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 product is stable, reliable, and scalable."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"Data handling is one of the best features of SAS Visual Analytics."
"The speed to display charts and react to users' choices is great."
"The technical support services are good."
"We've found the product to be stable and reliable."
"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 provided the capability to visualize a bunch of data in an organized way."
"There are already connectors to almost every single major database and service that you can possibly think of."
"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."
"The most valuable features of the solution are the permission management and the user management."
"It is very easy to implement and to use."
"You can create attractive dashboards that inform users using Tableau."
"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."
"The ease of presenting findings is very helpful."
"While using this solution I have found the valuable features to be ease of use and the visualization. It is a complete solution."
"The product is expensive and needs the integration of more languages."
"The licensing ends up being more expensive than other options."
"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 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."
"I haven't come across any missing features."
"A bit more flexibility in the temperatization will be helpful."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"It is not as mature as competitors such as Tableau and QlikView."
"Licensing and pricing options could be made better so that more users would be able to use it."
"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."
"We need big servers to perform the operations that we are doing. They should probably relook at its architecture."
"It will be good if the server, could be more stable, and I would like to have the technical service to be more reliable."
"When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers."
"To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms."
"They need to improve the bar chart position and width."
"There could be improvements on the mobile application, it is lacking features."
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.
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.