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Weka pros and cons

Vendor: Weka
3.9 out of 5
Badge Ranked 1
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Pros & Cons summary

Weka is cost-effective and free to use, supporting various machine learning algorithms suited for clustering and supervised learning. It is lightweight, simplifying data preprocessing and allowing users without coding skills to perform quick analyses. However, Weka can be slow with many users, lacks newer deep-learning algorithms, and encounters data import issues due to Java limitations. Its technical support is lacking, and scalability is restricted by the JVM.

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Prominent pros & cons

PROS

Weka is cost-effective and free to use, making it accessible for users without advanced programming skills.
It supports a wide range of machine learning algorithms, including clustering and supervised learning, which can be tailored to user requirements.
Weka is lightweight and requires minimal computational resources, unlike other tools like Python, which demand more memory and space.
It simplifies data preprocessing tasks such as normalization and standardization, making data management easier.
Users can efficiently conduct complex analysis through Weka without the need for coding, enabling quick machine learning task execution with just a few clicks.

CONS

Some users reported that Weka became slow after a while and is not well-prepared to handle a large number of users.
Technical support for Weka is not perceived as very good.
Weka lacks newer algorithms, especially for deep learning, which forces users to rely on other languages like Python.
Issues with data import exist, such as converting numeric fields to strings when there is a missing value, with no easy way to revert them.
Weka's scalability and performance are limited by Java limitations, particularly regarding the JVM.
 

Weka Pros review quotes

SC
Sanjay Charitesh Makam
Student at Rochester Institute of Technology
Apr 18, 2026
Using Weka has positively impacted my studies and projects because it has saved my time firstly.
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AwaisAnwar - PeerSpot reviewer
AwaisAnwar
Treasury Management in Finance Department at National University of Pakistan
Dec 27, 2023
It is a stable product.
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XS
Xavier Suriol
Manager at XS AMSAFIS DATASETS, S.L.
Mar 8, 2023
In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low.
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Buyer's Guide
Weka
April 2026
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AV
Abuto Vincent
Weka Specialist at freelancer
Jan 18, 2023
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.
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reviewer1910160 - PeerSpot reviewer
reviewer1910160
Student at a university with 1,001-5,000 employees
Jul 19, 2022
It doesn’t cost anything to use the product.
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AV
Abuto Vincent
Weka Specialist at freelancer
Nov 12, 2020
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.
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Oleksandr Ochkasov - PeerSpot reviewer
Oleksandr Ochkasov
Consultant for the implementation of maintenance management and repair of equipment at IT-Enterprise
Aug 15, 2022
Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data.
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KR
Kh.Ehsanur Rahman
Freelance Data Scientist at Freelancer
May 15, 2022
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.
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CR
ChristianRivera
Freelance Engineer at Autónomo
Nov 22, 2020
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.
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XS
Xavier Suriol
Manager at XS AMSAFIS DATASETS, S.L.
Nov 18, 2020
I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka.
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Weka Cons review quotes

SC
Sanjay Charitesh Makam
Student at Rochester Institute of Technology
Apr 18, 2026
As students, if we use the largest data sets, I think Weka struggles with large data sets imported into it.
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AwaisAnwar - PeerSpot reviewer
AwaisAnwar
Treasury Management in Finance Department at National University of Pakistan
Dec 27, 2023
While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results.
Read full review
XS
Xavier Suriol
Manager at XS AMSAFIS DATASETS, S.L.
Mar 8, 2023
In terms of scalability, I think Weka is not prepared to handle a large number of users.
Read full review
Buyer's Guide
Weka
April 2026
Free Report: Weka Reviews and More
Learn what your peers think about Weka. Get advice and tips from experienced pros sharing their opinions. Updated: April 2026.
DOWNLOAD NOW
893,221 professionals have used our research since 2012.
AV
Abuto Vincent
Weka Specialist at freelancer
Jan 18, 2023
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.
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reviewer1910160 - PeerSpot reviewer
reviewer1910160
Student at a university with 1,001-5,000 employees
Jul 19, 2022
A few people said it became slow after a while.
Read full review
AV
Abuto Vincent
Weka Specialist at freelancer
Nov 12, 2020
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.
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Oleksandr Ochkasov - PeerSpot reviewer
Oleksandr Ochkasov
Consultant for the implementation of maintenance management and repair of equipment at IT-Enterprise
Aug 15, 2022
Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science.
Read full review
KR
Kh.Ehsanur Rahman
Freelance Data Scientist at Freelancer
May 15, 2022
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.
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CR
ChristianRivera
Freelance Engineer at Autónomo
Nov 22, 2020
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.
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XS
Xavier Suriol
Manager at XS AMSAFIS DATASETS, S.L.
Nov 18, 2020
Not particularly user friendly.
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Show 5 more reviews (out of 15)

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