Try our new research platform with insights from 80,000+ expert users

SAS Enterprise Miner pros and cons

Vendor: SAS

3.8 out of 5

13 reviews
93% willing to recommend

Pros & Cons summary

SAS Enterprise Miner setup is swift, completed in less than 30 minutes, yet challenging for newcomers. Users praise its data mining capabilities, robust data management, and support for multiple algorithms. However, compatibility issues with the latest Java versions necessitate frequent system restarts. Virtualization and cloud-native integration need enhancement, and support services require improvement. Despite these concerns, its powerful analytics and highly rated technical support make it a valuable tool for handling substantial data volumes.

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.

Get the category report

Prominent pros & cons

PROS

Setup is straightforward with SAS Enterprise Miner, allowing deployment in under 30 minutes.

SAS Enterprise Miner excels in decision tree creation and supports the use of multiple algorithms for model comparison.

The platform is highly scalable and effectively handles large amounts of data.

SAS Enterprise Miner offers excellent data management and analytics capabilities.

The technical support provided for SAS Enterprise Miner is very strong.

CONS

SAS Enterprise Miner has stability issues when running on different Java versions, requiring monthly system restarts.

Virtualization capabilities of SAS Enterprise Miner need improvement.

Technical support for SAS Enterprise Miner could be enhanced.

SAS Enterprise Miner is more complex compared to other options.

Initial setup of SAS Enterprise Miner is challenging for first-time users.

SAS Enterprise Miner Pros review quotes

Director of Information Manager Unit at BCI with 501-1,000 employees

Aug 12, 2015

Performance is excellent.

Read full review

VA

V Shekhar Avasthy

Chief Data Scientist & Principal Consultant, StatLabs® at Facts n Data at a consultancy

Aug 21, 2017

It enables statistical modeling of data using Base SAS (another product from the same vendor) as the backbone.

Read full review

Founder and CEO with 11-50 employees

Nov 13, 2019

The setup is straightforward. Deployment doesn't take more than 30 minutes.

Read full review

Download Free Report

Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: February 2026.

884,933 professionals have used our research since 2012.

Director at EBI

Dec 13, 2019

he solution is scalable.

Read full review

reviewer1125450

Senior Business Analyst at a financial services firm with 1,001-5,000 employees

Dec 11, 2019

The solution is very good for data mining or any mining issues.

Read full review

SP

Analytics Lead at Pegasus

Dec 23, 2019

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.

Read full review

Data Analyst at a financial services firm with 201-500 employees

Jan 29, 2020

The most valuable feature is the decision tree creation.

Read full review

HS

Business Intelligence Developer at a media company with 1,001-5,000 employees

Feb 5, 2020

The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.

Read full review

reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

Jan 1, 2023

Good data management and analytics.

Read full review

reviewer1388421

Professor at a university with 1,001-5,000 employees

Jul 26, 2020

The solution is able to handle quite large amounts of data beautifully.

Read full review

Show 3 more reviews (out of 13)

SAS Enterprise Miner Cons review quotes

Director of Information Manager Unit at BCI with 501-1,000 employees

Aug 12, 2015

Price of the product

Read full review

VA

V Shekhar Avasthy

Chief Data Scientist & Principal Consultant, StatLabs® at Facts n Data at a consultancy

Aug 21, 2017

Plus it is prohibitively expensive and is not available with perpetual licensing.

Read full review

Founder and CEO with 11-50 employees

Nov 13, 2019

The user interface of the solution needs improvement. It needs to be more visual.

Read full review

Download Free Report

Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: February 2026.

884,933 professionals have used our research since 2012.

Director at EBI

Dec 13, 2019

The solution needs an easier interface for the user. The user experience isn't so easy for our clients.

Read full review

reviewer1125450

Senior Business Analyst at a financial services firm with 1,001-5,000 employees

Dec 11, 2019

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.

Read full review

SP

Analytics Lead at Pegasus

Dec 23, 2019

Virtualization could be much better.

Read full review

Data Analyst at a financial services firm with 201-500 employees

Jan 29, 2020

The ease of use can be improved. When you are new it seems a bit complex.

Read full review

HS

Business Intelligence Developer at a media company with 1,001-5,000 employees

Feb 5, 2020

The visualization of the models is not very attractive, so the graphics should be improved.

Read full review

reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

Jan 1, 2023

Technical support could be improved.

Read full review

reviewer1388421

Professor at a university with 1,001-5,000 employees

Jul 26, 2020

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.

Read full review

Show 3 more reviews (out of 13)

Product Categories

Product Categories

Data Science Platforms

Popular Comparisons

Popular Comparisons

Databricks vs SAS Enterprise Miner

KNIME Business Hub vs SAS Enterprise Miner

IBM SPSS Statistics vs SAS Enterprise Miner

Dataiku vs SAS Enterprise Miner

Alteryx vs SAS Enterprise Miner

Microsoft Azure Machine Learning Studio vs SAS Enterprise Miner

Altair RapidMiner vs SAS Enterprise Miner

IBM SPSS Modeler vs SAS Enterprise Miner

Google Cloud Datalab vs SAS Enterprise Miner

Weka vs SAS Enterprise Miner

FICO Decision Management vs SAS Enterprise Miner

Cloudera Data Science Workbench vs SAS Enterprise Miner

MathWorks Matlab vs SAS Enterprise Miner

TIBCO Data Science vs SAS Enterprise Miner

Altair Knowledge Studio vs SAS Enterprise Miner

See all alternatives

Product Categories

Product Categories

Data Science Platforms

Popular Comparisons

Popular Comparisons

Databricks vs SAS Enterprise Miner

KNIME Business Hub vs SAS Enterprise Miner

IBM SPSS Statistics vs SAS Enterprise Miner

Dataiku vs SAS Enterprise Miner

Alteryx vs SAS Enterprise Miner

Microsoft Azure Machine Learning Studio vs SAS Enterprise Miner

Altair RapidMiner vs SAS Enterprise Miner

IBM SPSS Modeler vs SAS Enterprise Miner

Google Cloud Datalab vs SAS Enterprise Miner

Weka vs SAS Enterprise Miner

FICO Decision Management vs SAS Enterprise Miner

Cloudera Data Science Workbench vs SAS Enterprise Miner

MathWorks Matlab vs SAS Enterprise Miner

TIBCO Data Science vs SAS Enterprise Miner

Altair Knowledge Studio vs SAS Enterprise Miner

See all alternatives

Related questions

17

When evaluating Data Mining, what aspect do you think is the most important to look for?

109

What is the difference between Online Analytical Processing (OLAP) and Data Mining?

11

Why is Data Mining important for companies?