SAS Visual Statistics vs. Orange
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Statistics | Orange |
|---|---|---|
| Overall rating | 4.4 | 4.2 |
| Review count | 25 | 33 |
| Ease of use | 8.7 | 8.7 |
| Ease of setup | 8.3 | 9.3 |
| Quality of support | 9.0 | 7.5 |
| Meets requirements | 8.8 | 8.6 |
| NPS | 62.5 | 51.724138 |
| Small Business | 32.0% | 60.6% |
| Mid-Market | 16.0% | 21.2% |
| Enterprise | 52.0% | 18.2% |
| Total page views | 80 | 207 |
| Total LLM citations | 4 | 628 |
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
Orange
Orange is an open-source software suite designed for data visualization, machine learning, and data mining. Developed by the Bioinformatics Laboratory at the University of Ljubljana, it offers a user-friendly, component-based visual programming interface that enables users to construct complex data analysis workflows without the need for coding. This makes Orange accessible to both beginners and experienced data scientists, facilitating efficient and interactive data exploration.
- Ease of Use
- Learning
- Machine Learning