SAS Enterprise Miner vs Weka comparison

SAS and Weka are both solutions in the Data Mining category. SAS is ranked #7, while Weka is ranked #4 with an average rating of 10.0. SAS holds a 6.0% mindshare in DM, compared to Weka’s 8.0% mindshare. Additionally, 93% of SAS users are willing to recommend the solution, compared to 80% of Weka users who would recommend it.

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,532 Views
506 Comparison Views

93% willing to recommend

Weka

Read 15 Weka reviews

1,574 Views
1,338 Comparison Views

80% willing to recommend

SAS Enterprise Miner

Weka

Comparison Buyer's Guide

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Executive SummaryUpdated on May 21, 2025

SAS Enterprise Miner and Weka are competing data analysis tools within the analytics domain. While SAS Enterprise Miner is noted for its advanced analytical capabilities and structured support, Weka's flexibility and cost-effectiveness make it appealing to a broader audience.

Features: SAS Enterprise Miner provides comprehensive data mining capabilities such as predictive modeling, decision tree creation, and robust analytics integration within Base SAS. It handles large data sets efficiently and allows for customization using SAS code. Weka offers diverse machine learning algorithms, ease of use without programming, and integrates easily with Java for rapid testing and flexible applications.

Room for Improvement: SAS Enterprise Miner could improve its user interface and simplify its deployment process. Enhancing the visualization capabilities would make the tool more accessible for novice users. Weka would benefit from developing enhanced visualization features, expanding its enterprise-level functionalities, and offering more structured customer service to improve user experience.

Ease of Deployment and Customer Service: SAS Enterprise Miner involves a complex deployment process and requires a significant learning curve, but it is supported by extensive customer service. Weka boasts easier installation due to its open-source nature and has community-driven support, but lacks dedicated support services, which might limit assistance available compared to SAS.

Pricing and ROI: SAS Enterprise Miner demands a substantial initial investment due to its advanced features, offering higher ROI for large-scale operations. In contrast, Weka, being open-source, presents a much lower entry cost, attracting cost-conscious users seeking flexibility without the high financial commitment.

To learn more, read our detailed SAS Enterprise Miner vs. Weka Report (Updated: April 2026).

Buyer's Guide

SAS Enterprise Miner vs. Weka

April 2026

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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

Ranking in Data Mining

7th

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Science Platforms (23rd)

Weka

Ranking in Data Mining

4th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (1st)

Mindshare comparison

As of April 2026, in the Data Mining category, the mindshare of SAS Enterprise Miner is 6.0%, up from 4.3% compared to the previous year. The mindshare of Weka is 8.0%, down from 20.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
Weka	8.0%
SAS Enterprise Miner	6.0%
Other	86.0%

Data Mining

Featured Reviews

reviewer1352853

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…

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reviewer1522338

Phd at a educational organization with 51-200 employees

Using data mining and visualization has improved my research and student learning process

In my opinion, Weka is very useful. I think perhaps a new function with a new algorithm in data mining could be developed. The algorithms currently available in Weka are very good, and all functions are very useful. I have found that I need to use Weka with R and different databases, which has been very useful for me. I am satisfied with Weka's visualization tool. Weka is very easy to use, is very complete, and provides many benefits to the end user. It has many algorithms in data mining and many algorithms to prepare data for the next process in data mining. Weka has many graphical interfaces, though it may not have as many tools for analyzing results.

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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."

"The technical support is very good."

"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 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."

"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, and the results and the ensembles are fantastic."

"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."

"Performance is excellent."

More SAS Enterprise Miner pros

"I like the machine algorithm for clustering systems. Weka has larger capabilities. There are multiple algorithms that can be used for clustering. It depends upon the user requirements. For clustering, I've used DBSCAN, whereas for supervised learning, I've used AVM and RFT."

"Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data."

"The path of machine learning in classification and clustering is useful. The GUI can get you results. No programming is needed. No need to write down your script first or send to your model or input your data."

"I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka."

"Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data."

"With clustering, if it's a yes, it's a yes, if it's a no, it's a no. It gives you a 100% level of accuracy of a model that has been trained, and that is in most cases, usually misleading. Classification is highly valuable when done as opposed to clustering."

"Weka is very easy to use, is very complete, and provides many benefits to the end user."

"Weka is a very nice tool, it needs very small requirements. If I want to implement something in Python, I need a lot of memory and space but Weka is very lightweight. Anyone can implement any kind of algorithm, and we can show the results immediately to the client using the one-page feature. The client always wants to know the story. They want the result."

More Weka pros

Cons

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

"The license is really expensive. This solution is for large corporations because not everybody can afford it."

"We really don't like the protocols the solution offers. The solution is much more complex than other options."

"The initial setup is challenging if doing it for the first time."

"Technical support could be improved."

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

"The solution is much more complex than other options."

More SAS Enterprise Miner cons

"A few people said it became slow after a while."

"Help documentation could be more user friendly."

"I'm not sure if it's reliable. It's a little difficult to get results, especially if you are on some other programs like Tableau."

"Not particularly user friendly."

"The filter section lacks some specific transformation tools. If you want to change a variable from a numeric variable to a categorical variable, you don't have a feature that can enable you to change a variable from a numeric variable to a categorical variable."

"The visualization of Weka is subpar and could improve. Machine learning and visualization do not work well together. For example, we want to know how we can we delete empty cells or how can we fill in the empty cells without cleaning the data system and putting it together."

"The filter section lacks some specific transformation tools."

"The product is good, but I would like it to work with big data. I know it has a Spark integration they could use to do analysis in clusters, but it's not so clear how to use it."

More Weka cons

Pricing and Cost Advice

"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."

"This solution is for large corporations because not everybody can afford it."

"As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if it is a commercial product."

"We use the free version now. My faculty is very small."

"Currently, I am using an open-source version so I don't know much about the price of this solution."

"The solution is free and open-source."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Construction Company

12%

Educational Organization

Manufacturing Company

Educational Organization

17%

University

10%

Comms Service Provider

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	2

Questions from the Community

Ask a question

Earn 20 points

What needs improvement with Weka?

I think Weka could improve by providing more analysis options, though I am uncertain about specific recommendations at this moment.

See all answers

What is your primary use case for Weka?

I use Weka in my process, study, and sciences for research with my students. I have experience with Weka's Experiment feature, as I use all the tools available in Weka. I utilize Weka's Experiment ...

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What advice do you have for others considering Weka?

I use the free version of Weka, and I do not know the cost of the professional version or the lite version. I can recommend Weka to other users. I give this review a rating of 10.

See all answers

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Compared 5% of the time

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DataRPM vs Weka

Compared 11% of the time

Elastic Search vs Weka

Compared 7% of the time

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Product Reports

Buyer's Guide

Data Mining

March 2026

Download SAS Enterprise Miner product report

Buyer's Guide

Weka

March 2026

Download Weka product report

Also Known As

Enterprise Miner

No data available

Overview

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

SAS

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Weka

Sample Customers

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Information Not Available

Buyer's Guide

SAS Enterprise Miner vs. Weka

April 2026

Free Report: SAS Enterprise Miner vs. Weka

Find out what your peers are saying about SAS Enterprise Miner vs. Weka and other solutions. Updated: April 2026.

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