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."We've found the product to be stable and reliable."
"I use Visual Analytics for enterprise reporting."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The flexibility of the configuration is valuable to me."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The technical support services are good."
"It's relatively simple to create basic dashboards and reports."
"It provided the capability to visualize a bunch of data in an organized way."
"The initial setup is quick and easy and you don't need special outside assistance to set everything up."
"The most valuable part of the solution is the general dashboard features."
"Visualization attributes: Marks – Color, Size, Label, etc.. Easily Accessible and Intuitive."
"You can create attractive dashboards that inform users using Tableau."
"The most valuable feature is the drag and drop, then the simplicity to build dashboards which allows us to provide more usable data to our customers."
"The solution offers very good reporting."
"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."
"The most important feature in Tableau is visual analytics."
"The solution is a little weak at the front end."
"The product is expensive and needs the integration of more languages."
"A bit more flexibility in the temperatization will be helpful."
"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."
"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."
"SAS Visual Analytics could be more user-friendly."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"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."
"Users would like to be able to export an Excel file when they see a table or something like that. That's not an out-of-the-box feature for Tableau."
"It needs more ETL capabilities, to be able to address the end-to-end BI need."
"The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet."
"The pricing is a bit expensive."
"It should have more integration with different tools and technologies. Its licensing cost should also be improved."
"The only issue with the solution is with its prices at a regional level."
"The solution needs to improve its integration capabilities."
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, SAP Analytics Cloud and Databricks. See our SAS Visual Analytics vs. Tableau report.
See our list of best Data Visualization vendors.
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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.