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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

We have seen Viya deliver some outstanding results to our customers Review collected by and hosted on G2.com.

Currently it can be expensive and has a large footprint which makes it difficult to introduce into SMB customers Review collected by and hosted on G2.com.

-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. Review collected by and hosted on G2.com.

-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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I like SAS Viya because it’s fast, flexible, and easy to use. It brings everything—data preparation, analytics, and AI—together in one place, and it integrates well with tools like Python and R, which makes my analysis smoother and more efficient. Review collected by and hosted on G2.com.

At first, it can feel a little complex, and there’s definitely a learning curve to fully understand all the features. It can also be fairly resource-intensive and somewhat expensive, which may be difficult for smaller teams to manage. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I like how SAS Viya bridges the gap between creative flexibility and rigorous governance. It's also great that we can work in multiple languages including Python and R. The initial setup was pretty easy and quick, which I really appreciated. Review collected by and hosted on G2.com.

Learning curve is big, need lots of dedicated time. I feel cloud hosting cost will be high with SAS Viya. Review collected by and hosted on G2.com.

User friendly, easy to use, creates great graphics and able to slice and dice the data with a click of a mouse. Review collected by and hosted on G2.com.

Some of the out of the box features can be limiting. One of the challenges we have had was with analytics where we are trying to understand missing values and the missing were not showing up on the charts. Review collected by and hosted on G2.com.