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SAS Enterprise Miner vs Weka comparison

 

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 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 (23rd)
Weka
Ranking in Data Mining
4th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
16
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
ProductMindshare (%)
Weka8.0%
SAS Enterprise Miner6.0%
Other86.0%
Data Mining
 

Featured Reviews

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…
SM
Student at Rit
Data mining projects have become faster and visualization now guides our pattern discovery
Weka can be improved in some areas. As a one-year user, I can share my experiences. I have tried installing other packages into Weka using the inbuilt package manager or adding modern algorithms that I wish to apply to my data sets or data processing. I think Weka needs to improve in that and also in integrating Python into Weka, which would help users much more. I chose eight out of ten because we need improvements in Weka, such as installing inbuilt packages. Weka uses skips such as N+2 or N+4 and eight-node, which makes sense basically, but I think it should improve in the package attribute, such as configuring Python easily and adding modern algorithms into Weka more easily.

Quotes from Members

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

Pros

"The solution is able to handle quite large amounts of data beautifully."
"The solution is very good for data mining or any mining issues."
"The solution is very good for data mining or any mining issues."
"The most valuable feature is the decision tree creation."
"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."
"he solution is scalable."
"Overall it is a good solution."
"The technical support is very good."
"I think Weka is definitely a good investment, that is why we still use it."
"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."
"If they want their task done faster, and they do not have enough coding expertise, this is definitely an excellent solution to choose from."
"Weka is very easy to use, is very complete, and provides many benefits to the end user."
"My main recommendation is that if you want artificial intelligence, or machine learning, go for an easy and quick tool like Weka, otherwise, any language will have a more expensive entry cost."
"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."
"Weka is a very nice tool and it helped me to solve any machine learning problem in one minute."
"Weka is just much better for the classification path and clustering path; if you are going with some predictions that a procedure recalls, it's better than any other tool like R Programming and Python."
 

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 solution is quite expensive. The pricing is too high."
"The initial setup is challenging if doing it for the first time."
"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."
"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."
"Price of the product"
"Weka could be more stable."
"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."
"Weka is not horizontally scalable. If I had to run a large dataset over Weka I would have to have a very large usage."
"Help documentation could be more user friendly."
"The filter section lacks some specific transformation tools."
"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."
"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."
"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."
 

Pricing and Cost Advice

"This solution is for large corporations because not everybody can afford it."
"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."
"We use the free version now. My faculty is very small."
"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."
"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
18%
Construction Company
12%
Educational Organization
9%
Manufacturing Company
8%
Educational Organization
17%
University
14%
Comms Service Provider
8%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise7
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise1
Large Enterprise3
 

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.
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 ...
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.
 

Also Known As

Enterprise Miner
No data available
 

Overview

 

Sample Customers

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Information Not Available
Find out what your peers are saying about SAS Enterprise Miner vs. Weka and other solutions. Updated: April 2026.
890,071 professionals have used our research since 2012.