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