--- title: SAS Viya Reviews meta_title: 'SAS Viya Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 818 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: 818 scale: '5' date_modified: '2026-08-13' 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:** 818 ## 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 **ease of use** of SAS Viya, which simplifies data visualization and enhances decision-making efficiency. (234 reviews) - Users value the **sophisticated analytical capabilities** of SAS Viya, enabling easy deployment and real-time decision-making. (218 reviews) - Users appreciate the **advanced analytical methods** offered by SAS Viya, enhancing decision-making and logistical data analysis capabilities. (196 reviews) - Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing business insight and strategic decision-making. (166 reviews) - Users love the **intuitive interface** of SAS Viya, making data analysis and model deployment effortless for all skill levels. (145 reviews) - Efficiency (143 reviews) - Users value the **high performance efficiency** of SAS Viya, noting its speed and effectiveness in handling large data sets. (127 reviews) - Flexibility (119 reviews) - Visualization (119 reviews) - Users value the **powerful data visualization** capabilities of SAS Viya, enhancing insights and decision-making in their organizations. (116 reviews) **What users dislike:** - Users find SAS Viya to have a **learning difficulty** , making it challenging for non-technical individuals to navigate effectively. (151 reviews) - Users find the **learning curve steep** , making it challenging for non-technical users to navigate SAS Viya effectively. (144 reviews) - Users find the **visualization complexity** in SAS Viya challenging, particularly for non-technical users and beginners. (143 reviews) - Users struggle with the **difficult learning curve** of SAS Viya, particularly for new and non-technical users. (117 reviews) - Users find the **expensive pricing** of SAS Viya to be a significant barrier to entry for potential adoption. (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. Powerful Analytics Platform with Robust Features, But Setup Can Be Complex **Rating:** 3.5/5.0 stars **Reviewed by:** Ramy B. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 11, 2025 **What do you like best about SAS Viya?** What I like best about SAS Viya is its modern, cloud-native architecture built on Kubernetes, which makes it scalable, flexible, and easy to deploy across different environments. It provides a unified platform that integrates data management, analytics, AI, and visualization in one place, allowing users to move seamlessly from data preparation to model deployment. I also appreciate its multi-language support for SAS, Python, and R, enabling collaboration between different teams, along with its intuitive web-based tools like SAS Studio and Visual Analytics. Additionally, Viya offers strong governance, enterprise-grade security, and high-performance in-memory processing through CAS, making it both powerful and user-friendly for a wide range of analytics workloads. **What do you dislike about SAS Viya?** One aspect I find challenging about SAS Viya is its tendency to be resource-intensive, often demanding substantial CPU, memory, and storage to operate efficiently, particularly in larger environments. The process of installation and upgrading can also be quite complicated, as it typically involves coordinating multiple services and dependencies. Furthermore, troubleshooting can be a lengthy process, since it sometimes requires in-depth knowledge of both SAS components and the underlying infrastructure. I also think that some users might perceive the interface and integration with third-party tools as less intuitive when compared to more modern, lightweight analytics platforms. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya is solving the problem of managing, analyzing, and visualizing large volumes of data efficiently across different environments. It provides a unified platform for data integration, advanced analytics, and machine learning, which helps streamline workflows and reduce the complexity of moving between tools. By enabling collaboration between data scientists, analysts, and business users, SAS Viya improves productivity and decision-making. Its scalability and ability to run on cloud or on-premises infrastructure also allow organizations to handle growing data demands with flexibility and performance. ### 2. Great Macro Language, Hard-to-Look Interface but Outdated Interface, **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** February 06, 2026 **What do you like best about SAS Viya?** A macro language with a simple, straightforward syntax that stays easy to work with, even at more advanced levels. Keeping code and other features—like dashboarding and environment control—in one place makes it easier to manage complex scenarios and improves overall usability. Performance is good—certainly toward the higher end of the speed spectrum for statistical programming. **What do you dislike about SAS Viya?** The logs are often vague and not very helpful. Across most products, the interface is unpleasant to look at and feels outdated, and the code text is frequently too small to read comfortably. Support and documentation could be better as well. Python integration is fairly middle-of-the-road and seems to depend heavily on having access to admin commands, since installing new libraries can be difficult. **What problems is SAS Viya solving and how is that benefiting you?** Statistics are still the strong point, and data processing is also a major strength. That said, it isn’t always the simplest when it comes to writing code for certain tasks, such as joins or text-based analysis. ### 3. 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. ### 4. 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. ### 5. 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. ### 6. Versatile Analytics Tool with a Few Scalability Concerns **Rating:** 3.5/5.0 stars **Reviewed by:** SAURABH R. | Senior AI Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2025 **What do you like best about SAS Viya?** I like SAS Viya's low code, no code interface because it allows people who don't know how to code to pretty much do everything. You can create dashboards, models from scratch, and data pipelines. It gives you the option to either code or use drag and drop. As a non-tech person, you can do almost anything you want on SAS Viya without ever writing code. That's something very unique. **What do you dislike about SAS Viya?** In my experience, when we tried to create reports which are quite extensive on SAS Viya, they tend to slow down a bit and get laggy, making me feel they're not that scalable. If the data keeps increasing, it might not scale as much as we want it to. I also have a complaint with SAS Intelligent Planning; the user interface is quite outdated and configuring it is complicated. The learning curve is quite steep, especially in today's age where tools are expected to be intuitive and easy to adapt. Additionally, installing SAS Viya can be complicated, with potential issues during installation and configuration. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya for creating data pipelines, dashboards, and predictive models. It provides end-to-end data capabilities and offers a low code, no code interface, empowering non-tech people to build models and reports without writing code. ### 7. Powerful, Cloud-Based Analytics Platform with Scalable ML and Visualization **Rating:** 4.0/5.0 stars **Reviewed by:** John M. | Medical, Enterprise (> 1000 emp.) **Reviewed Date:** February 06, 2026 **What do you like best about SAS Viya?** What I like best about SAS Viya is that it combines powerful data analytics, machine learning, and visualization into one modern, cloud-based platform. It allows users to process large datasets quickly using scalable computing while supporting multiple programming languages like SAS, Python, and R, which makes collaboration easier across teams. I also like that it integrates the entire analytics workflow from data preparation to model deployment and monitoring into a single system, helping organizations work more efficiently while maintaining strong data governance and security. **What do you dislike about SAS Viya?** One potential downside of SAS Viya is that it can have a steep learning curve, especially for users who are new to SAS or enterprise analytics platforms. The cost of licensing and implementation can also be high compared with some open-source alternatives, which may limit accessibility for smaller organizations. Additionally, while Viya supports multiple programming languages, some advanced customization can still feel more seamless within the SAS ecosystem, which may reduce flexibility for teams that primarily work in open-source environments. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya solves the challenge of managing and analyzing large, complex datasets efficiently while streamlining the entire analytics workflow in one platform. It helps by reducing the need to switch between multiple tools for data preparation, modeling, and deployment, which improves productivity and collaboration across teams. The platform’s scalable, cloud-based computing allows analyses to run faster and handle larger datasets, leading to quicker insights and better decision-making. For my medical projects, I needed quick and reliable statistical analyses, and SAS consistently provided accurate, reproducible results. Additionally, its built-in governance and model monitoring help ensure reliability, transparency, and compliance, which supports consistent and trustworthy outcomes. ### 8. SAS Viya: Cloud-Native, High-Performance Analytics with Flexible Language Support **Rating:** 5.0/5.0 stars **Reviewed by:** Sachin M. | Biostatistician, Enterprise (> 1000 emp.) **Reviewed Date:** February 05, 2026 **What do you like best about SAS Viya?** What I like most about SAS Viya is its cloud-native architecture and strong performance. It enables faster data processing through in-memory analytics, supports Python, R, and SQL alongside SAS, and offers convenient access via a web-based interface. Overall, these capabilities make analytics more scalable, collaborative, and flexible than in traditional SAS environments. **What do you dislike about SAS Viya?** What I dislike about SAS Viya is its steeper learning curve, particularly for users who are new to cloud environments. Migrating from SAS 9 can be complex, and the administration and licensing costs can be high. In addition, some traditional SAS features behave differently in Viya, which may require adaptation, retraining, and extra time to adjust. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya addresses common challenges in traditional analytics platforms, such as scalability limits, slow processing, and restricted integration options. It enables faster in-memory analytics, supports large and complex datasets, and integrates smoothly with Python, R, and cloud environments. For me, this translates into shorter run times, better collaboration, and a more efficient way to work on modern analytics tasks, including clinical and biostatistical workflows. ### 9. SAS Viya Review: A Powerful Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Aarsh B. | Technical officer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 08, 2026 **What do you like best about SAS Viya?** SAS Viya provides a unified, cloud‑native platform that combines advanced analytics and AI tools with strong flexibility for both coders and non‑technical users. It simplifies data preparation and visualization, integrates smoothly with existing systems, and supports tasks ranging from quick exploration to complex modeling. Its machine learning and governance features ensure enterprise‑level trust and transparency, while fostering accessibility and collaboration across teams. The onboarding process was seamless, and the supportive trainer enhanced the overall experience. **What do you dislike about SAS Viya?** While SAS Viya stands out as a robust analytics platform, it does come with a number of challenges. The cost can be a significant barrier for smaller teams, especially when compared to open-source options. The interface is generally user-friendly, but accessing and mastering advanced features often involves a steep learning curve, particularly for those new to SAS. Although integration with Python and R is available, it can feel unwieldy at times, and the platform's performance may fluctuate depending on the specific cloud environment. Additionally, the documentation sometimes lacks depth for more complex troubleshooting, which can make SAS Viya less suitable for organizations that prioritize flexibility and cost-effectiveness. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya unifies data preparation, analysis, and visualization into a single platform, eliminating the need to juggle multiple tools or teams. This integration enables faster reporting, smoother collaboration, and greater confidence in results. Automation reduces manual effort, while cloud scalability ensures long‑term relevance. Overall, the platform streamlines workflows and makes advanced analytics more accessible and efficient. ### 10. Powerful Data Insights, Needs Better Compatibility **Rating:** 4.0/5.0 stars **Reviewed by:** Alhussien N. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 23, 2025 **What do you like best about SAS Viya?** I like how SAS Viya can integrate with other systems and show dashboards. I appreciate the great things it can do with data, like creating charts, AI models, and data indexing. These features help us a lot with taking decisions and with many other things. **What do you dislike about SAS Viya?** I have issues with compatibility with other applications when using SAS Viya. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya to integrate with other systems and show dashboards. It helps us a lot with taking decisions, making great things with data like charts, AI models, and data indexing. ### 11. Powerful, Scalable Analytics with User-Friendly Cloud Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Osama H. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** December 01, 2025 **What do you like best about SAS Viya?** What I like best about SAS Viya is its ability to combine powerful analytics with a modern, cloud-native architecture. It provides a unified platform where data preparation, machine learning, reporting, and model deployment all happen in one place. The scalability is excellent because it runs on Kubernetes, which makes it easy to handle large workloads and integrate with existing cloud environments. I also appreciate how user-friendly it is for both technical and non-technical users — from data scientists who prefer coding to business users who rely on visual interfaces. This combination of flexibility, performance, and ease of collaboration is what really stands out. **What do you dislike about SAS Viya?** While SAS Viya is a powerful analytics platform, there are a few areas that could be improved: High learning curve: Some advanced features can feel complex for new users, especially those without prior SAS experience. Cost and licensing model: Viya can be relatively expensive for organizations with limited budgets. Resource consumption: The platform can be heavy on infrastructure resources, which requires strong hardware or cloud capacity. User interface complexity: Although it has improved over time, some parts of the UI can still feel less intuitive compared to newer analytics tools. Integration challenges: Integrating Viya with certain external systems or custom pipelines sometimes requires additional effort. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya helps unify data processing, analytics, and machine learning in one platform. It solves the problem of having scattered tools by providing a single environment where teams can access data, run models, share results, and deploy analytics faster. This improves productivity, reduces manual work, and ensures consistent, reliable insights. ### 12. Cloud-Native Powerhouse for Advanced Analytics **Rating:** 4.0/5.0 stars **Reviewed by:** Rena P. **Reviewed Date:** February 13, 2026 **What do you like best about SAS Viya?** I particularly like SAS Viya's cloud native architecture and scalability, enabling seamless integration of data preparation, advanced analytics, and machine learning within a single platform. The user-friendly UI combined with powerful statistical capabilities makes it efficient for both technical users and business stakeholders. I appreciate its strong governance, model management, and deployment capabilities, which make transitioning from development to production very smooth and reliable. **What do you dislike about SAS Viya?** I believe while SAS Viya is a very powerful analytics platform, there is still room for improvement in terms of ease of onboarding and cost structure. The learning curve can be steep for new users, especially when transitioning from open-source ecosystems like Python. Additionally, deeper integration and flexibility with certain third-party tools, and more streamlined UI workflows, could further enhance the product's usability. Also, expanding community resources and documentation would be helpful for smoother adoption for smaller teams. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya solves challenges in large-scale data processing and model deployment, streamlining data preparation, reducing manual analysis time, and enabling scalable workflows. It enhances collaboration through centralized management and accelerates decision-making with efficient insights from complex data. ### 13. Scalable Cloud Analytics with Powerful Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Business Supplies and Equipment | Small-Business (50 or fewer emp.) **Reviewed Date:** October 23, 2025 **What do you like best about SAS Viya?** I use SAS Viya for end-to-end data management and deploying machine learning models to optimize business operations. It eliminates data silos by providing a unified cloud platform where our team can collaborate on large-scale analytics. I really appreciate the high-performance cloud analytics service (CAS) engine that allows for rapid processing of massive enterprise datasets. The seamless integration with Python and Microsoft Office makes it the perfect choice for my profession. We migrated from an older on-premise SAS environment to leverage the improved scalability and cloud-native architecture of SAS Viya. The deployment was managed by our IT team and was very efficient. **What do you dislike about SAS Viya?** The administrative side of managing user permissions and cloud resources can be overly complex for smaller IT teams. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya for end-to-end data management and deploying machine learning models. It eliminates data silos by providing a unified cloud platform, allowing my team to collaborate on large-scale analytics. ### 14. Fast, Cloud-Compatible, Yet Code-Heavy **Rating:** 4.0/5.0 stars **Reviewed by:** Nazmul R. **Reviewed Date:** February 06, 2026 **What do you like best about SAS Viya?** I use SAS Viya to teach my students analytics methods, and I really appreciate that it's a web-based platform, so we don't need to deal with software updates or admin approvals. It's also faster than the standard platform and can be accessed from the cloud. I think the main feature is that it is lightweight, fast, and can be used across a variety of device types. I find it student-friendly and relatively easy to learn, with a lot of helpful resources available to dive deeper into. **What do you dislike about SAS Viya?** It is still code-heavy and some students find it challenging. It would be nice to have some kind of code helper for the platform. The initial setup was not very hard but could have been easier. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya saves us from dealing with software updates and admin approvals, conserving our computing resources. It's faster than standard platforms, usable from the cloud, and student-friendly, making analytics methods easier to learn. ### 15. Powerful, Integrated Platform with Excellent Support—But Persistent Bugs Frustrate **Rating:** 2.5/5.0 stars **Reviewed by:** Muratcan K. | Data Analytics Assistant Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** October 28, 2025 **What do you like best about SAS Viya?** As a SAS consultant, I appreciate the wide range of integrated products and how seamlessly they work together within the Viya ecosystem. The user interfaces are modern, clear, and easy to navigate, especially in tools like SAS Intelligent Decisioning, Visual Investigator, and SAS Studio, which I use extensively. Viya enables efficient model design, deployment, and monitoring within a unified environment. Another strong aspect is customer support — tickets are usually addressed quickly, and the support team is responsive and helpful. **What do you dislike about SAS Viya?** Although SAS Viya is a powerful platform, it frequently suffers from unexpected bugs and random errors, many of which are difficult to diagnose. These issues often consume unnecessary time and patience. While support is responsive, some problems remain unresolved or reappear after updates, and macros or components occasionally break due to version changes. For a 2025-level technology, many of these errors feel too basic and avoidable, which can be disappointing from a customer’s perspective and should be anticipated better in such a mature product. **What problems is SAS Viya solving and how is that benefiting you?** I have worked on multiple banking and audit projects, and SAS Viya — especially Intelligent Decisioning — has been extremely effective for rule creation, fraud detection, and case management. Its seamless integration with other Viya components such as SAS Studio and Visual Investigator allows smooth end-to-end workflows, where each product serves a specific purpose while remaining interconnected. Although I haven’t used Visual Analytics extensively, it appears to be a strong tool for analyzing the scoring outputs generated in Intelligent Decisioning. Overall, despite the occasional bugs, SAS Viya provides a powerful and well-connected environment for decision automation and fraud analytics. ### 16. Robust Analytics Platform with Seamless Integration and Strong Governance **Rating:** 5.0/5.0 stars **Reviewed by:** Rui Rodrigo C. | IT Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** October 23, 2025 **What do you like best about SAS Viya?** SAS Viya 4.0 stands out as a robust, cloud-native analytics platform tailored for advanced data science, machine learning, and model management. Its strong integration with Python, R, and REST APIs makes it particularly well-suited for enterprise environments that require scalability, governance, and high performance. The platform covers the entire analytics lifecycle, from data ingestion through to model deployment and monitoring, all while maintaining compliance and auditability. Among its strengths are high-performance distributed processing, which is ideal for handling large datasets, and seamless integration with open-source tools and modern ecosystems. The platform also offers comprehensive governance features, including access control, versioning, and audit trails. Interactive dashboards and autocharting capabilities further enhance business communication, and its end-to-end pipeline support streamlines data science workflows. I recommend SAS Viya for organizations with mature analytics practices, structured technical teams, and a strong emphasis on data governance. It is especially suitable for mission-critical projects that demand reliability, scalability, and integration with contemporary tools. To fully realize its benefits and ensure a smooth transition, a carefully planned onboarding strategy is essential. **What do you dislike about SAS Viya?** High licensing costs are a significant concern, as the pricing model is complex and can be prohibitive for small or mid-sized organizations. The platform also presents a steep learning curve, requiring substantial training, particularly for those transitioning from SAS 9.4 or moving from open-source environments. Additionally, SAS Viya is closely tied to Kubernetes environments such as AKS. While alternatives like Azure Container Apps (ACA) provide a more straightforward, serverless option, they are not officially supported and necessitate custom validation and testing. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya addresses several key challenges in enterprise analytics and data science workflows. By providing a unified analytics environment, it brings together data preparation, modeling, deployment, and monitoring within a single platform. This centralization reduces the need for multiple tools and enhances collaboration among teams. In terms of scalability and performance, Viya is capable of efficiently processing large volumes of data, which leads to faster insights and supports demanding workloads. Its governance and compliance features, such as built-in access controls, audit trails, and versioning, help organizations meet regulatory requirements like GDPR and maintain data integrity. Additionally, Viya integrates smoothly with modern ecosystems, offering native support for Python, R, REST APIs, and cloud services, which makes it easy to connect with existing infrastructure and open-source tools. The platform also streamlines the operationalization of machine learning models, making it easier to deploy, monitor, and retrain models in production, thereby accelerating the time-to-value. In my role as a data science specialist, SAS Viya empowers me to deliver robust, scalable solutions with strong governance. It enhances my productivity through automation, supports reproducibility, and makes it easier to communicate with both technical and non-technical stakeholders using interactive dashboards and standardized pipelines. ### 17. Powerful Analytics Platform with Steep Learning Curve and Complex Setup **Rating:** 5.0/5.0 stars **Reviewed by:** Jenita M. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** October 23, 2025 **What do you like best about SAS Viya?** I appreciate how SAS Viya brings together advanced analytics, AI, and data management in one cloud-native platform. Its scalability, speed, and collaborative tools help connect data scientists, analysts, and business users more effectively. The visual interfaces, along with support for various programming languages, also contribute to making analytics tasks more efficient and adaptable. **What do you dislike about SAS Viya?** Although SAS Viya is a powerful platform, it can be quite complex to set up and manage, particularly for newcomers or smaller teams lacking extensive SAS expertise. Certain modules present a steep learning curve, and in some cases, the documentation could be more straightforward. Additionally, pricing and licensing may pose difficulties for organizations aiming to scale up incrementally. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya addresses the challenge of integrating data from various sources and transforming it into actionable insights with impressive speed. It simplifies the entire analytics lifecycle, covering everything from data preparation and model development to deployment and monitoring. As a result, collaboration among teams has improved, the time required to gain insights has decreased, and the accuracy and scalability of our analytics processes have both increased. ### 18. Powerful Analytics with a Learning Curve **Rating:** 4.0/5.0 stars **Reviewed by:** Bhavesh A. **Reviewed Date:** January 18, 2026 **What do you like best about SAS Viya?** I like SAS Viya because of its powerful analytics, cloud scalability, and automated machine learning, which help in building predictive models and analyzing large datasets efficiently. I appreciate its strong model governance that supports reliable enterprise decision-making. The AutoML feature accelerates model building, while Visual Analytics delivers clear insights. The cloud scalability simplifies workflows and handles large data efficiently, making it an essential part of my analytics toolkit. **What do you dislike about SAS Viya?** SAS Viya can feel complex for new users, setup takes time, and licensing costs are high, which can be challenging for small teams. The initial setup was moderately challenging, requiring technical expertise and time. Offering simpler onboarding, clearer tutorials, faster initial setup options, and more flexible pricing plans would better support new users and small teams. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya solves complex data challenges by analyzing large datasets, automating models, improving insights, and enabling faster, confident business decisions. ### 19. Effortless Analytics and Robust Security with SAS Viya **Rating:** 4.5/5.0 stars **Reviewed by:** Sahith s. **Reviewed Date:** December 25, 2025 **What do you like best about SAS Viya?** I find SAS Viya's cloud-nature and in-memory CSR engine great for enabling fast analytics on large-scale datasets without needing to rewrite existing code. I appreciate its strong governance and security, which are critical in regulated environments like clinical research. Its interactive visual analytics and automation capabilities are fantastic for allowing faster insights and better decision-making. I also like how SAS Viya integrates well with R for advanced analytics and its ability to seamlessly ingest data and deploy models with cloud storage platforms and databases. Transitioning from SAS 9.4 to SAS Viya provided better scalability, cloud readiness, and faster processing while allowing us to modernize workflows while retaining SAS code and validation practices. **What do you dislike about SAS Viya?** The initial setup of SAS Viya was more complex than a traditional SAS 9 installation due to its cloud-native architecture. The main challenges were around the infrastructure configuration and security integration, though once those were addressed, the platform proved to be stable and scalable. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya to simplify data analysis and create understandable graphs. Its cloud nature and in-memory engine enable fast analytics on large datasets without rewriting code. The platform's governance, security, interactive analytics, and automation capabilities provide faster insights and support better decision making. ### 20. Empowers Learning with Flexible Machine Learning Tools **Rating:** 5.0/5.0 stars **Reviewed by:** Kaia E. **Reviewed Date:** February 13, 2026 **What do you like best about SAS Viya?** I like that SAS Viya is free, and the tests are affordable. I appreciate the sessions and classes that are offered for some subjects, and I love being able to learn at my own pace while gaining a skill that I can use lifelong for numerous things. **What do you dislike about SAS Viya?** I feel like some of the sessions/classes could be a little longer or at least have tutoring offered. The initial setup was a bit confusing but once I contacted support and read the help articles to complete setup, it was a bit easier. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya for learning coding and machine building with data. It simplifies complex machine learning without needing advanced equipment or skills, and it's free, so I save money developing new skills. ### 21. Powerful Cloud Analytics Platform with Seamless Collaboration **Rating:** 4.5/5.0 stars **Reviewed by:** shashank J. | Business Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** December 15, 2025 **What do you like best about SAS Viya?** SAS Viya runs in the cloud, supports multiple languages (Python, R, SAS), and integrates advanced analytics, AI, and machine learning in a single platform—making it easy to handle big data and collaborate across teams. **What do you dislike about SAS Viya?** SAS Viya is its cost and complexity for smaller teams. While it’s powerful and scalable, licensing and infrastructure requirements can feel heavy for organizations that don’t need enterprise-level capabilities. **What problems is SAS Viya solving and how is that benefiting you?** Scattered Analytics Tools Many organizations struggle with multiple disconnected tools for data prep, modeling, and deployment. SAS Viya unifies these into one platform. Scalability for Big Data Traditional SAS environments can be limited for large-scale or cloud-based workloads. Viya runs on Kubernetes and scales horizontally in the cloud. Limited Language Flexibility Older SAS systems were SAS-only. Viya supports Python, R, Lua, and REST APIs, enabling integration with open-source ecosystems. Slow Model Deployment Deploying models into production can be complex. Viya offers ModelOps for quick deployment and governance. ### 22. Viya Azure review with Caliber Financial Services **Rating:** 5.0/5.0 stars **Reviewed by:** Jack C. | Director of Risk Modeling, Mid-Market (51-1000 emp.) **Reviewed Date:** November 01, 2024 **What do you like best about SAS Viya?** Fast processing speed especially when my data sets are in Viya Azure environment. Super fast!!! **What do you dislike about SAS Viya?** The learning curve is not as smooth as I thought, and lack of supporting groups like what 9.4 has. **What problems is SAS Viya solving and how is that benefiting you?** 1. Customer profiling and related analytics 2. Statistical and AI predictive modeling ### 23. Fast, Scalable, and User-Friendly Analytics P **Rating:** 5.0/5.0 stars **Reviewed by:** Mahmoud H. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 11, 2025 **What do you like best about SAS Viya?** What I like best about SAS Viya is that it is fast, scalable, and easy to use. It allows teams to run analytics, machine learning, and data processing in one platform. It also works well with cloud environments, which makes deployment and management easier. **What do you dislike about SAS Viya?** One aspect I find challenging about SAS Viya is its complexity when it comes to configuration and ongoing maintenance, particularly within larger environments. Additionally, it demands robust hardware resources, and the licensing fees may be prohibitively expensive for certain organizations. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya solves problems related to data processing, analytics, and model deployment. It helps teams work faster by providing one platform for data preparation, machine learning, and reporting. This makes the workflow smoother and reduces the time needed to move data between different tools. ### 24. Scalable, High-Performance Analytics with Seamless Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Abhishek V. | STATISTIAL PROGRAMMER, Small-Business (50 or fewer emp.) **Reviewed Date:** December 12, 2025 **What do you like best about SAS Viya?** -Cloud-Native Architecture: Runs on Kubernetes, making it scalable and flexible for modern deployments. -Open Integration: Supports Python, R, Lua, and REST APIs, allowing data scientists to work in their preferred language. -High-Performance Analytics: Handles large datasets efficiently with in-memory processing. -Machine Learning & AI: Built-in advanced analytics and automated ML capabilities. -Visualization & Collaboration: Interactive dashboards and integration with SAS Visual Analytics. **What do you dislike about SAS Viya?** -Cost: Licensing and infrastructure expenses can be high for smaller organizations. -Complex Setup: Initial deployment and configuration require expertise in Kubernetes and cloud environments. -Learning Curve: Transitioning from traditional SAS to Viya can be challenging for legacy users. -Resource Intensive: Requires robust hardware or cloud resources for optimal performance. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya solves problems like data silos, slow model deployment, and scalability issues by providing a cloud-native, integrated analytics platform. It benefits me through faster statistical analysis, automated data prep, open-source integration, and easier model management, making workflows more efficient and collaborative. ### 25. SAS Viya: Powerful Analytics, Steep Curve **Rating:** 5.0/5.0 stars **Reviewed by:** Balaji M. | Statistical Programmer, Small-Business (50 or fewer emp.) **Reviewed Date:** December 11, 2025 **What do you like best about SAS Viya?** The unified cloud-native platform stands out most, enabling seamless data preparation, modeling with SAS/Python/R, and deployment in one environment for faster clinical workflows. Scalable in-memory processing via CAS handles large pharmaceutical datasets efficiently, cutting times for SDTM/ADaM tasks and bioequivalence analysis. Teams collaborate better across roles, with strong governance and AI tools supporting regulated EMA/FDA submissions reliably. **What do you dislike about SAS Viya?** SAS Viya's steep learning curve and complex interface challenge new users, especially during migration from SAS 9. High licensing costs strain smaller teams, while resource-intensive operations demand robust infrastructure for large clinical datasets. Installation, upgrades, and troubleshooting add overhead, often needing deep IT expertise. Performance occasionally lags on massive PK or SDTM workloads compared to optimized Python/R, and vendor lock-in limits flexibility for bioequivalence studies. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya tackles slow processing of large clinical datasets, manual SDTM/ADaM workflows, and siloed trial data in bioequivalence studies by unifying in-memory analytics, AI automation, and governance tools. ### 26. Streamlined Data Analytics with Few Hiccups **Rating:** 5.0/5.0 stars **Reviewed by:** Sagar R. **Reviewed Date:** February 05, 2026 **What do you like best about SAS Viya?** I like that SAS Viya helps me handle large, complex datasets in one platform, streamlining my analytics workflow and turning data into actionable insights without the need to juggle multiple tools. I appreciate that it combines data preparation, advanced analytics, and reporting, making it easier to move from raw data to insights efficiently. The initial setup was very easy, which was a big plus. **What do you dislike about SAS Viya?** Some things could be improved like the learning curve for new users, performance tuning for very large workloads, and making the interface and documentation more intuitive and consistent across features. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya to handle large datasets, streamline analytics workflows, and generate insights without juggling multiple tools. It efficiently combines data preparation, advanced analytics, and reporting. ### 27. A powerful and scalable analytics platform for advanced machine learning **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** December 02, 2025 **What do you like best about SAS Viya?** What I like most about SAS Viya is its powerful, scalable cloud-native architecture that supports advanced analytics and machine learning workflows without requiring heavy infrastructure management. The platform makes it easy to run complex statistical models, automate analytical pipelines, and leverage in-memory processing for faster performance. Its interface is intuitive for both technical and non-technical users, and the integration with Python and open-source tools is a major advantage. Overall, SAS Viya brings flexibility, speed, and strong analytics capabilities in one place. **What do you dislike about SAS Viya?** Some features in SAS Viya can feel complex for new users, especially when configuring advanced analytics or integrating with external systems. The licensing cost can also be high for smaller teams or organizations. Additionally, although performance is excellent, some workloads require fine-tuning to operate efficiently, and the learning curve for certain modules may require extra time. Documentation is extensive but sometimes not straightforward for beginners. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya helps streamline the entire analytics lifecycle—from data preparation and model development to deployment and monitoring. It simplifies handling large datasets, improves model accuracy with automated machine learning, and enables faster decision-making through real-time insights. The platform also enhances collaboration across teams by centralizing analytics workflows in one environment. Overall, it has helped reduce processing time, improve data quality, and accelerate the delivery of analytical solutions. ### 28. Powerful Analytics, Needs Improved Loading Speed **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Business Supplies and Equipment | Small-Business (50 or fewer emp.) **Reviewed Date:** February 05, 2026 **What do you like best about SAS Viya?** I started using SAS Viya during my data mining and tax analysis course. I find it to be a powerful platform for analyzing large data sets, building predictive models, and extracting insights from text. What I like most about SAS Viya is its ease of use for complex analytics. Its intuitive interface and powerful tools make data mining and analysis faster and more efficient. Additionally, the initial setup was not hard at all. **What do you dislike about SAS Viya?** Sometimes SAS Viya can feel overwhelming with so many features at once, and loading very large data sets can be a bit slow. Improving loading speed for very large data sets would make workflows smoother. A more streamlined interface or better feature organization could also help users navigate its many tools without feeling overwhelmed. **What problems is SAS Viya solving and how is that benefiting you?** I find SAS Viya powerful for analyzing large datasets, building predictive models, and extracting insights. It helps handle large data and complex statistics, simplifying predictive modeling and text analysis. ### 29. Powerful Analytics Platform with a Steep Learning Curve **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 12, 2025 **What do you like best about SAS Viya?** SAS Viya brings real power and flexibility to analytics and compliance work. I use it across SAS AML, CDD, and ID solutions, and it makes model deployment, rule management, and risk scoring much faster and easier to control. What stands out most is how Viya unifies everything (data prep, modeling, and reporting) under one platform while letting me switch between visual tools, SQL, and Python with consistent results. It scales well, runs efficiently on large datasets, and finally gives SAS a modern, cloud-ready feel. **What do you dislike about SAS Viya?** The learning curve for new users is quite steep, especially during the first phase of implementation and migration. Setting up environments, managing permissions, and aligning integrations between Viya and existing SAS AML/CDD systems can take time and careful coordination. Some bugs or configuration errors are also difficult to trace since logs and debugging details are spread across multiple components and files. While SAS customer support is helpful, ticket resolution can involve a lot of back-and-forth before issues are fully addressed. Once everything is stable, it runs reliably, but the path to get there can be slow and technical for teams new to Viya. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya helps centralize and streamline analytics, especially in compliance and risk management workflows. In my case, it supports AML and CDD operations by automating data preparation, risk scoring, and rule execution across large datasets. This reduces manual effort, improves consistency, and makes it easier to trace and audit model changes. Viya’s scalability and integration with SAS AML solutions also mean I can run complex scenarios and model updates faster, with better performance and transparency. Overall, it’s helped reduce turnaround time for model validation and deployment, and improved the reliability of our production reporting. ### 30. Powerful Analytics and Flexibility, But Cost and Learning Curve Can Be Challenging **Rating:** 4.5/5.0 stars **Reviewed by:** Arvind K. | Biostatistician, Small-Business (50 or fewer emp.) **Reviewed Date:** November 03, 2025 **What do you like best about SAS Viya?** What I like best about SAS Viya is its ability to combine powerful analytics with cloud-native flexibility. It supports open-source integration, making collaboration across teams easier, and its scalable architecture allows for handling large, complex datasets efficiently. Plus, its visual interfaces and automation tools make advanced analytics more accessible to both technical and non-technical users. **What do you dislike about SAS Viya?** One common criticism of SAS Viya is its cost and licensing complexity, which can be a barrier for smaller organizations or teams with limited budgets. Additionally, while it integrates with open-source tools, some users find the learning curve steep when transitioning from traditional SAS environments to Viya’s cloud-native setup. Customization and performance tuning can also require specialized expertise, which may not be readily available in all teams. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya is solving key problems like scalability, integration, and real-time analytics, which are crucial in data-intensive environments. For users like you in biostatistics, it enables faster data processing, seamless collaboration with open-source tools, and more efficient model deployment—ultimately improving productivity and decision-making. ### 31. All-in-One Analytics Platform That Boosts Speed and Productivity **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Enterprise (> 1000 emp.) **Reviewed Date:** October 30, 2025 **What do you like best about SAS Viya?** I really appreciate SAS Viya because it allows me to work quickly and efficiently, thanks to its fast processing and intuitive design. What I value most is having all the analytical tools I need — from data preparation to modeling and visualization — integrated into a single, unified platform. This makes the entire workflow smoother and much more productive. **What do you dislike about SAS Viya?** While I find SAS Viya powerful and efficient overall, I think the CAS server component could be more intuitive. Managing data and sessions within CAS sometimes feels confusing, especially for new users. The interface and workflow aren’t always user-friendly, and it takes time to fully understand how CAS interacts with the rest of the platform. **What problems is SAS Viya solving and how is that benefiting you?** In the project I’m currently working on, we need to manage and analyze a large amount of data from different sources. SAS Viya makes this process much easier and faster by providing a powerful environment for data processing and advanced analytics. It allows us to handle complex datasets efficiently and focus more on insights rather than technical limitations. ### 32. Sas viya features **Rating:** 5.0/5.0 stars **Reviewed by:** Sachin N. | Technical Officer - Biostatistics & Programming, Small-Business (50 or fewer emp.) **Reviewed Date:** November 11, 2024 **What do you like best about SAS Viya?** Sharing and collobration is so amazing, this is what i was expecting from sas, now the environment of sas is industry friendly and collab is too easy **What do you dislike about SAS Viya?** The sas viya is too advance for begginers **What problems is SAS Viya solving and how is that benefiting you?** It is solving the problem of project sharing and time consumptions is too less ### 33. Effortless Cloud-Based Learning Tool **Rating:** 5.0/5.0 stars **Reviewed by:** Scott V. **Reviewed Date:** October 28, 2025 **What do you like best about SAS Viya?** I find SAS Viya's user interface to be exceptionally user-friendly and easy to navigate, which makes it very intuitive for both me and my students. This ease of use is crucial for educational purposes as it allows my graduate students to quickly adapt and engage with the software. The cloud-based nature of SAS Viya provides immense functionality without the need for complicated server configurations, facilitating straightforward setup and operation. This aspect eliminates the burden of installing additional software, making it extremely convenient and ensuring smooth access for educational environments. The platform's capability to load datasets and run various predictive models seamlessly enhances its usability for teaching purposes. Furthermore, the pipeline templates are incredibly helpful as they allow students to dive into learning models swiftly and effectively. I also appreciate the strong emphasis on practical, hands-on experience that the software provides, which prepares students for real-world applications in the workforce. This combination of a user-friendly interface, cloud functionality, and powerful modeling tools makes SAS Viya a highly recommendable platform for educational settings. **What do you dislike about SAS Viya?** I find the account creation process a bit cumbersome and confusing, particularly when providing students access to the platform. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya to give students practical experience with leading data analytics software, enhancing their learning and job readiness. Its user-friendly, cloud-based interface simplifies data handling and model running, making it an effective teaching tool. ### 34. Effortless Integration and Intuitive Interface with Outstanding Support **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Higher Education | Small-Business (50 or fewer emp.) **Reviewed Date:** October 27, 2025 **What do you like best about SAS Viya?** SAS Viya is easy to implement and integrates smoothly into existing workflows, making the onboarding process quick and efficient. It’s also very easy to use, with an intuitive interface that allows both technical and non-technical users to navigate and perform complex analyses effortlessly. I use it frequently because of its reliability and strong performance with large datasets. The customer support team is responsive and knowledgeable, always ready to help resolve issues or optimize configurations. **What do you dislike about SAS Viya?** SAS Viya, while powerful, isn’t without its drawbacks. The most common concern is cost: licensing and cloud infrastructure can be expensive, especially for smaller organizations. The learning curve can also be steep for users who are new to the SAS ecosystem or come from open-source tools like Python or R. Some users find that customization and integration with non-SAS systems require more effort than expected. Performance is excellent once configured, but initial setup and optimization can take time and technical expertise. Finally, updates and new features sometimes require retraining or adjustments to existing workflows. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya helps solve challenges related to data integration, scalability, and advanced analytics. It allows me to bring together data from multiple sources, process it efficiently, and apply machine learning models within a single platform. This integration reduces time spent moving data between tools and improves collaboration across teams. Its scalability in the cloud ensures consistent performance even with large datasets, leading to faster insights and more confident decision-making. ### 35. Effortless Data Analysis and Scalable Cloud Power with SAS Viya **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Higher Education | Enterprise (> 1000 emp.) **Reviewed Date:** October 28, 2025 **What do you like best about SAS Viya?** What I like best about SAS Viya is how easy it makes working with data, even if you're not a hardcore programmer. It runs in the cloud, so you don’t have to worry about installing anything complicated, and it scales really well if your team or data grows. I also love that it supports both drag-and-drop tools and coding. The visual analytics are super helpful for spotting trends and patterns, and it connects to all kinds of data sources. Plus, it has built-in tools for machine learning and AI, and it even helps you pick the best models automatically **What do you dislike about SAS Viya?** Some of the things I don’t like about SAS Viya are its cost and complexity. It’s pretty expensive, especially for smaller teams or organizations, and the licensing can be confusing. Even though it has low-code tools, there’s still a steep learning curve if you want to use its more advanced features. I’ve also noticed that it can slow down when working with really large datasets or trying to build complex visualizations. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya helps solve a lot of the challenges I used to face when working with data, especially around accessibility, collaboration, and speed. One of the biggest problems it addresses is how hard it can be to bring together data from different sources and make sense of it quickly. With Viya, I can easily connect to various data sets, clean and prepare the data, and start analyzing it all in one place. It also solves the issue of needing deep coding skills to do advanced analytics. The visual tools and automation features let me build models and generate insights without having to write a ton of code, which saves a lot of time. ### 36. Not intuitive, Hurdles in Usability **Rating:** 0.5/5.0 stars **Reviewed by:** Mark K. **Reviewed Date:** October 28, 2025 **What do you like best about SAS Viya?** Nothing **What do you dislike about SAS Viya?** I struggled immensely with SAS Viya due to its lack of clarity and intuitiveness. The software's interface was not user-friendly, making it very challenging to perform basic tasks like writing and executing SAS code, even though I have previous experience with SAS and programming. The setup process was not intuitive, leaving me unsure how to create projects or use built-in datasets effectively. Despite exploring SAS Viya for teaching purposes, I found it impossible for students, especially those without programming backgrounds, to understand and use it. The absence of clear instructions or a guided tutorial exacerbated these issues. Overall, the product felt bloated, and I would not choose to purchase it again due to these significant usability concerns. **What problems is SAS Viya solving and how is that benefiting you?** I found SAS Viya unintuitive and difficult to use for teaching; setup was unclear, making it impossible to write SAS code or create projects, thus not benefiting my instructional goals. ### 37. One-Stop Shop for Analytics with Room for Visualization Improvements **Rating:** 4.5/5.0 stars **Reviewed by:** Save2Invest . **Reviewed Date:** October 24, 2025 **What do you like best about SAS Viya?** I love that SAS Viya is a good tool for data analytics, providing valuable results that enhance my analytics processes, such as the churn process. The setup was straightforward and not difficult at all, which made transitioning from SAS Enterprise Guide to SAS Viya a smooth experience. One of the biggest advantages is that SAS Viya serves as a one-stop shop for all my analytics needs, encompassing everything from advanced visualizations to forecasting models. Its comprehensive capabilities save time and effort by consolidating multiple functions within a single platform. Additionally, I appreciate how it integrates seamlessly with SQL, adding further convenience to my workflow. Overall, SAS Viya offers a robust analytics environment that meets a wide range of analytical requirements. **What do you dislike about SAS Viya?** I find the visualization aspect of SAS Viya a bit complex compared to other tools like Power BI. Improving the user experience in this area would be beneficial. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya for data analytics, specifically in the churn process, and it provides essential results. It's a one-stop shop for analytics, offering necessary tools, visualizations, and forecasting models, enhancing our analytical capabilities significantly. ### 38. Empowering Non-Techies with Seamless Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Zeeshan Azeem K. | Manager Financial/Growth Analytics, Small-Business (50 or fewer emp.) **Reviewed Date:** October 23, 2025 **What do you like best about SAS Viya?** I appreciate how SAS Viya provides an easy-to-use platform with a drag-and-drop feature that requires no coding, making it accessible for non-techies to engage in machine learning and AI tasks. The ease of setting it up with just a university email is commendable, allowing me to dive right into creating models and performing text analytics efficiently. The software bridges the gap between non-coders and coders by enabling model building and text processing without needing to write code. I find the feature that automatically identifies the best model with the highest ROC after a simulation particularly useful. This, coupled with its efficient text parsing capabilities, makes SAS Viya an invaluable tool for my work. Its efficiency saves time, and the connectivity it offers enhances my data mining and analytics experience. **What do you dislike about SAS Viya?** I would like SAS Viya to allow more personalization for those who are adept at coding. Currently, it is not possible to optimize models extensively if you know how to code. Having the option for backend coding would help in enhancing model optimization. This lack of flexibility means that while the platform is ideal for those who prefer not to code, it can be limiting for users who are experienced coders and want to fine-tune their models. **What problems is SAS Viya solving and how is that benefiting you?** I find the product bridges the gap between non-coders and coders, making complex tech accessible with no coding required, which simplifies model building and text processing. ### 39. Perfect Platform for Learning Data Analytics and Machine Learning **Rating:** 4.0/5.0 stars **Reviewed by:** Pradeep Kumar V. | Student, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 23, 2025 **What do you like best about SAS Viya?** Being a CS student learning data analytics and machine learning, I find SAS Viya very helpful in understanding real-world data workflows. The user interface makes sure that datasets are simple to explore, models can be built, and outcomes visualized without the hassle of complex installations. I love how it supports both SAS and open-source languages like Python and R, which brings together academic studies and industry tools. The platform is responsive, scalable, and well-structured and is an excellent place to hone data-driven problem-solving skills. **What do you dislike about SAS Viya?** Some features can be overwhelming for beginners, and the initial learning curve is fairly steep if you’re not familiar with SAS syntax. The interface, while powerful, sometimes feels less responsive when handling large datasets. Also, more interactive tutorials or guided labs would make it easier for students to get started quickly and make full use of all the available tools. **What problems is SAS Viya solving and how is that benefiting you?** As a student engaged in data science and machine learning projects, I find that SAS Viya streamlines the entire process from data collection to insight generation within a single environment. Its database management tools make accessing and preparing data much more straightforward, while the platform itself is dependable for building and assessing machine learning models. I have used SAS Viya to tackle tasks like predicting outcomes from real-world datasets and conducting exploratory data analysis with greater efficiency. The seamless integration of analytics and visualization features allows me to uncover patterns in the data and present my findings more effectively. Overall, using SAS Viya is giving me valuable experience with scalable analytics systems as they are used in professional contexts. ### 40. SAS Viya 3.5 review **Rating:** 5.0/5.0 stars **Reviewed by:** Geiziane O. | SAS Specialist Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** August 01, 2025 **What do you like best about SAS Viya?** "SAS Viya 3.5 offers a wide range of statistical algorithms and features in an environment that integrates all solutions, is easy to use, and facilitates automation through REST APIs. In addition, it provides high computational power in a distributed processing environment. **What do you dislike about SAS Viya?** The documentation for SAS Viya 3.5 is not very comprehensive—many pieces of information are missing, and several solutions such as QKB, Model Studio, and SAS Workflow Manager present intermittent errors that are difficult to debug. Many algorithms related to SAS QKB CI33 (e.g., entityRes.match), SAS/OR (PROC NETWORK), and the explainModel CAS action present intermittent issues when using distributed processing (CAS MMP - Multi-Parallel Processing). Both the documentation and technical support have been difficult to access. When using some of these algorithms, it seems that many have not been thoroughly tested, as they produce random errors. In addition, support is often slow to respond and does not seem to make a strong effort to resolve the problems—frequently emphasizing that these features work better in Viya 4. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya has helped address several key challenges: Data quality: The platform has been instrumental in identifying duplicate addresses and person names, which has supported various public institutions by reducing manual effort during investigation processes in SAS Visual Investigator. It has also helped uncover hidden relationships between entities. Machine learning models: By supporting the entire analytics lifecycle and enabling seamless integration with client systems via APIs, SAS Viya has helped reduce the time required to evaluate complex processes—such as those related to tax payments. This allows analysts to focus only on high-risk cases, accelerating decision-making and improving efficiency. Statistical modeling: Techniques such as survival analysis have been applied to build debt collection strategies. Based on these models, organizations can define and automate more accurate and timely collection rules, improving recovery rates and operational effectiveness. ### 41. Easy to Use, Comprehensive Tools but Steep Learning Curve **Rating:** 4.0/5.0 stars **Reviewed by:** Võ Lê Ngọc T. **Reviewed Date:** February 12, 2026 **What do you like best about SAS Viya?** I like that SAS Viya is easy to use and comes with many tools that are helpful in handling tasks like analyzing data. I used SAS Viya in a competition to help predict the amount of water we should store, and the tools in SAS really helped me with that. **What do you dislike about SAS Viya?** It may be difficult for beginners. The initial setup is quite complex. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya to analyze data for work, school, and competitions. It offers many tools that make it easy to use for predicting outcomes, like water storage needs. ### 42. Unmatched power for serious machine learning and data exploration. **Rating:** 4.5/5.0 stars **Reviewed by:** Saketh ram A. | N/A student, Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2025 **What do you like best about SAS Viya?** The sheer depth of the advanced analytical algorithms and the performance of the in-memory processing engine. It handles massive datasets for complex machine learning models with an efficiency and stability that is hard to match by pure open-source stacks in an enterprise setting. The ability to deploy models seamlessly across the organization is key to MLOps. **What do you dislike about SAS Viya?** The licensing model can be rigid and costly for smaller teams or specialized projects, which makes scaling experimentation challenging. While it integrates with Python and R, the native SAS language documentation and community support sometimes feel less modern than pure open-source alternatives. **What problems is SAS Viya solving and how is that benefiting you?** It solves the problem of deploying high-performance, high-governance machine learning models at scale. We are benefiting from reduced model training time and increased trust in our predictive analytics, allowing us to quickly operationalize complex forecasts and targeting strategies that directly drive revenue growth. ### 43. Trusted and multi purpose data analytics platform **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** November 01, 2024 **What do you like best about SAS Viya?** The optionality to build pipelines visually or hard coded. Also, the openenss of the platform to integrate with other solutions in the market. The power of the platform really comes with combining different modules. SAS Model Manager, Intelligent Decisioning, Visual Analytics etc. The whole suite makes it more valuable. **What do you dislike about SAS Viya?** SAS Studio tends to be quite laggy, which can be frustrating. I frequently have to clear my cache to try to improve its performance. Another issue is that whenever I click on nodes in Studio, a frame immediately appears, and I find this very annoying. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya provides the ability to conduct more in-depth analyses compared to other analytical software. It also allows customers to engage directly with the data, rather than simply receiving static datasets. ### 44. Viya Powers Through Massive Workloads with Ease **Rating:** 3.5/5.0 stars **Reviewed by:** Franco J. | Principal SAS Administrator, Mid-Market (51-1000 emp.) **Reviewed Date:** February 05, 2026 **What do you like best about SAS Viya?** It handles massive workloads without breaking a sweat Viya’s in‑memory engine is designed for heavy lifting — think huge datasets, complex models, and real‑time scoring. It’s built for enterprises that can’t afford slowdowns. **What do you dislike about SAS Viya?** Python/R integration is good — but not perfect Yes, Viya supports multiple languages, but: Some features are SAS‑first The Python/R APIs can lag behind Debugging outside the SAS ecosystem can be clunky. **What problems is SAS Viya solving and how is that benefiting you?** No more jumping between tools Faster iteration Fewer handoff errors Clearer governance and lineage ### 45. Analytics Without Limits: My SAS Viya Experience **Rating:** 4.5/5.0 stars **Reviewed by:** Chaitali P. | Sas programmer, Pharmaceuticals, Enterprise (> 1000 emp.) **Reviewed Date:** November 02, 2025 **What do you like best about SAS Viya?** SAS Viya redefines analytics with its cloud-native flexibility and scalability. What I love most is how it seamlessly integrates advanced AI/ML capabilities with traditional SAS strengths, all in a single platform. The ability to run open-source languages like Python and R alongside SAS code make collaboration effortless. Its intuitive interface and powerful APIs accelerate deployment and reduce time-to-insight. For organization aiming for enterprise-grade analytic without compromising agility and SAS Viya is a game-changer. **What do you dislike about SAS Viya?** Although SAS Viya supports open-source integration, connecting it seamlessly with existing enterprise systems can be complex. More out-of-the-box connectors would simplify deployment. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya helps me to move beyond traditional reporting to advanced AI/ML analytics and its Automated model building and deployment have accelerated innovation and improved predictive accuracy for business-critical processes. ### 46. "Revolutionizing Analytics: A Comprehensive Review of SAS Viya's Power and Versatility" **Rating:** 5.0/5.0 stars **Reviewed by:** Sneha G. | Senior Executive | Events Marketing, Small-Business (50 or fewer emp.) **Reviewed Date:** December 22, 2023 **What do you like best about SAS Viya?** Recently, I’ve found SAS Viya’s integration with AI/ML workflows much smoother and more intuitive. The platform has continued to evolve with improved model deployment and monitoring capabilities, making it easier to operationalize analytics. I also appreciate the enhancements in its data governance and lineage features, which provide greater transparency and trust in data-driven decisions. The user interface feels more responsive now, and the tighter integration with cloud services has made collaboration and scalability even more seamless. **What do you dislike about SAS Viya?** Although the platform is improving, the breadth of features can still feel overwhelming for new users. Documentation has expanded, but more hands-on tutorials, guided workflows, and in-platform learning aids would make the adoption curve less steep. Also, while Viya is powerful, some advanced customizations require significant technical expertise, which might challenge smaller teams without dedicated data engineers. **What problems is SAS Viya solving and how is that benefiting you?** Scalability: Handling large volumes of data efficiently is a common challenge. SAS Viya's distributed computing capabilities enable processing and analysis of massive datasets, allowing for insights that might otherwise be difficult or impossible to uncover. Real-time Analytics: With the growing importance of real-time decision-making, SAS Viya's ability to perform analytics on streaming data enables quicker responses to changing scenarios, benefiting businesses by allowing them to make more timely and informed decisions. ### 47. Needs Improvement Despite Advanced Analytics Features **Rating:** 2.0/5.0 stars **Reviewed by:** Mostafa A. | Platform Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 11, 2025 **What do you like best about SAS Viya?** SAS Viya supports many advanced analytical methods, including statistical modeling, machine learning, and predictive analytics. **What do you dislike about SAS Viya?** high cost, a steep learning curve, and complexity, particularly for users without prior SAS experience or when integrating with third-party tools. Other drawbacks are the overwhelming user interface for some, limited customization in certain areas, and challenges in migrating from older SAS versions. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya solves problems related to complex data analysis, scalability, and security by providing a cloud-native platform for AI and analytics. ### 48. Intuitive Drag-and-Drop Eases Learning, But Steep Curve Can Overwhelm **Rating:** 4.0/5.0 stars **Reviewed by:** Melissa H. | I am a student but started SAS Viya on my own., Small-Business (50 or fewer emp.) **Reviewed Date:** October 24, 2025 **What do you like best about SAS Viya?** The visual drag and drop interface is a relief. I am still building my skills, so being able to create data workflows without obsessing over syntax has made learning way less stressful. **What do you dislike about SAS Viya?** The learning curve is steep. There are so many menus and features that it makes it overwhelming. **What problems is SAS Viya solving and how is that benefiting you?** Making analytics accessible. It bridges the gap between technical and non-technical users. Not everyone knows how to code, so the visual interface let's business analysts work alongside data scientists without needing to learn Python or R. ### 49. Efficient Low-Memory Analytics with Intuitive Visual Workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Sravan K. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** February 06, 2026 **What do you like best about SAS Viya?** Sas viya is efficient in low memory usability,low code usage and the visual analytics make complex workflows intuitive **What do you dislike about SAS Viya?** It can feel expensive and complex to implement for smaller teams. Customization of the coderequres deep SAS expertise. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya has helped me to solve problems related to large datasets handling, building and deploying models quickly, and manage data securely while collaborating across teams using both low-code and programming workflows ### 50. Powerful for Data Analysis, Challenging Setup **Rating:** 3.5/5.0 stars **Reviewed by:** Mitesh P. **Reviewed Date:** December 01, 2025 **What do you like best about SAS Viya?** I find SAS Viya excellent for analyzing data in clinical trials. It particularly stands out in its ability to help me generate TLFs and reports effectively for clinical trial analysis. Additionally, I greatly appreciate its feature of reminding me of the syntax for procedures, which is especially helpful when I'm not familiar with a particular procedure's syntax. **What do you dislike about SAS Viya?** I find the initial setup of SAS Viya challenging. Switching from other tools is not easy, which makes the onboarding process difficult. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya to generate TLFs and analyze clinical trial data efficiently, and it helps with procedure syntax reminders. ## 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?filters%5Bsentiment_snippet%5D=1456517&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+22%3A00%3A19+-0500&secure%5Bsession_id%5D=8a28a560-e955-4ce7-9b72-081449b2b348&secure%5Btoken%5D=94e47b5393a19ff4f41ed3e0b5df79143536a23e48326418a77ad2bc228ed3dc&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) - 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[Portworx Enterprise](https://www.g2.com/products/portworx-enterprise/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [Python](https://www.g2.com/products/python/reviews) - [SAP Adaptive Server Enterprise (ASE)](https://www.g2.com/products/sap-adaptive-server-enterprise-ase/reviews) - [SAS Enterprise Guide](https://www.g2.com/products/sas-enterprise-guide/reviews) - [SAS Studio](https://www.g2.com/products/sas-studio/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) - [XGBoost](https://www.g2.com/products/xgboost/reviews) ## SAS Viya Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards - Customizable Reports - Marketing Reports - Sales Reports - Activity Dashboard - Interactive Reports - Customizable Reports - Customizable Reports - Activity Dashboard - Customizable Dashboard **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Data Source Access** - Breadth of Data Sources - Ease of Data Connectivity - API Connectivity **Data** - Data Processing - Data Sources - Integration - Real-Time Processing **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations - Configurable Workflow - Rules-Based Workflow **Administration** - Quality Control - Data Sampling - Collaboration - Multiple Data Sources - Real-Time Data - Statistical Process Control **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling - Real-Time Data **Data Preparation** - Connectors - Data Governance **Financial Planning** - Extended Planning - Reporting - Integration - Self-Service Reporting **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis - Data Synchronization - Real-Time Data - Data Storage Management **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage - Data Visualization **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Integration** - Data - Applications **Setup** - Integration - Maintenance - No-Code - Third-Party Integrations **Integration - Machine Learning** - Integration - Third-Party Integrations **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 - Database Support - Multi-Language **Financial Insight** - Budgeting - Forecasting - Planning - Budgeting/Forecasting **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 - Real-Time Monitoring **Capabilities** - Data Visualization - Survival Analysis - Risk Data Attributes - Cost Analysis - Multivariate Analysis - What-if Analysis - Statistical Analysis - Bayesian Analysis - Trend Analysis - Regression Analysis **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending - Data Capture and Transfer **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment - Automatic Backup - Database Conversion **Security** - Access Control - Roles Management - Deletion Management - Access Controls/Permissions - User Management - Process Management - Audit Management - Metadata Management **Operations** - Metrics - Infrastructure management - Collaboration **Business Logic** - Authoring Business Logic - Testing Business Logic - Model Development **Data** - Security - Data Visualization - Real-Time Data - Visual Analytics **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 **Additional Functionality** - Predictive Modeling - Configurable Workflow - Tagging - Data Import/Export - API - Predictive Analytics - Data Visualization - Endpoint Management - Multiple Data Sources - No-Code - Data Preparation - Auditing - Collaboration Tools - Big Data Analytics - ML Algorithm Library - Data Management - Activity Dashboard - Data Capture and Transfer - Activity Tracking - Data Connectors - Data Security - Data Extraction - Reporting & Statistics - Workflow Management - AI Copilot **Data Analysis** - Analysis - Data Interaction - Time Series Analysis - Trend Analysis **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Data** - Data Visualization - Data Analysis - Custom Reporting - Reporting Templates - Real-Time Data **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 - Mobile Access **Maintainence** - Data Quality Management - Data Storage 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 - Multi-Language - Trend Analysis - Text Analysis - Qualitative Comparative Analysis - Statistical Analysis - User Research Analysis - Ad hoc Analysis - Quantitative Analysis **Generative AI** - Generative AI **Additional Functionality** - Workflow Management - Third-Party Integrations - Data Extraction - Relational Database Management - SSL Security - API - Data Connectors - Search/Filter - Reporting & Statistics - Customizable Templates - AI Copilot - Full Text Search - Data Virtualization - Data Import/Export - Generative AI - Drag & Drop - Customizable Fields - Authentication - Data Visualization - Secure Data Storage - Activity Dashboard - Data Mapping - Multiple Programming Languages Supported - Data Capture and Transfer - User Management - NOSQL Database Management - Access Controls/Permissions - Calendar Management - Real-Time Monitoring - Document Storage - Audit Management - Charting **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification - Customizable Reports **Deployment** - Managed Service - Application - Scalability **Status Communication** - Collaboration - Version Control - Real-Time Data Updates - Scorecards - Approval Process Control **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching - Real-Time Data **Analytics** - Impact analysis - Simulation **Customization** - Pre-Built Parameterization - Custom Extension - Compositionality **Generative AI** - Generative AI **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Generative AI** - Generative AI **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - Third-Party Integrations **Additional Functionality** - Predictive Analytics - Multi-Language - Generative AI - Currency Management - AI Copilot - User Management - Project Management - Risk Management - Real-Time Analytics - Audit Trail - Tax Management - Investment Management - Transaction History - Data Import/Export - Fixed Asset Management - Mobile Access - Transaction Monitoring - API - Project Time Tracking - Projections - Consolidation/Roll-Up - General Ledger - Purchasing & Receiving - Real-Time Monitoring - Configurable Workflow - Dashboard Creation - Accounting - Electronic Payments - Revenue Recognition - Invoice Management - Compliance Management - "What If" Scenarios - Workflow Management - Multi-Currency - Planning Tools - Visual Analytics - Cash Management - Customizable Reports - Bank Reconciliation - Invoice Processing - Multi-Company - For Investors & Traders - Expense Tracking - Purchase Order Management - Access Controls/Permissions - Activity Dashboard - Reporting/Analytics - Alerts/Notifications - Billing & Invoicing - Receipt Management - Profit/Loss Statement - Income & Balance Sheet - Cash Flow Management **Additional Functionality** - Customizable Reports - Collaboration Tools - Data Extraction - Semantic Search - Data Storage Management - Ad hoc Reporting - Reporting/Analytics - Predictive Analytics - Activity Dashboard - Access Controls/Permissions - Visual Analytics - Data Mapping - Data Synchronization - Statistical Analysis - Categorization/Grouping - Trend Analysis - Data Profiling - Linked Data Management - Data Visualization - API - Multiple Data Sources - Sentiment Analysis - Search/Filter - Data Import/Export - Data Capture and Transfer - AI Copilot - Monitoring - Data Connectors - Ad hoc Analysis - Text Mining - Reporting & Statistics - Predictive Modeling - Real-Time Analytics - Configurable Workflow - Tagging - Endpoint Management - No-Code - Data Preparation - Auditing - Big Data Analytics - ML Algorithm Library - Data Management - Activity Tracking - Data Security - Workflow Management **Additional Functionality** - Data Analysis Tools - AI/Machine Learning - Data Extraction - Reporting/Analytics - AI Copilot - Data Mapping - ETL - Big Data Analytics - Data Quality Control **Additional Functionality** - Compliance Tracking - Real-Time Reporting - Statistical Simulation - Forecasting - Neural Network Modeling - Visual Analytics - Access Controls/Permissions - Data Connectors - Customizable Reports - Drag & Drop - Self Service Data Preparation - Performance Metrics - Data Transformation - Activity Dashboard - Data Extraction - Reporting/Analytics - Predictive Analytics - API - AI Copilot - Association Discovery - Ad hoc Reporting - Reporting & Statistics - Third-Party Integrations - Customization - Search/Filter - Monitoring - Data Clustering - Data Import/Export - SSL Security - File Storage - Decision Tree - Multiple Scoring Models **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling - Natural Language Search - Visual Discovery - Data Blending - Data Blending **Management** - Reporting - Automation - Quality Audits - Dashboard **Deployment** - Application Development - Integration **Generative AI** - Generative AI **Generative AI** - Generative AI **Generative AI** - Generative AI **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making - Third-Party Integrations - Active Directory Integration **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity - Multiple Data Sources - Query Builder **Additional Functionality** - AI Copilot - Reporting & Statistics - Data Migration - Archiving & Retention - Data Capture and Transfer - Audit Trail - Data Synchronization - Single Sign On - Customizable Reports - Data Profiling - Authentication - Role-Based Permissions - Tagging - Secure Data Storage - Data Security - HIPAA Compliant - SSL Security - Risk Assessment - Data Mapping - Search/Filter - Self Service Portal - Multiple Data Sources - Document Storage - API - Activity Tracking - Automatic Backup - Visual Analytics **Additional Functionality** - Demand Forecasting - AI/Machine Learning - Drag & Drop - For Healthcare - Forecasting - Data Extraction - Third-Party Integrations - Decision Support - Modeling & Simulation - Alerts/Notifications - Reporting/Analytics - Multiple Data Sources - For Retail - For Education - Data Discovery - Graphical Workflow Editor - Performance Metrics - Business Rules Management - AI Copilot - Natural Language Processing - Data Transformation - Data Clustering - API - Data Blending - Data Classification - Workflow Management - Workflow Automation **Additional Functionality** - Monitoring - Activity Tracking - Data Collection - Access Controls/Permissions - Predictive Analytics - Computer Assisted Coding - Activity Dashboard - Real-Time Analytics - AI Copilot - Reporting & Statistics - Data Import/Export - Mixed Methods Research - Website Analytics - Multimedia Support - Media Analytics - Categorization/Grouping - Data Storage Management - Feedback Management - Tagging - Collaboration Tools - Single Sign On - Drag & Drop - Annotations - Customizable Branding - Data Coding - Multiple Data Sources - API - Search/Filter - Customizable Reports **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services - Real-Time Analytics - Reporting/Analytics - Real-Time Analytics - Reporting/Analytics - Visual Analytics **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **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 - Third-Party Integrations **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support - Database Support **Additional Functionality** - Metadata Management - Collaboration Tools - Search/Filter - Workflow Management - AI Copilot - Third-Party Integrations - Data Synchronization - Data Import/Export - Customizable Rules - Master Data Management - Monitoring - Data Transformation - Multiple Data Sources - Self Service Portal - Customer Database - Data Verification - Data Migration - Multi-Language - Single Sign On - Duplicate Detection - Email Address Extraction - Reporting/Analytics - Data Profiling - Data Extraction - Data Mapping - Address Validation - Match & Merge - Performance Metrics - Visual Analytics - Version Control - API - Data Capture and Transfer - Access Controls/Permissions - Compliance Management - Data Discovery **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 - Ad hoc Query - Visual Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management **Additional Functionality** - Drag & Drop - Secure Data Storage - Data Import/Export - Customizable Branding - Dashboard Creation - Access Controls/Permissions - Real-Time Reporting - Metadata Management - Forecasting - Data Storage Management - Ad hoc Analysis - Ad hoc Reporting - Data Migration - AI Copilot - Self Service Data Preparation - Search/Filter - Data Mapping - Monitoring - Sentiment Analysis - User Management - Sales Trend Analysis - Charting - Reporting & Statistics - Performance Metrics - Alerts/Notifications - Data Extraction - Widgets - Storytelling - Trend Analysis - Collaboration Tools - Financing Management - Self-service Analytics - KPI Monitoring - Dashboard - API - Data Integration - Scorecards - Data Management - Task Management - Progress Tracking - Data Connectors - Data Visualization - Profitability Analysis - Project Tracking - Strategic Planning - Goal Setting/Tracking - Publishing/Sharing - Predictive Analytics - Real-Time Monitoring - Templates - Mobile Access - Customizable Templates - Workflow Management - Financial Reporting - Audit Management - OLAP - Single Sign On - Data Synchronization ## Top SAS Viya Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,337 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (861 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (713 reviews)