MLlib vs. SAS Viya
A side-by-side comparison based on G2 review data.
| Metric | MLlib | SAS Viya |
|---|---|---|
| Overall rating | 4.1 | 4.4 |
| Review count | 14 | 832 |
| Ease of use | 9.0 | 8.5 |
| Ease of setup | 8.9 | 8.3 |
| Quality of support | 7.7 | 8.6 |
| Meets requirements | 8.7 | 8.8 |
| NPS | 35.714286 | 56.162643 |
| Small Business | 21.4% | 34.5% |
| Mid-Market | 50.0% | 31.5% |
| Enterprise | 28.6% | 34.1% |
| Total page views | 22 | 2,874 |
| Total LLM citations | 6 | 8,976 |
MLlib
MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering, feature extraction, transformation, dimensionality reduction, and selection, tools for constructing, evaluating, and tuning ML Pipelines, saving and load algorithms, models, and Pipelines and linear algebra, statistics, data handling, etc.
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