IBM Watson Studio vs. SAS Viya
A side-by-side comparison based on G2 review data.
| Metric | IBM Watson Studio | SAS Viya |
|---|---|---|
| Overall rating | 4.2 | 4.4 |
| Review count | 170 | 832 |
| Ease of use | 8.2 | 8.5 |
| Ease of setup | 7.9 | 8.3 |
| Quality of support | 8.5 | 8.6 |
| Meets requirements | 8.6 | 8.8 |
| NPS | 37.804878 | 56.162643 |
| Small Business | 30.8% | 34.5% |
| Mid-Market | 19.5% | 31.5% |
| Enterprise | 49.7% | 34.1% |
| Total page views | 215 | 2,874 |
| Total LLM citations | 1,844 | 8,976 |
IBM Watson Studio
IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale trustworthy AI and optimize decisions. Build, run, and manage AI models on any cloud through an automated end-to-end AI lifecycle--simplifying experimentation and deployment, speeding up data exploration and preparation, and improving model development and training. Govern and monitor models to mitigate drift and bias, and manage model risk.
- AI Technology
- AI Capabilities
- Ease of Use
- Machine Learning
- AI Modeling
- AI Integration
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