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  3. SAS Viya
Logo of SAS Viya

SAS Viya

bySAS
in
4.5
Market Presence: Analytics and Business Intelligence Platforms, Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)

Overview

Product Information on SAS Viya

Updated 13th October 2025

What is SAS Viya?

SAS Viya is a software platform designed for data management, analytics, and artificial intelligence tasks. It supports a range of analytical methods including data preparation, statistical analysis, machine learning, and deep learning. The software enables users to integrate data from multiple sources, perform complex data transformations, and build analytical models. SAS Viya supports collaborative workflows, allowing different users to access and work on data projects using a common platform. It offers programming interfaces in languages such as Python and R and provides deployment options that accommodate on-premise, cloud, and hybrid environments. The software addresses the challenge of deriving insights from large and diverse datasets to enable data-driven decision making in organizations.

SAS Viya Pricing

SAS Viya software offers a consumption-based pricing model where charges are determined by computing resources and usage capacity, measured through units or credits. This structure allows organizations to scale costs based on demand and specific workload requirements, rather than relying on traditional user or device counts.

Overall experience with SAS Viya

Finance Associate
1B - 3B USD, Banking
FAVORABLE

“SAS Viya offers powerful cloud native analytics platform with strong AI capabilities”

5.0
May 18, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Data Analyst
Gov't/PS/ED <5,000 Employees, Government
CRITICAL

“Building custom tools is flexible, but dashboards feel clunky”

3.0
May 21, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

About Company

Company Description

Updated 1st November 2023

SAS is a global leader in AI and analytics software, including industry-specific solutions. SAS helps organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. SAS gives you THE POWER TO KNOW®.

Company Details

Updated 31st October 2024
Company type
Private
Year Founded
1976
Head office location
Cary, United States
Number of employees
10001+
Annual Revenue
3B-10B USD
Website
http://www.sas.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

SAS Viya Reviews and Ratings

4.5

(163 Ratings)

Rating Distribution

5 Star
55%
4 Star
33%
3 Star
9%
2 Star
2%
1 Star
0%
Why ratings and reviews count differ?
  • Finance Associate
    1B-10B USD
    Banking
    Review Source

    SAS Viya offers powerful cloud native analytics platform with strong AI capabilities

    5.0
    May 18, 2026
    My overall experience with SAS Viya has been superb, particularly from the perspective of modern analytics, scalability and AI driven workflows. Compared to SAS environments, SAS Viya feels much more advanced, collaborative and cloud ready. Platform provides Strong combination for Data engineering, Machine Learning ML, Model Management and Visualization for large scale automated insights too along-with reporting.
  • Finance Associate
    1B-10B USD
    Banking
    Review Source

    SAS Viya offers powerful cloud native analytics platform with strong AI capabilities

    5.0
    May 18, 2026
    My overall experience with SAS Viya has been superb, particularly from the perspective of modern analytics, scalability and AI driven workflows. Compared to SAS environments, SAS Viya feels much more advanced, collaborative and cloud ready. Platform provides Strong combination for Data engineering, Machine Learning ML, Model Management and Visualization for large scale automated insights too along-with reporting.
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User Sentiment About SAS Viya
Reviewer Insights for: SAS Viya
Deciding Factors: SAS Viya Vs. Market Average
Performance of SAS Viya Across Market Features

SAS Viya Likes & Dislikes

Like

What I liked the most about SAS Viya is its cloud native architecture and integration of advanced analytics with modern programming ecosystems. The ability to work seamlessly with Python, REST APIs and distributed computing frameworks makes it highly flexible for Enterprise scale analytics. Large dataset handling capability is excellent too making it a go getter for regulated industries like BFSI.

Like

What I liked the most about SAS Viya is its cloud native architecture and integration of advanced analytics with modern programming ecosystems. The ability to work seamlessly with Python, REST APIs and distributed computing frameworks makes it highly flexible for Enterprise scale analytics. Large dataset handling capability is excellent too making it a go getter for regulated industries like BFSI.

Like

What I liked the most about SAS Viya is its cloud native architecture and integration of advanced analytics with modern programming ecosystems. The ability to work seamlessly with Python, REST APIs and distributed computing frameworks makes it highly flexible for Enterprise scale analytics. Large dataset handling capability is excellent too making it a go getter for regulated industries like BFSI.

Dislike

the time it takes to run forms on large datasets, update a large sas table, and then refresh to see it in the dashboards.

Dislike

the time it takes to run forms on large datasets, update a large sas table, and then refresh to see it in the dashboards.

Dislike

the time it takes to run forms on large datasets, update a large sas table, and then refresh to see it in the dashboards.