No more typing reviews! Try our Samantha, our new voice AI agent.

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

"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 the decision tree creation."
"The solution is very good for data mining or any mining issues."
"Overall it is a good solution."
"SAS internal support is very qualified and if we have any issues, we contact them and trust that they can help."
"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."
"he solution is scalable."
"Technical support has been good, and when I called them at the start of using the product with some issues they were very helpful."
"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 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."
"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."
"Using Weka has positively impacted my studies and projects because it has saved my time firstly."
"I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka."
"If they want their task done faster, and they do not have enough coding expertise, this is definitely an excellent solution to choose from."
"But Weka helped me with this analysis in an easy way."
"Weka is a very nice tool and it helped me to solve any machine learning problem in one minute."
 

Cons

"The license is really expensive. This solution is for large corporations because not everybody can afford it."
"The user interface of the solution needs improvement. It needs to be more visual."
"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 visualization of the models is not very attractive, so the graphics should be improved."
"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 stability isn't perfect. We have issues with accuracy in some AI forecasting areas, and the accuracy is not as good as the clients need it to be."
"Technical support could be improved."
"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."
"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."
"Scalability and performance are the main aspect of improvement in Weka, since it has the main Java limitations, regarding the JVM."
"As students, if we use the largest data sets, I think Weka struggles with large data sets imported into it."
"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."
"In terms of scalability, I think Weka is not prepared to handle a large number of users."
"A few people said it became slow after a while."
"Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well."
"If there are a lot more lines of code, then we should use another language."
 

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."
"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."
"We use the free version now. My faculty is very small."
"The solution is free and open-source."
report
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
890,088 professionals have used our research since 2012.
 

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.
890,088 professionals have used our research since 2012.