DataMelt vs. @RISK
A side-by-side comparison based on G2 review data.
| Metric | DataMelt | @RISK |
|---|---|---|
| Overall rating | 4.4 | 4.2 |
| Review count | 10 | 11 |
| Ease of use | 8.7 | 8.6 |
| Ease of setup | 0.0 | 9.3 |
| Quality of support | 8.3 | 7.9 |
| Meets requirements | 8.4 | 8.6 |
| NPS | 60 | 45.454545 |
| Small Business | 60.0% | 18.2% |
| Mid-Market | 20.0% | 63.6% |
| Enterprise | 20.0% | 18.2% |
| Total page views | 14 | 353 |
| Total LLM citations | 0 | 2,007 |
DataMelt
DataMelt is a computational environment that allows you to perform data analysis, mathematical and statistical calculations using scripting languages (Python/Jython, BeanShell, Groovy, JRuby, Matlab/Octave) on the Java and Android platforms.
@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.