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Weka pros and cons

Vendor: Weka
3.9 out of 5
Badge Ranked 1

Pros & Cons summary

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Prominent pros & cons

PROS

Weka saves time and requires no coding expertise, making it highly accessible for users without a programming background.
High speed and exceptional performance make Weka a reliable tool for file system tasks.
Weka offers a lightweight solution with minimal system requirements, simplifying the process of implementing machine learning algorithms.
Numerous algorithms for clustering and supervised learning tasks are available, enhancing user flexibility and capability.
Weka facilitates easy data analysis and visualization, streamlining complex machine learning processes for users.

CONS

Weka struggles with large data sets and becomes slow over time.
Technical support and documentation for Weka are lacking.
Weka lacks capabilities for deep learning algorithms, leading users to opt for other programming languages like Python.
Weka is not horizontally scalable, especially with large data sets.
The filter section in Weka lacks tools for transforming numeric variables into categorical ones.
 

Weka Pros review quotes

JK
Staff Infrastructure Engineer at a manufacturing company with 201-500 employees
Aug 16, 2026
The best features Weka offers are high speed, exceptional performance, and reliability, and it is probably the best file system I have ever used.
SC
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.
AwaisAnwar - PeerSpot reviewer
Treasury Management in Finance Department at National University of Pakistan
Dec 27, 2023
It is a stable product.
Learn what your peers think about Weka. Get advice and tips from experienced pros sharing their opinions. Updated: August 2026.
913,806 professionals have used our research since 2012.
XS
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.
AV
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.
reviewer1910160 - PeerSpot reviewer
Student at a university with 1,001-5,000 employees
Jul 19, 2022
It doesn’t cost anything to use the product.
AV
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.
Oleksandr Ochkasov - PeerSpot reviewer
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.
KR
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.
CR
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.
 

Weka Cons review quotes

JK
Staff Infrastructure Engineer at a manufacturing company with 201-500 employees
Aug 16, 2026
Documentation tends to lag and is sometimes inaccurate, but we have found that looking at the most recent version tends to show more accurate documents.
SC
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.
AwaisAnwar - PeerSpot reviewer
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.
Learn what your peers think about Weka. Get advice and tips from experienced pros sharing their opinions. Updated: August 2026.
913,806 professionals have used our research since 2012.
XS
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.
AV
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.
reviewer1910160 - PeerSpot reviewer
Student at a university with 1,001-5,000 employees
Jul 19, 2022
A few people said it became slow after a while.
AV
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.
Oleksandr Ochkasov - PeerSpot reviewer
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.
KR
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.
CR
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.