We performed a comparison between SAS Enterprise Miner and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."he solution is scalable."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"The solution is very good for data mining or any mining issues."
"I like the way the product visually shows the data pipeline."
"The technical support is very good."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The most valuable feature is the decision tree creation."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"Data handling is one of the best features of SAS Visual Analytics."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"The speed to display charts and react to users' choices is great."
"Simplifies report designs and quickly displays tables and graphs."
"We've found the product to be stable and reliable."
"It provided the capability to visualize a bunch of data in an organized way."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"The solution is much more complex than other options."
"The product must provide better integration with cloud-native technologies."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"The user interface of the solution needs improvement. It needs to be more visual."
"Technical support could be improved."
"The ease of use can be improved. When you are new it seems a bit complex."
"The initial setup is challenging if doing it for the first time."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"SAS Visual Analytics could be more user-friendly."
"The solution is a little weak at the front end."
"I haven't come across any missing features."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"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."
"The solution should improve its graphics."
SAS Enterprise Miner is ranked 6th in Data Mining with 13 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. SAS Enterprise Miner is rated 7.6, while SAS Visual Analytics is rated 8.2. The top reviewer of SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio, KNIME and SAS Analytics, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Amazon SageMaker.
We monitor all Data Mining 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.
