SAS Visual Statistics vs. nQuery
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Statistics | nQuery |
|---|---|---|
| Overall rating | 4.4 | 4.8 |
| Review count | 25 | 11 |
| Ease of use | 8.7 | 9.1 |
| Ease of setup | 8.3 | 9.3 |
| Quality of support | 9.0 | 9.8 |
| Meets requirements | 8.8 | 9.7 |
| NPS | 62.5 | 90.909091 |
| Small Business | 32.0% | 27.3% |
| Mid-Market | 16.0% | 45.5% |
| Enterprise | 52.0% | 27.3% |
| Total page views | 80 | 26 |
| Total LLM citations | 4 | 16 |
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
nQuery
Design efficient, informative and ethical adaptive trials with nQuery. Use nQuery to minimize costs, reduce risks and boost efficiency in large-scale studies