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."The flexibility of the configuration is valuable to me."
"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."
"I use Visual Analytics for enterprise reporting."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"Simplifies report designs and quickly displays tables and graphs."
"The technical support services are good."
"The product is stable, reliable, and scalable."
"It is definitely easy to use. It is intuitive, and more or less, everything can be done from the front end. As such, there is no concept of metadata. You can just take data from a database and start building your own stuff, such as OLAP data warehouse. You don't need extensive metadata modeling like Oracle BI."
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"It has been the best tool to work with from a self-service point of view."
"It provides business users with a tool, so they are not dependent on IT."
"When compared to Power BI, Tableau has more readily available resources."
"The solution allows for the possibility for end-users to do their own reporting."
"Its performance is pretty good, and the development time is very low."
"This solution has transformed us from an Excel reporting environment to one of visual exploration."
"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 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."
"The product is expensive and needs the integration of more languages."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"SAS Visual Analytics could be more user-friendly."
"The solution is a little weak at the front end."
"The solution should improve its graphics."
"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 we put more information on a single screen, it gets compressed and superimposed in many places while scrolling."
"The interface can be improved, in part because there is no indication that something is running or that it's processing."
"When compared to Power BI, it is less user-friendly."
"Licensing and pricing options could be made better so that more users would be able to use it."
"With performance tuning, it generates a pretty complex query when it is not required."
"It will be good if the server, could be more stable, and I would like to have the technical service to be more reliable."
"The pricing is high. I'm using a student license, however, I know that even this license is very expensive. I've tried to have this product in our organization, however, it's quite expensive. We don't have the internal budget."
"They need to improve the bar chart position and width."
SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews while Tableau is ranked 1st in Data Visualization with 293 reviews. SAS Visual Analytics is rated 8.2, 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 and SAS Enterprise Miner, whereas Tableau is most compared with Microsoft Power BI, Domo, Amazon QuickSight, Databricks and SAP Analytics Cloud. See our SAS Visual Analytics vs. Tableau report.
See our list of best Data Visualization vendors.
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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.