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. SAS holds a 4.8% mindshare in DM, compared to Weka’s 8.8% mindshare. Additionally, 93% of SAS users are willing to recommend the solution, compared to 78% of Weka users who would recommend it.

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,291 Views
400 Comparison Views

93% willing to recommend

Weka

Read 15 Weka reviews

1,553 Views
1,336 Comparison Views

78% 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: March 2026).

Buyer's Guide

SAS Enterprise Miner vs. Weka

March 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 (24th)

Weka

Ranking in Data Mining

4th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (1st)

Mindshare comparison

As of March 2026, in the Data Mining category, the mindshare of SAS Enterprise Miner is 4.8%, up from 4.3% compared to the previous year. The mindshare of Weka is 8.8%, down from 21.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
Weka	8.8%
SAS Enterprise Miner	4.8%
Other	86.4%

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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AwaisAnwar

Treasury Management in Finance Department at National University of Pakistan

Open source, good for basic data mining use cases except for the visualization results

I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results. Moreover, a new user interface would be great, especially for beginners. Something that guides them through the available tools and helps them achieve their goals. I haven't seen anything like that myself, though maybe it's there and I missed it.

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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

"Good data management and analytics."

"he solution is scalable."

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

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

"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."

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

"I like the way the product visually shows the data pipeline."

More SAS Enterprise Miner pros

"Weka eliminates the need for coding, allowing you to easily set parameters and complete the majority of the machine learning task with just a few clicks."

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

"The interface is very good, and the algorithms are the very best."

"Working with complicated algorithms in huge datasets is really easy in Weka."

"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."

"There are many options where you can fill all of the data pre-processing options that you can implement when you're importing the data. You can also normalize the data and standardize it in an easier way."

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

"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."

More Weka pros

Cons

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

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

"Technical support could be improved."

"The product must provide better integration with cloud-native technologies."

"Virtualization could be much better."

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

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

More SAS Enterprise Miner cons

"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."

"If there are a lot more lines of code, then we should use another language."

"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."

"Weka could be more stable."

"I believe is there are a few newer algorithms that are not present in the Weka libraries. Whereas, for example, if I want to have a solution that involves deep learning, so I don't think that Weka has that capability. So in that case I have to use Python for ... predict any algorithms based on deep learning."

"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."

"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."

"If you have one missing value in your dataset and this missing value belongs to a specific attribute and the attribute is a numeric attribute and there is only one missing data, whenever you import this data, the problem is that Weka cannot understand that this is a numeric field. It converts everything into a string, and there is no way to convert the string into numerical math. It's really very complicated."

More Weka cons

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."

"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."

"The solution is free and open-source."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Educational Organization

11%

Manufacturing Company

10%

Government

Educational Organization

17%

University

13%

Computer Software Company

Comms Service Provider

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

Comparisons

KNIME Business Hub vs SAS Enterprise Miner

Compared 14% of the time

Azure Data Lake Analytics vs SAS Enterprise Miner

Compared 10% of the time

Altair RapidMiner vs SAS Enterprise Miner

Compared 7% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 6% of the time

TIBCO Data Science vs SAS Enterprise Miner

Compared 4% of the time

More SAS Enterprise Miner Competitors

KNIME Business Hub vs Weka

Compared 30% of the time

IBM SPSS Statistics vs Weka

Compared 12% of the time

IBM SPSS Modeler vs Weka

Compared 11% of the time

DataRPM vs Weka

Compared 10% of the time

Oracle Advanced Analytics vs Weka

Compared 5% of the time

More Weka Competitors

Product Reports

Buyer's Guide

Data Mining

February 2026

Download SAS Enterprise Miner product report

Buyer's Guide

Weka

February 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

March 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: March 2026.

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