We performed a comparison between IBM Watson Studio and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."It is a stable, reliable product."
"IBM Watson Studio consistently automates across channels."
"Stability-wise, it is a great tool."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"Watson Studio is very stable."
"The scalability of IBM Watson Studio is great."
"It is a very stable and reliable solution."
"It has a lot of data connectors, which is extremely helpful."
"Simplifies report designs and quickly displays tables and graphs."
"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."
"I use Visual Analytics for enterprise reporting."
"The technical support services are good."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"It's relatively simple to create basic dashboards and reports."
"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."
"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"I think maybe the support is an area where it lacks."
"So a better user interface could be very helpful"
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"The decision making in their decision making feature is less good than other options."
"The solution's interface is very slow at times."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"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 solution should improve its graphics."
"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 installation process can be a bit complex."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
IBM Watson Studio is ranked 11th in Data Science Platforms with 13 reviews while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. IBM Watson Studio is rated 8.2, while SAS Visual Analytics is rated 8.0. The top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Azure OpenAI, Google Vertex AI and SAP Predictive Analytics, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks and Microsoft Azure Machine Learning Studio.
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