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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I can download complete reports with all the complaints received in a period of time and there is a lot of information that I can filter in and out Review collected by and hosted on G2.com.

It takes a little time to know how to use it, if you don't choose the information right you might get duplicate lines you that is a watch out when trying to analyze a lot of data. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Fast processing speed especially when my data sets are in Viya Azure environment. Super fast!!! Review collected by and hosted on G2.com.

The learning curve is not as smooth as I thought, and lack of supporting groups like what 9.4 has. Review collected by and hosted on G2.com.

I find SAS Viya really easy to use, which makes managing external data sources and KPIs much simpler. I appreciate the low friction learning curve, which means I can get up to speed quickly. The user interface is a highlight for me, along with the selection of tools it offers, which helps me manage disparate data effectively. Review collected by and hosted on G2.com.

I have not heard any complaints Review collected by and hosted on G2.com.

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.