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SAS

SAS Viya

Composite Score

8.8 /10

CX Score

9.1 /10

78 Reviews Write a Review

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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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SAS Viya Ratings

Real user data aggregated to summarize the product performance and customer experience.

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.

89 Likeliness to Recommend

98 Plan to Renew

85 Satisfaction of Cost Relative to Value

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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?

0% Negative

4% Neutral

96% Positive

Pros

Helps Innovate
Performance Enhancing
Trustworthy
Efficient Service

Feature Ratings

Average 83

Data Cleansing

Data Enrichment

Dashboard

Record Management

Geocoding

Reporting Components

Data Matching

Data Profiling

Data Monitoring and Administration

Data Source Connectivity

Record Deduplication

Vendor Capability Ratings

Average 85

Ease of Implementation

Quality of Features

Breadth of Features

Ease of IT Administration

Ease of Data Integration

Business Value Created

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization

Vendor Support

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Data Preparation for Analytics

Score 7.9

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SAS Viya Reviews

Akash A.

Role: Human Resources
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2024

Superb idea

Likeliness to Recommend

10 /10

What differentiates SAS Viya from other similar products?

Connect with dataset directly

What is your favorite aspect of this product?

Accessible completed

What do you dislike most about this product?

Complex filtration

What recommendations would you give to someone considering this product?

Unique features

Pros

Helps Innovate
Enables Productivity
Trustworthy
Effective Service

Peter R.

Role: Information Technology
Industry: Energy
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2025

Data Cleansing & Standardization Platform.

Likeliness to Recommend

8 /10

What differentiates SAS Viya from other similar products?

De-duplicates and links records across datasets using advanced matching algorithms. Helps analysts work with a unified customer view.

What is your favorite aspect of this product?

Works with large enterprise datasets, not just spreadsheets.

What do you dislike most about this product?

Complex interface and rules engine compared to lighter tools

What recommendations would you give to someone considering this product?

SAS Data Quality has a learning curve; budget for training or hire an experienced SAS consultant.

Pros

Continually Improving Product
Enables Productivity
Efficient Service
Inspires Innovation

Sourabh P.

Role: Information Technology
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jul 2025

Robust and Reliable, But Needs Modernization.

Likeliness to Recommend

9 /10

What differentiates SAS Viya from other similar products?

SAS Data Quality stands out for its strong analytical foundation and deep integration with data science workflows. Unlike many tools that focus only on cleansing and matching, SAS ties data quality directly into broader analytics and machine learning pipelines. Its data profiling, parsing, and enrichment capabilities are highly customizable and backed by SAS’s decades of statistical expertise. Another key differentiator is its support for complex industry-specific rules and governance, which makes it ideal for regulated sectors like healthcare, finance, and insurance. Overall, it’s a powerful platform for organizations that treat data quality

What is your favorite aspect of this product?

My favorite aspect of SAS Data Quality is its powerful data profiling and parsing capabilities. It gives you a deep, detailed understanding of your data right from the start, helping you quickly spot inconsistencies, duplicates, and formatting issues. The fact that you can customize rules and workflows to fit very specific business needs is a huge plus. It’s especially valuable in complex environments where data quality isn’t just about cleanup—it’s about enabling accurate analytics and decision-making.

What do you dislike most about this product?

The biggest drawback of SAS Data Quality is its steep learning curve and complex interface. While it’s incredibly powerful, it’s not very beginner-friendly—especially for business users or those without a technical background. Setting up workflows or custom rules can feel overwhelming without proper training. Additionally, integration with modern cloud-native tools and platforms can require extra effort, which might slow down adoption in more agile or hybrid environments. A more intuitive UI and better out-of-the-box cloud connectivity would make a big difference.

What recommendations would you give to someone considering this product?

Ideal for Data-Driven Organizations: If your company heavily relies on analytics, forecasting, or regulatory reporting, SAS Data Quality is a great fit due to its deep profiling and rule-based cleansing. Be Ready for Training: The tool is powerful but not very intuitive at first. Invest in proper training or have experienced SAS professionals on your team to get the most out of it. Leverage Its Strengths: Use SAS's strong parsing, standardization, and matching tools, especially if your data spans multiple sources or formats. It’s particularly effective in industries with complex data structures.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

SAS Viya

What is SAS Viya?

Company Details

Need Assistance?

SAS Viya Ratings

89 Likeliness to Recommend

98 Plan to Renew

85 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+95 Net Emotional Footprint

How much do users love SAS Viya?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling, such as address standardization and the correction of known invalid values.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources.

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Record Management Includes ability for Data stewards to monitoring data quality, taking action to determine the root cause of flagged issues and recommending remediation actions.

Geocoding Includes geo-referencing, address validation and verification, data mapping, and data append.

Reporting Components Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

Data Matching Includes fuzzy matching, data comparison, and data merging.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Data Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Also Featured in...

Data Preparation for Analytics

SAS Viya Reviews

Akash A.

Superb idea

Likeliness to Recommend

Pros

Peter R.

Data Cleansing & Standardization Platform.

Likeliness to Recommend

Pros

Sourabh P.

Robust and Reliable, But Needs Modernization.

Likeliness to Recommend

Pros

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Feature Ratings

Data Cleansing

Data Enrichment

Dashboard

Record Management

Geocoding

Reporting Components

Data Matching

Data Profiling

Data Monitoring and Administration

Data Source Connectivity

Record Deduplication

Vendor Capability Ratings

Ease of Implementation

Quality of Features

Breadth of Features

Ease of IT Administration

Ease of Data Integration

Business Value Created

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization

Vendor Support