"The solution is quite stable."
"Data Science Studio's data science model is very useful."
"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."
"Great for handling complex data models."
"We've found the product to be stable and reliable."
"It's a stable, reliable product."
"Data handling is one of the best features of SAS Visual Analytics."
"I use Visual Analytics for enterprise reporting."
"It provided the capability to visualize a bunch of data in an organized way."
"The product is stable, reliable, and scalable."
"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."
"I think it would help if Data Science Studio added some more features and improved the data model."
"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 installation process can be a bit complex."
"The solution is a little weak at the front end."
"It is not as mature as competitors such as Tableau and QlikView."
"The licensing ends up being more expensive than other options."
"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."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"There is a need for coding when it comes to digital reporting which can be intimidating."
Dataiku Data Science Studio is ranked 8th in Data Science Platforms with 2 reviews while SAS Visual Analytics is ranked 4th in Data Visualization with 13 reviews. Dataiku Data Science Studio is rated 9.6, while SAS Visual Analytics is rated 8.4. The top reviewer of Dataiku Data Science Studio writes "Flexible and intuitive with good stability". On the other hand, the top reviewer of SAS Visual Analytics writes "Easy to learn and use with good scalability potential". Dataiku Data Science Studio is most compared with Databricks, Alteryx, Microsoft Azure Machine Learning Studio, Amazon SageMaker and Cloudera Data Science Workbench, whereas SAS Visual Analytics is most compared with Tableau, Microsoft BI, Databricks, Qlik Sense and Microsoft Azure Machine Learning Studio.
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