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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

"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."
"I like the way the product visually shows the data pipeline."
"The solution is able to handle quite large amounts of data beautifully."
"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 setup is straightforward. Deployment doesn't take more than 30 minutes."
"he solution is scalable."
"Good data management and analytics."
"Great for handling complex data models."
"I use Visual Analytics for enterprise reporting."
"We've found the product to be stable and reliable."
"It is a very stable solution."
"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 quite easy to learn and to progress with SAS from an end-user perspective."
"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."
"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."
 

Cons

"The ease of use can be improved. When you are new it seems a bit complex."
"Technical support could be improved."
"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."
"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."
"Virtualization could be much better."
"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 initial setup is challenging if doing it for the first time."
"The solution should improve its graphics."
"I haven't come across any missing features."
"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."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"A bit more flexibility in the temperatization will be helpful."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"Colours used on report objects"
 

Pricing and Cost Advice

"This solution is for large corporations because not everybody can afford it."
"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."
"The solution must improve its licensing models."
"The product is quite expensive."
"SAS Visual Analytics is expensive, as is the rest of the platform."
"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
"Licensing is simple."
"The product is expensive."
"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."
"The cost of the solution can be expensive. There is an additional cost for users."
"It was licensed for corporate use, and its licensing was on a yearly basis."
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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
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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.