IBM Decision Optimization vs. SAS Viya
A side-by-side comparison based on G2 review data.
| Metric | IBM Decision Optimization | SAS Viya |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 41 | 832 |
| Ease of use | 8.9 | 8.5 |
| Ease of setup | 8.6 | 8.3 |
| Quality of support | 8.8 | 8.6 |
| Meets requirements | 8.7 | 8.8 |
| NPS | 65.714286 | 56.162643 |
| Small Business | 22.0% | 34.5% |
| Mid-Market | 19.5% | 31.5% |
| Enterprise | 58.5% | 34.1% |
| Total page views | 122 | 2,874 |
| Total LLM citations | 988 | 8,976 |
IBM Decision Optimization
IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical and AI techniques to help with business decision-making including operational, tactical and strategic planning and scheduling use cases. The solutions enable business decision-makers to choose the optimal course of action from millions of alternatives when faced with decisions that involve multiple variables, trade-off possibilities and complex constraints.
SAS Viya
SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment.
- Ease of Use
- Features
- Analytics
- Data Analysis
- User Interface
- Data Visualization