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."Data handling is one of the best features of SAS Visual Analytics."
"We've found the product to be stable and reliable."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"I use Visual Analytics for enterprise reporting."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"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."
"It integrates well with SAS, making it simple and quick for developers."
"The product has the best features for analytical views and filters."
"While using this solution I have found the valuable features to be ease of use and the visualization. It is a complete solution."
"There are already connectors to almost every single major database and service that you can possibly think of."
"The use of a storyboard helps the flow of the data visualisation."
"It's very easy to set everything up."
"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."
"Tableau is an advanced specialized tool. One of the best features I've seen is the lack of an intermediate semantic layer. I think that's an advantage compared to any other tool like BusinessObjects or Power BI, which are Tableau's biggest competitors."
"The most valuable feature is the user experience."
"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."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"The solution should improve its graphics."
"SAS Visual Analytics could be more user-friendly."
"The product is expensive and needs the integration of more languages."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"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."
"It is not as mature as competitors such as Tableau and QlikView."
"There should be more GIS features, such as location analysis, which is quite limited. There are very few location-based functionalities."
"The ability to use it on MAC machines. As far as I know, this is not possible."
"Improvements in schema security and row/column security need to be made."
"The process of embedding the dashboards on external portals and websites could be improved."
"An area needing improvement involves the complexity of the product should you need to alter a lot of parameters. If you have technical servers, much interface, different providers and more serious processes, that will be time consuming."
"The interface can be improved, in part because there is no indication that something is running or that it's processing."
"More integration with Python or something related to machine learning would be a good improvement."
"I would like them to include the Italian language, as I can see there are other foreign language in the product."
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.