of support | 8.9 | 8.9 |
| Meets requirements | 8.9 | 8.8 |
| NPS | 80.487805 | 70.75718 |
| Small Business | 21.4% | 67.7% |
| Mid-Market | 38.1% | 25.0% |
| Enterprise | 40.5% | 7.3% |
| Total page views | 211 | 631 |
| Total LLM citations | 147 | 5,340 |
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.
Deepnote
Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote gives anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications.
- Ease of Use
- Collaboration
- Team Collaboration
- Easy Integrations
- Data Management
- Integrations