SAS Visual Statistics vs. DataMelt
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Statistics | DataMelt |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 25 | 10 |
| Ease of use | 8.7 | 8.7 |
| Ease of setup | 8.3 | 0.0 |
| Quality of support | 9.0 | 8.3 |
| Meets requirements | 8.8 | 8.4 |
| NPS | 62.5 | 60 |
| Small Business | 32.0% | 60.0% |
| Mid-Market | 16.0% | 20.0% |
| Enterprise | 52.0% | 20.0% |
| Total page views | 80 | 14 |
| Total LLM citations | 4 | 0 |
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
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.