--- title: SAS Viya Reviews meta_title: 'SAS Viya Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 809 reviews by the users' company size, role or industry to find out how SAS Viya works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 809 scale: '5' date_modified: '2026-07-14' parent_category: name: Analytics Tools & Software url: https://www.g2.com/categories/analytics-tools-software --- # SAS Viya Reviews **Vendor:** SAS Institute Inc. **Category:** [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) **Average Rating:** 4.3/5.0 **Total Reviews:** 809 ## About SAS Viya SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control. ## SAS Viya Pros & Cons **What users like:** - Users value the **user-friendly interface** of SAS Viya, which simplifies data analysis for all proficiency levels. (316 reviews) - Users praise SAS Viya for its **advanced analytical capabilities** , enabling real-time insights and decision-making across various industries. (218 reviews) - Users value the **advanced analytical capabilities** of SAS Viya, enhancing decision-making and providing deep business insights. (196 reviews) - Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing insights and decision-making across our organization. (166 reviews) - Users appreciate the **user-friendly interface** of SAS Viya, enabling easy access for varied technical skills. (147 reviews) - Intuitive (145 reviews) - Efficiency (143 reviews) - Users value the **powerful data visualization** capabilities of SAS Viya, enhancing insights and decision-making in their organizations. (138 reviews) - Insights (129 reviews) - Users value the **high performance efficiency** of SAS Viya, noting its speed and effectiveness in handling large data sets. (127 reviews) **What users dislike:** - Users find SAS Viya **difficult to use for non-technical users** , impacting their ability to access reports and dashboards. (151 reviews) - Users find the **learning curve steep** , making it challenging for non-technical users to utilize SAS Viya effectively. (144 reviews) - Users find the **visualization complexity** of SAS Viya challenging, especially for non-technical and new users. (143 reviews) - Users find the **difficult learning curve** challenging, especially for non-technical users accessing reports and dashboards. (117 reviews) - Users find the **pricing to be expensive** and often unclear, making it a significant concern during assessment. (108 reviews) - Users find SAS Viya to be **not user-friendly** , especially for non-technical users accessing reports and dashboards. (103 reviews) - Steep Learning Curve (96 reviews) - Complex Implementation (60 reviews) - Complex Usage (60 reviews) - User Difficulty (57 reviews) ## SAS Viya Reviews ### 1. Intuitive Interface with Fast, Practical Reporting for Massive Data **Rating:** 5.0/5.0 stars **Reviewed by:** Nahom K. | Business Development Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** July 10, 2026 **What do you like best about SAS Viya?** Its intuitive interface makes it easy to quickly identify opportunities, and the reports are genuinely practical. I especially appreciate how simple it is to filter by the report type I need, with a wide range of filters available. I also like that it can handle complex calculations and machine learning models in just seconds, even when working with massive volumes of data. **What do you dislike about SAS Viya?** This program is very comprehensive, and in my department we only use a few of its functions. Overall, my experience has been positive and beneficial: it eliminates the need to move data between different tools and keeps the entire analysis cycle within a single, secure environment. **What problems is SAS Viya solving and how is that benefiting you?** It has enabled us to turn complex data into fast, reliable operational decisions, largely addressing challenges around efficiency, accuracy, and integration. It has also helped us predict product demand more precisely—avoiding losses from excess inventory or stockouts—and accurately evaluate the creditworthiness of all our customers. ### 2. Valuable, Data-Driven Insights That Keep Getting Better **Rating:** 5.0/5.0 stars **Reviewed by:** Gilbert B. | Senior Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** July 13, 2026 **What do you like best about SAS Viya?** I’m very satisfied with the product. It consistently provides valuable information about the performance of our promotions, sales opportunities, margins, and underperforming stores. The data-driven analysis and trust-based strategy have been especially helpful for identifying questionable product matches and making the right adjustments. **What do you dislike about SAS Viya?** The implementation process has been very straightforward, and they’ve treated us like we’re their most important client. I don’t have anything negative to say at the moment. The product is constantly evolving, and with each new version they provide an even better experience. **What problems is SAS Viya solving and how is that benefiting you?** Before SAS Viya, I spent hours manually implementing pricing strategies to improve revenue and margins. Since adopting this platform, it has been instrumental in streamlining our pricing process. It integrates smoothly with our internal reports and gives us daily visibility into the prices major industry players are setting for their products, which makes it much easier to stay on top of changes. ### 3. Powerful & Transforming Data into Decisions—Effortlessly and Intelligently. **Rating:** 4.5/5.0 stars **Reviewed by:** Venkatesh D. | SAS Administrator, Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2026 **What do you like best about SAS Viya?** What I like best about SAS Viya is its powerful combination of advanced analytics and user-friendly interface. It allows both technical and non-technical users to work efficiently with data through its intuitive, cloud-based platform. The ability to handle large datasets quickly, along with built-in machine learning and AI capabilities, has significantly improved our decision-making process. I also appreciate the seamless integration with other tools and the flexibility it offers for customizing workflows. Overall, SAS Viya has made complex data analysis faster, more accessible, and more collaborative across teams. **What do you dislike about SAS Viya?** One downside of SAS Viya is that it can have a steep learning curve for new users, especially those without a strong analytics background. Additionally, the cost can be relatively high compared to other tools, and some advanced features require extra configuration, which can slow down initial setup. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya is solving the challenge of handling large, complex datasets and turning them into actionable insights quickly. Before using it, we struggled with slow processing and fragmented tools, but now we can perform advanced analytics, forecasting, and reporting in one unified platform. This has improved our decision-making speed, reduced manual effort, and increased overall efficiency across teams. ### 4. SAS Viya is a Powerful Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Deependra G. | Customer Support Engineer L2, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** September 18, 2025 **What do you like best about SAS Viya?** I use SAS Viya for reporting tool data management, report generation, and fetching data fast. I appreciate that statistical modeling and reporting are combined into one platform, making it a unified analytics platform. The cloud-based architecture and scalability make SAS Viya my first choice for software. It eliminates the need for multiple tools and improves workflow efficiency, allowing users to move seamlessly from raw data to insights without switching systems. The platform delivers powerful analytics capabilities, strong performance, and excellent scalability for handling complex data workloads. Although the installation is a bit complex, the support team from SAS is fantastic and makes the process easy and smooth, making it feel like we're using premium software. **What do you dislike about SAS Viya?** The software can be expensive compared to open source analytics tools, making it less accessible for small businesses or startups with limited budgets. Complex installation and maintenance. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya simplifies data management and integration, ensuring accuracy with real-time data. It streamlines reporting and analytics tasks, eliminating tool-switching to improve workflow efficiency. ### 5. SAS Viya is powerful and versatile, but challenging for beginners **Rating:** 4.5/5.0 stars **Reviewed by:** Arthur Diego P. | Business Intelligence Analyst, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** May 22, 2025 **What do you like best about SAS Viya?** - Extensive suite of tools for data preparation, analysis, reporting, and automation. - Clean and organized layout, with clearly separated micro tools that enhance productivity. - Powerful dashboard capabilities with high customization potential and interactive elements. **What do you dislike about SAS Viya?** - The platform can be quite complex for new users, with a steep learning curve. - There's limited access to free resources and open documentation, which makes self-learning more difficult compared to other platforms. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya is solving several key problems related to data integration, analysis, automation, and visualization—especially in complex enterprise and government environments. In my daily work, it provides a unified platform that allows me to connect to different data sources, perform data wrangling and transformation, run analytical models, and create interactive dashboards—all in one environment. ### 6. Powerful Analytics and Dashboards with Seamless Data Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Antonio M. | Analisa de BI, Mid-Market (51-1000 emp.) **Reviewed Date:** July 06, 2026 **What do you like best about SAS Viya?** Ability to integrate multiple data sources, develop interactive dashboards, manage large-scale datasets, enable data sharing and export, and leverage SAS AI capabilities to deliver advanced analytics and business insights. **What do you dislike about SAS Viya?** It is not yet a widely known platform, so there is still limited online documentation and community support available. Additionally, its cost is relatively high for most organizations. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya enables us to integrate multiple data sources, create interactive dashboards, automate reporting, and analyze large volumes of data in a single platform. This has reduced manual processes, improved reporting efficiency, and provided faster, more reliable insights for business decision-making. ### 7. It has had a perfect integration into multiple parts of the workflow **Rating:** 4.5/5.0 stars **Reviewed by:** Sivar G. | Director Business Intelligence, Small-Business (50 or fewer emp.) **Reviewed Date:** June 02, 2026 **What do you like best about SAS Viya?** I like the precision with which data can be extracted, because it helps pinpoint exactly what I want to understand or analyze. I also appreciate how intuitive the tool is: it enables all team members to create their own dashboards, and I love being able to turn metrics into charts and share links with other team members. **What do you dislike about SAS Viya?** Overall, it’s an excellent tool for report generation. It was one of the easiest tools I’ve implemented, and we had it up and running in under two days. I haven’t run into any issues or problems so far, and honestly, I don’t have anything negative to say about it. **What problems is SAS Viya solving and how is that benefiting you?** It has brought a radical change for us, delivering an excellent experience for developers by removing hidden semantic layers and reducing the disconnect between business insights and the data team’s understanding. It also saves us a lot of time and money thanks to the practical ability to centralize all our data and generate reports easily. ### 8. Effortless Unstructured Data Extraction with an Intuitive UI **Rating:** 5.0/5.0 stars **Reviewed by:** Cesar L. | Data Research Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** July 08, 2026 **What do you like best about SAS Viya?** I like that it uses efficient artificial intelligence models to extract information from unstructured data and turn it into meaningful data that can be used in predictive models. Overall, it’s a solid tool with an intuitive user interface. It also lets me generate usable data from system logs, which helps us improve productivity with minimal effort. **What do you dislike about SAS Viya?** It’s an excellent data management tool that can handle unstructured data while also providing strong security. On top of that, its cloud deployment across multiple regions is a real advantage. **What problems is SAS Viya solving and how is that benefiting you?** It greatly streamlines the process of quickly turning disorganized data into a clean, usable dataset for analysis, which helps me reach results faster and with more insight. On top of that, it provides strong collaboration features that make teamwork smoother and support efficient project management. ### 9. Integration with Python and R, complete cloud, and AI that makes it easier for beginners **Rating:** 4.0/5.0 stars **Reviewed by:** André V. | Senior Business Intelligence Analyst, Consulting, Mid-Market (51-1000 emp.) **Reviewed Date:** July 08, 2026 **What do you like best about SAS Viya?** Integration with other popular languages like Python and R, in addition to the fully integrated cloud environment. The interface is friendly and intuitive, the processing power is excellent, and the AI support greatly helps those who are just starting. **What do you dislike about SAS Viya?** Unlike other more popular languages, it is more difficult to get help from the community. Unfortunately, it is not a language so widely used, despite having an excellent return on investment. **What problems is SAS Viya solving and how is that benefiting you?** I am creating data intelligence dashboards for public clients and the integration greatly facilitates the work with the rest of the team. ### 10. A Powerful and Modern Platform for Advanced Analytics and Teaching **Rating:** 4.5/5.0 stars **Reviewed by:** Amir B. | Statistical Consultant and Graduate Instructor, Ontario Agricultural College, University of Guelph, Enterprise (> 1000 emp.) **Reviewed Date:** February 25, 2026 **What do you like best about SAS Viya?** What I like best about SAS Viya is how it combines the strength and reliability of traditional SAS with a modern, flexible environment. I appreciate the cloud-based structure, which makes it easier to access projects from different locations, and the integration of visual analytics with coding in SAS and Python. The interface is clean and intuitive, but still powerful enough for advanced modeling, including mixed models and large datasets. It feels scalable, efficient, and well-suited for both teaching and research environments. **What do you dislike about SAS Viya?** While SAS Viya is powerful, the transition from traditional SAS 9.4 can sometimes feel challenging, especially when certain procedures or workflows do not behave exactly the same way. Some advanced features require additional configuration or licensing, which can limit access depending on the setup. In addition, for new users, the interface and ecosystem can feel a bit overwhelming at first, particularly when navigating between different applications (e.g., Visual Analytics, Model Studio, programming). A smoother learning curve and clearer guidance for users migrating from earlier SAS versions would be helpful. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya helps solve the challenge of analyzing large, complex datasets efficiently while maintaining reproducibility and transparency. It provides scalable computing power, which is especially valuable when working with mixed models, high-dimensional data, or collaborative research projects. The integration of visual tools with programming also streamlines the workflow from data management to modeling and reporting. For me, this improves efficiency in both research and teaching, allowing me to demonstrate advanced methods clearly while handling real-world datasets more effectively. ## SAS Viya Discussions - [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments - [View SAS Viya pricing details and edition comparison](https://www.g2.com/products/sas-sas-viya/reviews/sas-viya-review-8055459?section=pricing&secure%5Bexpires_at%5D=2026-07-14+03%3A14%3A49+-0500&secure%5Bsession_id%5D=57ca90b5-1a16-46a1-8883-6418ddf48e08&secure%5Btoken%5D=b9599db6bd6fba9cdca154ce5ecb26f4e058cc0074c6aafa42b9fb7617a5e39a&format=llm_user) ## SAS Viya Integrations - [Apache Airflow](https://www.g2.com/products/apache-airflow/reviews) - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [Base SAS](https://www.g2.com/products/base-sas/reviews) - [Cloudera](https://www.g2.com/products/cloudera/reviews) - 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Quality Control - Data Sampling - Collaboration **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Data Preparation** - Connectors - Data Governance **Financial Planning** - Extended Planning - Reporting - Integration **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Integration** - Data - Applications **Setup** - Integration - Maintenance - No-Code **Integration - Machine Learning** - Integration **Agentic AI - Accounting & Finance** - Autonomous Task Execution **Agentic AI - FP&A (Financial Planning & Analysis) ** - Proactive Assistance - Decision Making **Data Ingestion & Preparation - Low-Code Machine Learning Platforms** - Automatic Data Profiling & Quality Assessment - Multi‑Source Connector Support - Schema Drift / Change Detection **Statistical Tool** - Scripting - Data Mining - Algorithms **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Financial Insight** - Budgeting - Forecasting - Planning **Data Interaction** - Profiling and Classification - Metadata Management - Data Modeling - Data Joining - Data Blending - Data Quality and Cleansing - Data Sharing - Data Governance **Analytics** - Reporting & Analytics **Compliance** - Sensitive Data Compliance - Policy Enforcement - Compliance Monitoring **Capabilities** - Data Visualization - Survival Analysis - Risk Data Attributes - Cost Analysis **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Security** - Access Control - Roles Management **Operations** - Metrics - Infrastructure management - Collaboration **Business Logic** - Authoring Business Logic - Testing Business Logic - Model Development **Data** - Security - Data Visualization **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **Model Construction & Automation - Low-Code Machine Learning Platforms** - Guided Algorithm & Hyperparameter Recommendation - Code Extensibility - Automated Feature Engineering **Data Analysis** - Analysis - Data Interaction **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Data** - Data Visualization - Data Analysis - Custom Reporting - Reporting Templates **Data Exporting** - Breadth of Integrations - Ease of Integrations - Data Workflows **Data Quality** - Data Preparation - Data Distribution - Data Unification **Methodology** - ANOVA Support - Regression - Time Series Analysis **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Security** - Data Encryption - User Access Control **Maintainence** - Data Quality Management **Management** - Cataloging - Monitoring - Governing **Management** - Catalog - Collaboration **Analysis** - Automation - Named entity recognition - Keyphrase Extraction - Topic Analysis - Sentiment Analysis - Language Identification - Syntax/Part of Speech Parsing **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification **Deployment** - Managed Service - Application - Scalability **Status Communication** - Collaboration - Version Control - Real-Time Data Updates - Scorecards **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching **Analytics** - Impact analysis - Simulation **Customization** - Pre-Built Parameterization - Custom Extension - Compositionality **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Management** - Reporting - Automation - Quality Audits - Dashboard **Deployment** - Application Development - Integration **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Agentic AI - Decision Management Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top SAS Viya Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,316 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (707 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (844 reviews)