SAS Visual Statistics vs. Mnova MS
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Statistics | Mnova MS |
|---|---|---|
| Overall rating | 4.4 | 4.3 |
| Review count | 25 | 10 |
| Ease of use | 8.7 | 7.9 |
| Ease of setup | 8.3 | 0.0 |
| Quality of support | 9.0 | 8.8 |
| Meets requirements | 8.8 | 9.0 |
| NPS | 62.5 | 60 |
| Small Business | 32.0% | 40.0% |
| Mid-Market | 16.0% | 40.0% |
| Enterprise | 52.0% | 20.0% |
| Total page views | 80 | 21 |
| Total LLM citations | 4 | 6 |
SAS Visual Statistics
Multiple users can explore data, then interactively create and refine predictive models. Distributed, in-memory processing slashes model development time, quickly surfacing valuable insights you can act on.
- Ease of Use
- Machine Learning
- Analytics
- Customer Support
- Reporting
- Scalability
Mnova MS
Provides a common interface for different vendor data and automates all functionality such as data importing and display, integration, background subtraction, display of extracted mass chromatograms, molecule match, enumeration of molecular formulae, etc.