SAS Visual Statistics vs. BlueSky Statistics
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Statistics | BlueSky Statistics |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 25 | 13 |
| Ease of use | 8.7 | 9.2 |
| Ease of setup | 8.3 | 9.3 |
| Quality of support | 9.0 | 9.1 |
| Meets requirements | 8.8 | 8.6 |
| NPS | 62.5 | 69.230769 |
| Small Business | 32.0% | 61.5% |
| Mid-Market | 16.0% | 30.8% |
| Enterprise | 52.0% | 7.7% |
| Total page views | 80 | 44 |
| Total LLM citations | 4 | 70 |
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
BlueSky Statistics
Fully featured Statistics application and development framework built on the open source R project Provides familiar powerful user interface available in mainstream statistical applications like SPSS, SAS etc. Unlocks the power of R for the analyst community by providing a rich GUI and output for several popular statistics, data mining, data manipulation and graphics commands, all out of the box...