Red Hat OpenShift Data Science vs. Google Cloud AutoML
A side-by-side comparison based on G2 review data.
| Metric | Red Hat OpenShift Data Science | Google Cloud AutoML |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 42 | 52 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.0 | 8.7 |
| Quality of support | 8.9 | 8.4 |
| Meets requirements | 8.9 | 8.8 |
| NPS | 80.487805 | 54.901961 |
| Small Business | 21.4% | 40.4% |
| Mid-Market | 38.1% | 38.5% |
| Enterprise | 40.5% | 21.2% |
| Total page views | 211 | 640 |
| Total LLM citations | 147 | 108 |
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.
Google Cloud AutoML
Google Cloud AutoML is a suite of machine learning products designed to enable developers with limited expertise to train high-quality custom models tailored to their specific business needs. By leveraging Google's advanced transfer learning and neural architecture search technologies, AutoML simplifies the process of building, deploying, and scaling machine learning models, making AI more accessible to a broader audience.
- Integrated Platform
- Intuitive
- Ease of Use
- AI Integration
- Easy Integrations
- Machine Learning