Red Hat OpenShift Data Science vs. MATLAB
A side-by-side comparison based on G2 review data.
| Metric | Red Hat OpenShift Data Science | MATLAB |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 42 | 774 |
| Ease of use | 8.6 | 8.6 |
| Ease of setup | 8.0 | 8.8 |
| Quality of support | 8.9 | 8.8 |
| Meets requirements | 8.9 | 9.2 |
| NPS | 80.487805 | 65.384615 |
| Small Business | 21.4% | 31.5% |
| Mid-Market | 38.1% | 26.7% |
| Enterprise | 40.5% | 41.8% |
| Total page views | 211 | 740 |
| Total LLM citations | 147 | 3,160 |
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.
MATLAB
MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data.
- Ease of Use
- Features
- Data Visualization
- Tools Variety
- Simulation
- Mathematical Calculations