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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 (18th)
SAS Visual Analytics
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
Data Visualization (7th)
 

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 4.2%, down 4.5% compared to last year.
SAS Visual Analytics, on the other hand, focuses on Data Visualization, holds 4.2% mindshare, down 6.0% since last year.
Data Mining
Data Visualization
 

Featured Reviews

reviewer1352853 - PeerSpot reviewer
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…
Renato Vazamin - PeerSpot reviewer
Single environment for multiple phases saves us time, and has good visualizations
We had that solution installed previously in another solution, Selvaya, but I don't think we used it at the time. We are now using SAS Detect Investigation as a complementary solution, in which we have part of the process, use a gene, SAS collects information and identifies some business situations, and the business guys use Visual Analytics to explore the results of the process. We previously used the FICO platform, but we switched because FICO's pricing was not scalable. Bringing more data or workloads to the platform required a significant investment in order to scale. We needed to change because we have a lot of data to process every day. FICO was also a little more complicated than SAS Visual Analytics.

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."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The solution is able to handle quite large amounts of data beautifully."
"he solution is scalable."
"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 very good for data mining or any mining issues."
"I like the way the product visually shows the data pipeline."
"Good data management and analytics."
"It is a very stable solution."
"The technical support services are good."
"We've found the product to be stable and reliable."
"It integrates well with SAS, making it simple and quick for developers."
"Simplifies report designs and quickly displays tables and graphs."
"The flexibility of the configuration is valuable to me."
"The speed to display charts and react to users' choices is great."
"I would rate the overall solution a ten out of ten."
 

Cons

"The user interface of the solution needs improvement. It needs to be more visual."
"The initial setup is challenging if doing it for the first time."
"The ease of use can be improved. When you are new it seems a bit complex."
"Technical support could be improved."
"The solution is much more complex than other options."
"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."
"The product must provide better integration with cloud-native technologies."
"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."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"A bit more flexibility in the temperatization will be helpful."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"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 solution is a little weak at the front end."
"It is not as mature as competitors such as Tableau and QlikView."
 

Pricing and Cost Advice

"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."
"This solution is for large corporations because not everybody can afford it."
"The product is expensive."
"$10,000 per annum for an enterprise license."
"The product is quite expensive."
"Licensing is simple."
"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."
"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."
"It's approximately $114,000 US dollars per year."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
University
11%
Educational Organization
10%
Manufacturing Company
9%
Financial Services Firm
21%
Government
12%
Computer Software Company
10%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about SAS Enterprise Miner?
I like the way the product visually shows the data pipeline.
What is your experience regarding pricing and costs for SAS Enterprise Miner?
The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pric...
What needs improvement with SAS Enterprise Miner?
The product must provide better integration with cloud-native technologies.
What do you like most about SAS Visual Analytics?
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 w...
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...
 

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, Weka, IBM and others in Data Mining. Updated: May 2025.
851,604 professionals have used our research since 2012.