What is SAS Viya?
SAS Viya (formerly SAS Visual Data Mining and Machine Learning) is a cloud-native, end-to-end data and AI platform that makes development easier and boosts productivity with tools that are friendly for everyone on your team. Solve the most complex analytical problems with a single, integrated, collaborative solution – now with its own automated modeling API.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
81 Likeliness to Recommend
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Since last award
94 Plan to Renew
1
Since last award
80 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+95 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love SAS Viya?
Pros
- Helps Innovate
- Enables Productivity
- Trustworthy
- Efficient Service
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Lineage & Basic Auditing
Data Discovery and Search
Data Cleansing
Data Access
Data Integration
Data Profiling
Data Connectors and Data Mashup
Cataloging
Data Security & Masking
Data Enrichment
Data Packaging
Vendor Capability Ratings
Ease of Implementation
Quality of Features
Ease of IT Administration
Business Value Created
Product Strategy and Rate of Improvement
Ease of Customization
Usability and Intuitiveness
Availability and Quality of Training
Breadth of Features
Ease of Data Integration
Vendor Support
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SAS Viya Reviews
Ramya E.
- Role: Operations
- Industry: Education
- Involvement: Business Leader or Manager
Submitted Sep 2024
Top features
Likeliness to Recommend
What differentiates SAS Viya from other similar products?
SAS Visual Data Mining and Machine Learning differentiates itself from other similar products through its comprehensive, end-to-end analytics platform that combines powerful data processing, advanced machine learning algorithms, and intuitive visual interfaces.
What is your favorite aspect of this product?
SAAS Visual Data Mining and Machine Learning excels in handling large datasets and complex statistical analyses, making it particularly strong for industries that require rigorous data scrutiny.
What do you dislike most about this product?
its steep learning curve, especially for users who are new to the SAS ecosystem or machine learning in general.
What recommendations would you give to someone considering this product?
Start with a clear understanding of your data science needs and how SAS’s advanced features can meet them.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Adewole O.
- Role: Information Technology
- Industry: Healthcare
- Involvement: IT Development, Integration, and Administration
Submitted Jul 2025
When it comes to modelling, you stop is here
Likeliness to Recommend
What differentiates SAS Viya from other similar products?
It allows an end to end work flow from data acess, preparation and modelling, building, and validation. Ease of integration within the SAS ecosystem
What is your favorite aspect of this product?
The drag and drop interface for modelling. I also like the R and python integration
What do you dislike most about this product?
The community support is not very vast compared to other product
What recommendations would you give to someone considering this product?
Invest in early tarining
Pros
- Continually Improving Product
- Performance Enhancing
- Trustworthy
- Efficient Service
Nwoye M.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted May 2025
Powerful Yet Complex.
Likeliness to Recommend
What differentiates SAS Viya from other similar products?
End-to-End Platform: SAS VDMML provides a fully integrated environment for the entire machine learning lifecycle—from data preparation to model deployment—without switching between multiple tools. AutoML and Model Interpretability: VDMML includes robust AutoML capabilities that automate the model-building process, while also offering interpretability tools like partial dependency plots and SHAP (SHapley Additive exPlanations) values to understand model behavior.
What is your favorite aspect of this product?
If I were to highlight the most impactful aspect of SAS Visual Data Mining and Machine Learning (VDMML), it would be its seamless integration of advanced analytics and interpretability within an enterprise-ready environment.
What do you dislike most about this product?
The main drawback of SAS Visual Data Mining and Machine Learning (VDMML) is its steep learning curve and interface complexity, especially for users who are not already familiar with SAS's ecosystem. Unlike more modern, streamlined platforms like DataRobot or Azure ML, VDMML's interface can feel cluttered and overwhelming, requiring substantial training to navigate effectively.
What recommendations would you give to someone considering this product?
Understand Your Use Case: SAS VDMML excels in enterprise-scale analytics, regulated industries (like finance and healthcare), and scenarios needing strong data governance. If your projects require interpretability, large-scale processing, or robust security, it's a solid choice. Evaluate Cost vs. Value: SAS is premium-priced. Ensure the value it brings—like advanced analytics, governance, and scalability—justifies the cost compared to alternatives like Azure ML, DataRobot, or AWS SageMaker.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing