We performed a comparison between SAS Visual Analytics and Tableau based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I use Visual Analytics for enterprise reporting."
"The product is stable, reliable, and scalable."
"It integrates well with SAS, making it simple and quick for developers."
"The technical support services are good."
"Simplifies report designs and quickly displays tables and graphs."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"It's a stable, reliable product."
"The flexibility of the configuration is valuable to me."
"I have found the solution easy to use and the interface is very good."
"I like the solution's web version, more so than Power BI's web version. It just makes it easier to drag and drop things and to blend data on the backend. It simplifies the process."
"Our customers love the visual capabilities on top of it and the ability to explain and get the required data. There is no other product like Tableau in the business intelligence and analytics space."
"The solution deployment was straightforward."
"Gradual scalability from simple to complex situations"
"Partner support is very good."
"When compared to Power BI, Tableau has more readily available resources."
"Tableau has many good features. It is user-friendly, has a simple-to-use interface, and has a customizable dashboard."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The solution is a little weak at the front end."
"The product is expensive and needs the integration of more languages."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"When compared to Power BI, it is less user-friendly."
"I don't have the ability in Tableau to create a tooltip and see the picture of a piece of jewelry or watch that is a best seller."
"It should offer better features for customization."
"The charting is overly complex in comparison with Power BI's"
"Some of our clients are looking for better UI when using Tableau as they often work with this solution directly."
"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."
"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."
"In the next release, I would like to be able to have the option to see more raw data that I'm converting on the dashboard."
SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews while Tableau is ranked 1st in Data Visualization with 290 reviews. SAS Visual Analytics is rated 8.0, while Tableau is rated 8.4. The top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". SAS Visual Analytics is most compared with Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and SAS Enterprise Miner, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, Databricks and SAP Analytics Cloud. See our SAS Visual Analytics vs. Tableau report.
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It totally depends on what SAS licensing are in place. Tableau provides integration with R as far as I know.
These products all do more or less the same things but often in a very different way. The differences that I am able to report are mainly:
-Look and feel and here Tableau is definitely superior.
-Usability, both on the user and developer side and here the products are not very far apart, I would say Tableau a little better.
-Managed data volumes and here SAS is unmatched (in Unicredit I have seen an installation that serves about 11000 users).
Tableau is a great tool for visual analytics but when it comes to statistical analysis, it has limited features. You can find basic descriptive statistics like mean, median, mode, SD, Skewness, Kurtosis, etc but for advanced statistical analysis, you can have machine learning models too along with advanced forecasting. If your work does not involve advanced statistical analysis then Tableau is a great tool for basic statistical analysis. In case you have further doubts, please feel free to ask.