SAS Visual Statistics vs. ROOT
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Statistics | ROOT |
|---|---|---|
| Overall rating | 4.4 | 4.3 |
| Review count | 25 | 18 |
| Ease of use | 8.7 | 7.6 |
| Ease of setup | 8.3 | 9.5 |
| Quality of support | 9.0 | 7.9 |
| Meets requirements | 8.8 | 8.4 |
| NPS | 62.5 | 55.555556 |
| Small Business | 32.0% | 55.6% |
| Mid-Market | 16.0% | 33.3% |
| Enterprise | 52.0% | 11.1% |
| Total page views | 80 | 35 |
| Total LLM citations | 4 | 14 |
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
ROOT
ROOT is a modular scientific software framework that provides all the functionalities needed to deal with big data processing, statistical analysis, visualisation and storage, it is mainly written in C++ but integrated with other languages such as Python and R.