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."
"Great for handling complex data models."
"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."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"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."
"The speed to display charts and react to users' choices is great."
"The technical support services are good."
"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."
"It most valuable feature is its ease of developing visualizations, not just charts and graphs."
"It provides business users with a tool, so they are not dependent on IT."
"Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution."
"The number one thing was just the ease of getting something up quickly. The other thing that was good about it was that it was fairly fast for decent-sized data sets in terms of performance and run time."
"There is a lot of APIs available, which means that Tableau can be customized to a large extent."
"I love the customization skills that Tableau has, it is not restricted to what is built-in already."
"It's very user-friendly. It's not like Power BI, Tableau is very user-friendly. Anybody can use Tableau. It's very easy to adopt things. I can visualize the stats."
"The action feature which Tableau has is very useful for us. If we click on one visualization, it will pass the value to another visualization. That interactivity within different visualizations is the most valuable feature of Tableau."
"The product is expensive and needs the integration of more languages."
"SAS Visual Analytics could be more user-friendly."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"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"
"A bit more flexibility in the temperatization will be helpful."
"When I've done presentations in the past, I've had issues with uploading the cartography."
"The solution could improve the scalability, it is difficult to make changes."
"Firstly, the high cost of Tableau licenses makes it inaccessible for many mid-scale clients. Secondly, the server requires at least 128GB of RAM, which can be impractical for some systems. We need a dedicated system to use Tableau."
"Improvements in schema security and row/column security need to be made."
"If you wanted to create something without making it an extra column in the data set, you can't just rename it to a more user-friendly short name."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"The charts need to be improved. The drawings and the visualization need to be more accurate."
"The forecasting feature in Tableau in my view is too limited because it must have dates but I should be able to predict the outcome of an event without having a date as part of the input."
SAS Visual Analytics is ranked 7th in Data Visualization with 9 reviews while Tableau is ranked 1st in Data Visualization with 18 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, SAP Analytics Cloud and Databricks. 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.