We performed a comparison between SAS Visual Analytics and Teradata Analytics [EOL] based on real PeerSpot user reviews.
Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization."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."
"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."
"Data handling is one of the best features of SAS Visual Analytics."
"The technical support services are good."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"It integrates well with SAS, making it simple and quick for developers."
"Great for handling complex data models."
"It's a stable, reliable product."
"nPath has made journey/path analysis much easier."
"It has been fantastic for running complete data sets (no sampling required)."
"Provides ease of formulating a solution based on SQL-like queries."
"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."
"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 solution is a little weak at the front end."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"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."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"The product is expensive and needs the integration of more languages."
"I would like to see more/better documentation. They also need to enhance analytic/data science algorithms."
"We have struggled with uptime. Some of the features need to be updated."
"I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such."
Earn 20 points
SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews while Teradata Analytics [EOL] doesn't meet the minimum requirements to be ranked in Data Visualization. SAS Visual Analytics is rated 8.0, while Teradata Analytics [EOL] is rated 7.0. 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 Teradata Analytics [EOL] writes "Streamlines formulating solutions based on SQL-like queries". SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio, whereas Teradata Analytics [EOL] is most compared with .
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.
