Azure Machine Learning vs. SAS Viya
A side-by-side comparison based on G2 review data.
| Metric | Azure Machine Learning | SAS Viya |
|---|---|---|
| Overall rating | 4.3 | 4.4 |
| Review count | 90 | 832 |
| Ease of use | 8.7 | 8.5 |
| Ease of setup | 8.6 | 8.3 |
| Quality of support | 8.8 | 8.6 |
| Meets requirements | 8.7 | 8.8 |
| NPS | 48.275862 | 56.162643 |
| Small Business | 33.3% | 34.5% |
| Mid-Market | 26.7% | 31.5% |
| Enterprise | 40.0% | 34.1% |
| Total page views | 239 | 2,874 |
| Total LLM citations | 1,035 | 8,976 |
Azure Machine Learning
Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces.
- Features
- Ease of Use
- Customer Support
- Data Management
- Implementation Ease
- Efficiency
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