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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I have been using SAS Viya for data analysis for five years, and I appreciate its role in seamlessly transitioning from SAS Enterprise Miner during my mechanical engineering degree. I find it especially helpful for inventory management in my store, where it effectively addresses numerous data analysis challenges. Setting up SAS Viya was a breeze, largely due to its compatibility with virtual lab environments where most settings are pre-configured. The integration with SAS Studio, and the ability to use the PROC MIRP procedure, greatly facilitate my inventory management tasks. I find the data engineering tools particularly useful, with the 'data step' feature being my go-to tool for data engineering tasks. Its ability to pull data from my ERP system via SES, API tool, and perform data manipulations, as well as create basic graphs, is highly beneficial. Moreover, I have integrated Microsoft Excel with SAS Viya successfully, which enhances my workflow. I am particularly impressed with SAS Viya's integration capabilities with other applications like SAS Model Studio and SAS Visual Analytics, which make it an exceptionally versatile tool. Review collected by and hosted on G2.com.

I find the SAS Visual Analytics application a bit rigid and would appreciate more flexibility. Review collected by and hosted on G2.com.

I really value having data preparation, management, analytics, and machine learning all gathered under one roof with SAS Viya. Before using it, I was spending a lot of time reconciling data across different environments. Now, the integrated workflow from data preparation through to model deployment in one environment has streamlined the process. I can trace any figure in a report back to its source, which is a huge help when preparing for internal reviews. Review collected by and hosted on G2.com.

The spatial and geostatistical procedures need refinement before I would trust them unvalidated for location-based modeling, and the documentation around those routines should be considerably more detailed than it currently is. Variogram fitting is sensitive to parameter choices, and the interpolated surfaces tend to smooth over genuine differences between adjacent submarkets when property data clusters unevenly. There's also a lack of diagnostics on fit and prediction uncertainty, which means I have to validate anything for a valuation or investment committee paper in a separate GIS tool. Review collected by and hosted on G2.com.

For coding, I really like the feature where SAS provides a preview of the code you’re about to write. For example, if I want to use the UPCASE function on a variable, as I’m typing it in SAS Studio, it shows a preview that helps me write the code faster and saves time. Review collected by and hosted on G2.com.

I struggle to see the full output data. I always have to scroll horizontally to view it, which makes it hard to read. It would be nice if there were a way to view all the output data and the code without needing a monitor, maybe by having separate tabs—one for output data, one for the log, and one for the code. Another thing is that I want to use SAS Viya copilot, but I don’t have access to it yet. If I’m not mistaken, it should come out later in November. Review collected by and hosted on G2.com.

For me, one of the biggest advantages has been its accessibility. I appreciated that, as soon as our data sources were connected, the platform immediately began organizing everything into interactive analyses without requiring any configuration on our part. It essentially handled the entire reporting workflow end to end, from building interactive dashboards and generating reports to surfacing key patterns. Review collected by and hosted on G2.com.

Our integration experience was exceptionally smooth, especially compared with more traditional business intelligence solutions. I honestly have nothing negative to say—the interface feels modern and intuitive, and it requires virtually no training to get started. Review collected by and hosted on G2.com.

I appreciate how SAS Viya brings order to the data flowing in from our study sites, allowing me to clean, standardize, and reconcile it into a single, dependable source. The automation spares me much repetitive processing, and the audit trail and access controls keep everything aligned with our strict standards. What wins me over is the analytical muscle behind an approachable workspace, letting me consolidate and interrogate large volumes of data. The governance controls assure me that sensitive information stays exactly where it should, keeping our data defensible under strict regulatory standards. I also find the analytical capabilities valuable for profiling and validating large datasets quickly, surfacing anomalies early on. Additionally, I use it alongside Workato and Egnyte to ensure clean data flow and secure storage. Review collected by and hosted on G2.com.

The learning curve is steep, and the more advanced capabilities call for a fair investment in training before they yield their full value. The licensing and infrastructure requirements are considerable too, and would give a smaller outfit pause. These are the costs of a platform built for serious work rather than shortcomings in the tool itself. The initial setup was more involved than most, requiring support from our IT team to get the environment properly configured before I could begin working in it. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

SAS Viya is one of the most powerful software application in this era that is emerging with data analysis and AI. Its has highly sophisticated features compared to the other open source platforms such as Azure data bricks with integrations with open source languages such as Python and R and the built in SAS programming make it easy for the SAS developers and the GenAI features of Viya copilot has a accelerated growth for a team and organizations. Review collected by and hosted on G2.com.

SAS Viya has high licensing cost due to its offering method of including all the products with in the license so even if the users are not using a product with in the license they end up paying for it or they have to pay for the entire package of products which ends up having a huge licensing cost for a single user. Review collected by and hosted on G2.com.

I really like SAS Viya for its no code and low code interface which makes things a lot easier. It's not just about the low code, but it also offers everything on a single platform, including in-memory analytics for faster results. They've recently added copilot capabilities, which really helps developers work more efficiently. Review collected by and hosted on G2.com.

I find that from the architecture standpoint, it takes huge infrastructure. If it can be optimized, then it would be great. Review collected by and hosted on G2.com.

I love how fast and easy it is to operate SAS Viya. It simplifies server maintenance by providing a single platform and customization features that make it user-friendly without the need for hard coding. I also appreciate accessing everything with one URL. The flexibility of integration with languages like JAVA, R, and Python adds tremendous value. I enjoy the UI customization and how the relationships and Geo Maps are present on every page, which enriches the overall experience. The ability to integrate different modules, such as using JAVA jar files for Sanction Screening, is very flexible. I can customize the front end using Visual Investigator, and the relationship tab helps me understand the data interactions clearly. Lastly, the setup was easy, thanks to the helpful guide. Review collected by and hosted on G2.com.

I find that since SAS Viya is completely cloud-based, there are many backend services supporting the environment, which makes the administration task very difficult. Review collected by and hosted on G2.com.