SAS Enterprise Miner vs Weka comparison

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SAS Enterprise Miner

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Executive Summary

We performed a comparison between SAS Enterprise Miner and Weka based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed SAS Enterprise Miner vs. Weka Report (Updated: April 2025).

SAS Enterprise Miner vs. Weka

April 2025

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Helped 848,716 peers since 2012

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 (18th)

Weka

Ranking in Data Mining

2nd

Average Rating

7.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (4th)

Mindshare comparison

As of April 2025, in the Data Mining category, the mindshare of SAS Enterprise Miner is 4.3%, down from 4.7% compared to the previous year. The mindshare of Weka is 20.3%, down from 20.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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

"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."

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

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

"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."

"Good data management and analytics."

"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 technical support is very good."

More SAS Enterprise Miner pros

"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."

"It is a stable product."

"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."

"In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low."

"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."

"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."

"It doesn’t cost anything to use the product."

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

More Weka pros

Cons

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

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

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

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

"Virtualization could be much better."

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

"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."

More SAS Enterprise Miner cons

"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."

"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."

"Weka could be more stable."

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

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

"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."

"Not particularly user friendly."

"In terms of scalability, I think Weka is not prepared to handle a large number of users."

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."

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

"The solution must improve its licensing models."

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

"The solution is free and open-source."

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

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

University

13%

Educational Organization

Manufacturing Company

University

19%

Educational Organization

15%

Computer Software Company

11%

Financial Services Firm

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 Weka?

It is a stable product.

What is your experience regarding pricing and costs for Weka?

Weka is free and open-source software. That is why I used it over KNIME.

What needs improvement with Weka?

SAS Visual Analytics vs SAS Enterprise Miner

Comparisons

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IBM SPSS Modeler vs SAS Enterprise Miner

Compared 24% of the time

KNIME vs SAS Enterprise Miner

Compared 24% of the time

Altair RapidMiner vs SAS Enterprise Miner

Compared 19% of the time

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KNIME vs Weka

Compared 60% of the time

IBM SPSS Statistics vs Weka

Compared 17% of the time

IBM SPSS Modeler vs Weka

Compared 7% of the time

SAS Analytics vs Weka

Compared 5% of the time

Splunk User Behavior Analytics vs Weka

Compared 5% of the time

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Product Reports

Download SAS Enterprise Miner product report

Data Mining

April 2025

Download Weka product report

March 2025

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.

Sample Customers

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

Information Not Available