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.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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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.
90 Likeliness to Recommend
98 Plan to Renew
84 Satisfaction of Cost Relative to Value
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Since last award
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
- Effective Service
- Security Protects
- Reliable
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
Metadata Management
Root Cause Analysis
Data Cleansing
Dashboard
Data Matching
Data Validation & Business Rules Engine
Data Quality Workflow Management
Data Enrichment
Data Profiling
Reporting Components
Data Source Connectivity
Vendor Capability Ratings
Ease of Data Integration
Quality of Features
Ease of Implementation
Breadth of Features
Vendor Support
Availability and Quality of Training
Product Strategy and Rate of Improvement
Ease of Customization
Business Value Created
Ease of IT Administration
Usability and Intuitiveness
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SAS Viya Reviews
John V.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Jan 2025
Best Data Matching SAS Data Quality
Likeliness to Recommend
What differentiates SAS Viya from other similar products?
SAS Data Quality helps to maintain good Datasets because it has the robust feature in Data matching. That is one of the unique & differentiator for SAS Data Quality from other products.
What is your favorite aspect of this product?
Data matching is my favorite aspect in SAS Data Quality.
What do you dislike most about this product?
It is very hard to learn SAS Data Quality. For large datasets, system might become lag / slow. SAS DQ should rework on that aspect.
What recommendations would you give to someone considering this product?
If you or your company is looking for a good Data Cleansing, Data Matching & Data governance, then SAS Data Quality is the best product for you & your business.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Nathalia A.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Oct 2026
Precision and accuracy of data
Likeliness to Recommend
What differentiates SAS Viya from other similar products?
SAS Viya caught my eye with its ability to offer the combination of quality control and advanced analytics in one unified platform. SAS helps us detect errors, fix mismatched entries, and structure data properly before analysis. It also creates more reliable information for exact reporting and informed business decisions.
What is your favorite aspect of this product?
Being able to clean and unify data from scattered sources within a single environment makes it my favorite one. SAS Viya makes it easy to spot irrelevant entries and correct inconsistencies in the first stages of the process. This saves considerable manual effort and lets me focus on analyzing results and creating useful reports.
What do you dislike most about this product?
The interface is challenging initially. Some options are hard to find, and the workflow isn't very self-explanatory. Incorporation of built-in tutorials, improved menu structure, and contextual help would make daily work more efficient.
What recommendations would you give to someone considering this product?
Assess your current data quality needs carefully before implementation. Deal trials using your own data, check how well it fits in your existing systems, and allow adequate training time for your team.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Swati P.
- Role: Information Technology
- Industry: Other
- Involvement: End User of Application
Submitted Apr 2026
Use SAS Viya Where It Truly Matters
Likeliness to Recommend
What differentiates SAS Viya from other similar products?
After lots of analytics platform are either very research focused and great for data scientists but harder to operationalize . SAS Viya is how it bridges the gap between advanced analytics and real world production systems.
What is your favorite aspect of this product?
My favorite thing about SAS Viya I have seen a lot of tools where building models is easy but actually getting them into production is messy and what most stands out me is a governance and reliability.
What do you dislike most about this product?
I don't have any reason to dislike it's work faster and properly but I one things that while it's incredibly powerful but it not always the most lightweight or flexible option.
What recommendations would you give to someone considering this product?
I recommends everyone to use because it's id powerful platform and SAS Viya is designed to handle everything data access, model building and deployment in one place. You get most value out of it if you approach it with the right expectations and setup
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Trustworthy
