ROOT vs. SAS Visual Statistics
A side-by-side comparison based on G2 review data.
| Metric | ROOT | SAS Visual Statistics |
|---|---|---|
| Overall rating | 4.3 | 4.4 |
| Review count | 18 | 25 |
| Ease of use | 7.6 | 8.7 |
| Ease of setup | 9.5 | 8.3 |
| Quality of support | 7.9 | 9.0 |
| Meets requirements | 8.4 | 8.8 |
| NPS | 55.555556 | 62.5 |
| Small Business | 55.6% | 32.0% |
| Mid-Market | 33.3% | 16.0% |
| Enterprise | 11.1% | 52.0% |
| Total page views | 35 | 80 |
| Total LLM citations | 14 | 4 |
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.
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