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SAS Enterprise Miner vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

SAS Enterprise Miner
Average Rating
7.6
Reviews Sentiment
6.2
Number of Reviews
13
Ranking in other categories
Data Mining (7th), Data Science Platforms (23rd)
SAS Visual Analytics
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
Data Visualization (9th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. SAS Enterprise Miner is designed for Data Mining and holds a mindshare of 4.8%, up 4.3% compared to last year.
SAS Visual Analytics, on the other hand, focuses on Data Visualization, holds 2.1% mindshare, down 4.8% since last year.
Data Mining Market Share Distribution
ProductMarket Share (%)
SAS Enterprise Miner4.8%
IBM SPSS Modeler20.2%
IBM SPSS Statistics19.4%
Other55.6%
Data Mining
Data Visualization Market Share Distribution
ProductMarket Share (%)
SAS Visual Analytics2.1%
Tableau Enterprise11.3%
Qlik Sense5.6%
Other81.0%
Data Visualization
 

Featured Reviews

reviewer1352853 - PeerSpot reviewer
Executive Head of analytics at a retailer with 5,001-10,000 employees
A stable product that is easy to deploy and can be used for structured and unstructured data mining
We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…
AN
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
Enables effective data management and reporting with a straightforward setup
SAS Visual Analytics is helpful as it allows us to perform any queries we need. The ability to query information from our Excel data into SAS to view specific data is invaluable. In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"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."
"The technical support is very good."
"The most valuable feature is the decision tree creation."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The solution is able to handle quite large amounts of data beautifully."
"The tool's most valuable features are its ease of use and advanced data visualization capabilities."
"The speed to display charts and react to users' choices is great."
"It's a stable, reliable product."
"The visualization capabilities and the email functionality are most beneficial."
"We've found the product to be stable and reliable."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"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."
"The technical support services are good."
 

Cons

"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."
"Technical support could be improved."
"The solution is much more complex than other options."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The product must provide better integration with cloud-native technologies."
"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 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."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"There are certain shortcomings in the tool's support services, making it an area where improvements are required."
"The integration aspects of the solution could be improved."
"The product is expensive and needs the integration of more languages."
"A bit more flexibility in the temperatization will be helpful."
"Colours used on report objects"
"SAS Visual Analytics could be more user-friendly."
"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."
 

Pricing and Cost Advice

"This solution is for large corporations because not everybody can afford it."
"The solution must improve its licensing models."
"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
"It was licensed for corporate use, and its licensing was on a yearly basis."
"$10,000 per annum for an enterprise license."
"The cost of the solution can be expensive. There is an additional cost for users."
"It's approximately $114,000 US dollars per year."
"The product is quite expensive."
"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."
"The product is expensive."
"Licensing is simple."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Educational Organization
11%
Manufacturing Company
10%
University
9%
Financial Services Firm
17%
Government
10%
Computer Software Company
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise7
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise8
Large Enterprise19
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may be that our current subscription does not include AI-enabled features, but I wo...
What is your primary use case for SAS Visual Analytics?
I started to work with SAS Visual Analytics ( /products/sas-visual-analytics-reviews ) in 2015. We use it for analysis on ICT expenditure information and ICT personnel information. The analytics ar...
 

Also Known As

Enterprise Miner
SAS BI
 

Overview

 

Sample Customers

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: January 2026.
881,082 professionals have used our research since 2012.