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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I really like how SAS Viya combines powerful data analysis tools with an easy-to-use web interface. It runs smoothly in the cloud, so I can access my work from anywhere without installing software. The integration with SAS Studio and visualization features are also very helpful for academic projects. Review collected by and hosted on G2.com.

Sometimes the file upload size limit (around 90 MB) can be restrictive, especially when working with large datasets for research or class projects. It would be great if SAS increased the limit to make it easier to handle bigger files Review collected by and hosted on G2.com.

I love how we can analyze our data in various ways, and we can have an automated report that multiple people can look at it. I also love how we can get insights with our data without coding but can also use code. I also love how we are supported by the people at SAS as well. Review collected by and hosted on G2.com.

I have not seen any downsides when using Viya yet. Review collected by and hosted on G2.com.

SAS Viya stands out as a cloud‑native, high‑performance analytics platform, bringing together powerful distributed processing (CAS) and open integration with SAS, Python, and R—all within one secure, scalable environment. Review collected by and hosted on G2.com.

SAS Viya continuously evolves, which creates great opportunities to learn modern cloud technologies, adopt new features, and improve efficiency through automation and scalable architecture. Review collected by and hosted on G2.com.

What I like most about SAS Viya is its high performance, powerful analytics tools, and seamless cloud integration. It speeds up data processing and enables teams to build and deploy machine-learning models efficiently, all within a single platform. Review collected by and hosted on G2.com.

What I dislike about SAS Viya is that the setup process can be quite complex, and it often requires advanced technical skills to manage and maintain properly. In larger environments, it can also consume significant system resources, which adds to the overall effort of running it. Review collected by and hosted on G2.com.

I like the fact that getting started with SAS Viya is easy and very intuitive. We understand the logic for creating our graphs and presentations very easily. SAS Viya also offers many graphs that help us find what we want to do. Moreover, I worked directly on the website which worked very well. Review collected by and hosted on G2.com.

The only one I had trouble mastering at first was the scrolling containers and precision containers. I couldn't understand the logic to use them effectively at the same time. Review collected by and hosted on G2.com.

SAS Viya is very useful for clinical programming, especially for creating tables, listings, and figures. It’s also helpful for building dashboards and producing clear graphical representations. Review collected by and hosted on G2.com.

Everything is very easy to use, so there’s really nothing I dislike about SAS Viya. Review collected by and hosted on G2.com.

I like that SAS Viya is very intuitive and easy to use. I find the graphics very pleasing and I appreciate how it saves a lot of time in data management and cleaning. Additionally, the initial setup was very easy. Review collected by and hosted on G2.com.

The ability to set parameters in forecasting models on Visual Analytics and the ability to implement codes in different languages Review collected by and hosted on G2.com.

What I like best about SAS Viya is its modern, cloud‑native architecture combined with advanced analytics at scale. It delivers powerful AI/ML capabilities, strong performance on large datasets, and seamless integration with open‑source tools like Python and R. The web‑based interface, automation support, and flexibility across cloud and on‑prem environments make it both user‑friendly and enterprise‑ready. Review collected by and hosted on G2.com.

Complex setup and administration, Steep learning curve, Cost and licensing complexity, Performance tuning required,UI inconsistency across apps Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.