No more typing reviews! Try our Samantha, our new voice AI agent.

SAS Analytics vs SAS Enterprise Miner comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive SummaryUpdated on May 21, 2025

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 Analytics
Ranking in Data Mining
4th
Average Rating
9.2
Reviews Sentiment
5.9
Number of Reviews
13
Ranking in other categories
No ranking in other categories
SAS Enterprise Miner
Ranking in Data Mining
7th
Average Rating
7.6
Reviews Sentiment
6.2
Number of Reviews
13
Ranking in other categories
Data Science Platforms (20th)
 

Mindshare comparison

As of November 2026, in the Data Mining category, the mindshare of SAS Analytics is 8.9%, up from 6.5% compared to the previous year. The mindshare of SAS Enterprise Miner is 10.1%, up from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining Mindshare Distribution
ProductMindshare (%)
SAS Analytics8.9%
SAS Enterprise Miner10.1%
Other81.0%
Data Mining
 

Featured Reviews

SC
Student at Rochester Institute of Technology
Data management has become faster and clearer but integration and large data handling still need work
SAS Analytics needs to improve for entry-level people in my college because buying licenses is somewhat costly for small businesses. SAS Analytics is also somewhat complex for students who are entering the data field. Additionally, SAS Analytics is not good at integration with other environments, so it should improve on that, and some syntaxes are not good. SAS Analytics has an older architecture in some areas, so it should enhance the UX side and performance in some aspects. SAS Analytics documentation should improve to be clearer for students who are currently using or trying to use SAS Analytics, so the documentation should be simplified. Customer service is pretty good as of now, as they respond in two to four hours on business days, but faster response times may solve many problems and attract more users. I rate SAS Analytics seven or eight out of ten. SAS Analytics should improve in massive data handling, as I mentioned earlier. SAS Analytics struggles when it handles massive data, and it should also get top-tier support. The support should improve from two to four hours down to one hour or even thirty minutes. SAS Analytics should also offer more low-code options for those who do not know how to code or to save more time, and they should consider reducing their pricing. Currently, SAS Analytics has limited flexibility and very limited integration, so improvements in those areas are necessary. SAS Analytics student version does not handle long or lengthy data well right now, so it should improve on that point. As I have mentioned, it struggles with larger data sets, but for current small or medium data sets, it is very good. Customer support should improve to fifteen to thirty minutes or immediate live agents during business hours. The two to four hours wait can sometimes take more than one day, and that does not make sense. We have to stop all our work until they reply if we encounter critical problems, so they should improve for certain.
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…

Quotes from Members

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

Pros

"The team immediately resolves the issues."
"The most valuable aspect of SAS Analytics is the ability to automate work using macros without heavily relying on technology teams, allowing me to create functions that operate independently and streamline workflows efficiently."
"I think that the cost-benefit ratio is okay, it is the right balance."
"It's very easy to use once you learn it."
"SAS Analytics is a very versatile and comfortable tool and it is powerful because I can work with data from many millions of records, big data with SAS Analytics in a short time versus other software."
"The technical support is okay."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"I use SAS daily to analyze data, produce reports, and other outputs."
"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."
"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."
"he solution is scalable."
"The data processing of the solution is very good, easy to use, both for enterprise and personal use."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"I like the way the product visually shows the data pipeline."
 

Cons

"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"​Support at universities used to be limited, but I hear this is changing.​"
"This solution should be made more user-friendly."
"The installation could also be easier, and the price could be better."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"With SAS Analytics, I find that the graphs are very poor, and since I use Power BI, I think SAS Analytics needs to enhance the visualization options to do better visualizations."
"Price of the product"
"The user interface of the solution needs improvement. It needs to be more visual."
"Technical support could be improved."
"The solution is quite expensive. The pricing is too high."
"The preparation of both the mining and modeling process could be improved. The solution requires data and will reflect data, but the preparation of the data is not useful for end-users; we ended up having to do the preparation in another tool."
"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 license is really expensive. This solution is for large corporations because not everybody can afford it."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
 

Pricing and Cost Advice

"​The cost for SAS Business Intelligence can prove to be a little prohibitive.​"
"Licensing was rather straightforward."
"Our licensing covers the usage for around 50 data analysts."
"SAS is very expensive."
"I rate the product’s pricing a one out of ten."
"​Setup costs were quite reasonable."
"I think that the cost-benefit ratio is okay."
"Prices were comparable with alternative solutions."
"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 solution must improve its licensing models."
report
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
920,939 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
23%
Outsourcing Company
14%
University
12%
Construction Company
8%
Financial Services Firm
16%
Construction Company
11%
Manufacturing Company
10%
Educational Organization
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise11
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise7
 

Questions from the Community

What needs improvement with SAS Analytics?
With SAS Analytics, I find that the graphs are very poor, and since I use Power BI, I think SAS Analytics needs to enhance the visualization options to do better visualizations. Many other software...
What is your primary use case for SAS Analytics?
I work with SAS Analytics solutions, specifically with SAS Data Mining, because I extract information from the core system of the bank via ODBC connections and use SAS Base on the servers. I am the...
What is your experience regarding pricing and costs for SAS Analytics?
As a student, I do not pay anything for pricing; my college gives me credentials, and SAS Analytics is free for students, so the licensing is also free. Thus, SAS Analytics for students is very good.
Ask a question
Earn 20 points
 

Also Known As

No data available
Enterprise Miner
 

Overview

 

Sample Customers

Aegon, Alberta Parks, Amway China, Axel Springer, Bank of America, Belgium Special Tax, CAP Index, CareSource, CBE Group, Cemig, Center for Responsible Lending, CESCE, Ceska sporitelna, Chantecler, Chico's, Chubb Group of Insurance Companies, CIGNA Thailand, City of Wiesbaden, Germany, Confused.com, Creditreform, Des Moines Area Community College, Deutsche Lufthansa, Directorate of Economics and Statistics, DIRECTV, Dow Chemical Company, Dow Chemical Company, Dun & Bradstreet, EDF Energy, Electrabel GDF SUEZ, ERGO Insurance Group, Erste Bank Croatia, Farmers Mutual Group, Finnair, Florida Department of Corrections, Geneia, Generali Hellas, Genting Malaysia Berhad, Grameenphone, Grandi Salumifici Italiani, HealthPartners, Highmark, Hong Kong Efficiency Unit, HP, Hyundai Securities, Illinois Department of Healthcare and Family ServicesInc Research, ING-DiBa, Institut Pertanian Bogor, InterContinental Hotels Group (IHG), IOM, Kelley Blue Book, Lenovo, Lillebaelt Hospital, Los Angeles County, Maspex Wadowice Group, National Bank of Greece, New Zealand Ministry of Health, New Zealand Ministry of Social Development, Nippon Paper, NMIMS, North Carolina Department of Transportation, North Carolina Office of Information Technology Services, Northern Virginia Electric Cooperative (NOVEC), Oberweis Dairy, ODEC, Ohio Mutual Insurance Group, Oklahoma State University, OneBeacon, Orange Business Services, Orange County Child Support Services, Organic, Orlando Magic, OTP Bank, Plano Independent School District, Project Odyssey, Royal Society for the Protection of Birds, RSA Canada, SCAD, Scotiabank, Singapore National Library Board, Sobeys Inc., SRA International, Staples, Statistics Estonia, Swisscom, SymphonyIRI Group, Telecom Italia, Telef‹nica O2, Town of Cary, Transitions Optical, TrueCar, Turkcell Superonline, UniCredit Bank Serbia, University of Alabama, University of Missouri, USDA National Agricultural Statistics Service
Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Find out what your peers are saying about SAS Analytics vs. SAS Enterprise Miner and other solutions. Updated: November 2026.
920,939 professionals have used our research since 2012.