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."
"Simplifies report designs and quickly displays tables and graphs."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"It integrates well with SAS, making it simple and quick for developers."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"It's relatively simple to create basic dashboards and reports."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"It’s good for quick visualization and being able to quickly consume unstructured data to play around with."
"This solution has transformed us from an Excel reporting environment to one of visual exploration."
"Easy to create graphs and visualizations."
"Tableau's initial setup was straightforward."
"The product’s performance is better than other tools."
"From my perspective, it enables clients to better understand our data and make better decisions based on that information."
"The initial setup is quick and easy and you don't need special outside assistance to set everything up."
"The solution helps users create dashboards and analyze data without relying on IT or product teams."
"A bit more flexibility in the temperatization will be helpful."
"I haven't come across any missing features."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"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 installation process can be a bit complex."
"Colours used on report objects"
"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."
"I am a BI consultant. I have worked on different reporting tools, such as Power BI and MicroStrategy. As compared to other tools, Tableau lags behind in handling huge enterprise-level data in terms of robust security and the single integrated metadata concept. When we connect to large or very big databases, then performance-wise, I sometimes found Tableau a little bit slow. It can have the single metadata concept like other tools for the reusability of the objects in multiple reports."
"Some of our clients are looking for better UI when using Tableau as they often work with this solution directly."
"We did have issues with Tableau 10.1 server with the brokers failing on heavy load but since moving to 10.2, then to 10.3, this issue seems to have been resolved and the environment is now quite stable."
"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."
"Its integration with Microsoft products such as Teams should be improved."
"Tableau is an end-to-end analytics platform, and it is doing a pretty good job in terms of connecting to the data and analyzing it. It can, however, do better in terms of data management and the ETL features, which are not on the advanced analytics or machine learning side. Tableau Prep is where users would want to see more advancements. They can improve Tableau Prep, which is an analytic platform tool for data cleansing. People who work with data spend most of their time curating the data. Cleaning up the data and getting it ready for analysis is what takes the most time. If Tableau can invest more time in improving the Tableau Prep platform, it would be great. Previously, Tableau didn't have the functionality for writing to a database. So, you couldn't really alter the database tables and write to your database, but they fixed that in one of the very recent releases. However, it isn't really advanced and should be improved."
"The performance could be better."
"The product needs to allow for better ways to drill down more effectively on the information at hand."
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.
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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.