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."
"It integrates well with SAS, making it simple and quick for developers."
"It provided the capability to visualize a bunch of data in an organized way."
"The technical support services are good."
"Simplifies report designs and quickly displays tables and graphs."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"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."
"A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool."
"Tableau is highly scalable. Now that they've introduced Hyper, you can create an extract of more than 5 million rows in minutes and then do your analysis."
"Tableau Prep tool for data preparation is a most valuable tool."
"All features are valuable. It is very user-friendly, and it is mostly drag-and-drop. If we have the dataset available, then we can develop any dashboard very quickly."
"Good data flow and management."
"The most valuable feature is that we can integrate with our own database, and it will displays the KPIs. This is highly required from the business side."
"It most valuable feature is its ease of developing visualizations, not just charts and graphs."
"The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now."
"The installation process can be a bit complex."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The product is expensive and needs the integration of more languages."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The solution is a little weak at the front end."
"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we 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."
"Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment."
"The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great."
"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 product's features for cloud integration need improvement."
"The price of Tableau is too high."
"The user experience for less savvy or non-technical people (from my experience)."
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.