Red Hat OpenShift Data Science
Reviews
Star rating
Rank in Data Science and Machine Learning Platforms
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 21.4% |
| Mid-Market | 38.1% |
| Enterprise | 40.5% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2026 Q3 | 14 | 4.5 |
Satisfaction ratings
What reviewers say
Fully Supported, Centralized ML Platform That Lets Data Scientists Move Fast
“What I like most is how it provides a fully supported, centralized environment for machine learning. It abstracts away the complex Kubernetes infrastructure, allowing our data scientists to focus purely on building, training, and deploying models quickly rather than managing the ”
Seamless Scalability and Enterprise Security with Red Hat OpenShift Data Science
“Red Hat OpenShift Data Science is providing a seamless scalability , enterprises security , and Unified Environment. It has rich tool integration with Kubernetes.”
Red Hat OpenShift DS enabling smooth production transition & ML workflow
“The biggest win of Data science professional like us while using Red Hat Open shift is that it allows all engineers and scientist to seamlessly collaborate on project. The software helps us to self containerize enabling smooth development to product level deployment.”