ROOT vs. @RISK
A side-by-side comparison based on G2 review data.
| Metric | ROOT | @RISK |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 18 | 11 |
| Ease of use | 7.6 | 8.6 |
| Ease of setup | 9.5 | 9.3 |
| Quality of support | 7.9 | 7.9 |
| Meets requirements | 8.4 | 8.6 |
| NPS | 55.555556 | 45.454545 |
| Small Business | 55.6% | 18.2% |
| Mid-Market | 33.3% | 63.6% |
| Enterprise | 11.1% | 18.2% |
| Total page views | 35 | 353 |
| Total LLM citations | 14 | 2,007 |
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.
@RISK
Probabilistic Risk Analysis in Excel From the financial to the scientific, anyone who faces uncertainty in their quantitative analyses can benefit from @RISK. @RISK integrates directly into Microsoft Excel and employs Monte Carlo simulation to map out all possible scenarios and the probability they will occur – taking the guesswork out of big decisions. With @RISK, you can calculate the chances of making money on your next venture, staying within budget, and more to plan strategies with confidence. Buy now or request a free trial to start uncovering new opportunities.