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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

IT Associate
1B - 3B USD, Transportation
FAVORABLE

“Migrating from an on-prem SAS 9.4 platform to a SAS Viya Hosted Managed Service as part of a Cloud Strategy”

4.0
Nov 24, 2025
We still believe that we made the right technical choice based on our situation, where the old platform did not meet the new business strategy where becoming a data driven organization was a key element. As part of the migration to the Cloud, moving from a SAS 9.4 platform on-prem to a SAS Viya Hosted Managed Platform was the most reasonable choice within the timeline we had available. For anyone in the same situation, and with a lot of legacy SAS code, I would recommend SAS Viya as a natural path forward. The overall experience with this platform has so far been very good, except for some challenges in being an early bird for SAS Viya with SingleStore and Airflow as a Hosted Managed Platform.
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
I like that you can build your own tools and models and flow everything together into visuals and connect multiple languages, however, the dashboards when building your own views can be chunky and need constant resizing to flow well with the dashboard and when you change a view I'd expect all other views would shrink. Runtime is long for certain procedures, this could most certaintly be an internal problem. handling large data sets and updating them then refreshing to see in the dashboards is time consuming, was expecting instantaneous connections.

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

(366 Ratings)

Rating Distribution

5 Star
54%
4 Star
37%
3 Star
8%
2 Star
1%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.3

Service & Support

4.5

Product Capabilities

4.5

Filter Reviews
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  • IT Associate
    1B-10B USD
    Transportation
    Review Source

    Migrating from an on-prem SAS 9.4 platform to a SAS Viya Hosted Managed Service as part of a Cloud Strategy

    4.0
    Nov 24, 2025
    We still believe that we made the right technical choice based on our situation, where the old platform did not meet the new business strategy where becoming a data driven organization was a key element. As part of the migration to the Cloud, moving from a SAS 9.4 platform on-prem to a SAS Viya Hosted Managed Platform was the most reasonable choice within the timeline we had available. For anyone in the same situation, and with a lot of legacy SAS code, I would recommend SAS Viya as a natural path forward. The overall experience with this platform has so far been very good, except for some challenges in being an early bird for SAS Viya with SingleStore and Airflow as a Hosted Managed Platform.
  • It Manager
    50M-1B USD
    IT Services
    Review Source

    SAS Viya Balances Advanced Analytics and Governance for Large-Scale Deployments

    5.0
    May 7, 2026
    I am using the ERS project for large data so my experience with SAS Viya has been very positive, particularly in enterprise and large-scale analytics environments. We are using it in the ERS project to create dashboards and insightful information. The platform offers a strong balance between advanced analytics, operational stability, governance and data insight. It is well suited for organizations that require reliable, scalable and auditable analytics across the full data and model lifecycle. While initial onboarding requires planning and enablement, the long-term value and performance make it a dependable analytics platform for mission-critical use cases
  • 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.
  • Research and Development Associate
    Gov't/PS/Ed
    Education
    Review Source

    Powerful Analytics Platform for Academic and Research Use

    5.0
    May 21, 2026
    I primarily use SAS Viya for statistical analysis processes. The platform's advanced analytics capabilities, strong performance when working with large datasets and user-friendly interface have made my overall experience very positive. It allows me to manage data preparation, modeling and reporting processes more efficiently. However, since the academic version has limited access to some features and resources, expanding the availability of tools and functionalities for academic users would further improve the learning and research experience.
  • DATA ANALYST
    <50M USD
    Healthcare and Biotech
    Review Source

    SAS Viya Offers Comprehensive AI Suite But Faces Complexity and Cost Concerns

    5.0
    Dec 19, 2025
    SAS Viya delivers a state-of-the-art, cloud-native AI and analytics platform that increases productivity, collaboration and speed. It allows users to easily shift from reporting to predictive insights, providing options for code, low code or no code that cater to everyone from data scientists to business users.
...
Showing Result 1-5 of 405

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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

Apart from SAS Viya's capabilities as a platform with a lot of opportunities and solutions, what stands out the most is the vendors' effort in working together with us solving the issues that occurred during migration. Having access to SAS R&D as well as SingleStore and Apache Airflow resources when needed, has been a key element in making this possible within the timeline available.

Like

the conglomerate of all tools in one place, R, Python, SAS, combined with visual analytics, also the fact you can use existing code in your own projects, that was pretty cool.

Like

SAS Viya is its enterprise-grade system combined with modern, cloud-native analytics capabilities. Memory processing significantly improves performance for large datasets and seamless integration with Python, R, and REST APIs allows teams to work collaboratively across different skill sets. Strong governance, security and model management features make it especially suitable for regulated industries where easy explainability, easy traceability and important compliance are essential. The platforms scalability and consistent performance make it reliable for mission critical production level analytics.

Dislike

The main issue we encountered was that part of the software was not 100% finished at the level we expected. To mitigate the most important parts, it was critical that we had skilled SAS consultants on the project, as well as a close relationship with SAS R&D. Hence, we got many of the fixes we requested delivered and applied without too many delays. We are also an early bird as a customer on SAS Viya with both SingleStore and Airflow as a hosted managed service, with the good and the bad following that scenario / choice. This is also the reason why I'm scoring some parts only as average, since we have yet to find the correct balance of what we as the customer should be allowed to administrate ourselves.

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 main challenge with SAS Viya is the learning curve as for new users, particularly those coming from purely open-source ecosystems. To leverage the platforms capabilities, organizations need to invest in training and skill development. The cost and licensing model may be a concern for smaller teams or short-term analytics initiatives, especially when compared to open-source alternatives. At times, the depth and breadth of features can feel overwhelming for users who are looking for quick, lightweight solutions; this is largely a result of the platforms enterprise-level design and comprehensive functionality.