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KNIME vs Weka comparison

 

Comparison Buyer's Guide

Executive Summary

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

KNIME
Ranking in Data Mining
1st
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
59
Ranking in other categories
Data Science Platforms (2nd)
Weka
Ranking in Data Mining
2nd
Average Rating
7.6
Number of Reviews
14
Ranking in other categories
Anomaly Detection Tools (4th)
 

Mindshare comparison

As of April 2025, in the Data Mining category, the mindshare of KNIME is 25.7%, down from 27.4% 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

Laurence Moseley - PeerSpot reviewer
Has a drag-and-drop interface and AI capabilities
It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data. Next, you can clean the data by handling missing values, selecting specific columns you want to analyze, and then proceeding with your analysis, such as regression or correlation. KNIME has over 4,500 nodes available for download. In addition, KNIME offers various extensions. For instance, the text processing extension allows you to process text data efficiently. It's more powerful than other tools like NVivo and Palantir. KNIME also has AI capabilities. If you're unsure about the next step, the AI assistant can suggest the most frequently used nodes based on your previous work. Another valuable feature is the integration with Python. If you need to perform a task that requires Python, you can simply add a Python node, write the necessary code,
AwaisAnwar - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The product is open-source and therefore free to use."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"I've tried to utilize KNIME to the fullest extent possible to replace Excel."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."
"I was able to apply basic algorithms through just dragging and dropping."
"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."
"In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low."
"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."
"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."
"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."
"It is a stable product."
"It doesn’t cost anything to use the product."
"Working with complicated algorithms in huge datasets is really easy in Weka."
 

Cons

"The predefined workflows could use a bit of improvement."
"It could be easier to use."
"For graphics, the interface is a little confusing."
"I've had some problems integrating KNIME with other solutions."
"It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved."
"They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."
"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."
"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."
"If there are a lot more lines of code, then we should use another language."
"Weka could be more stable."
"In terms of scalability, I think Weka is not prepared to handle a large number of users."
"Not particularly user friendly."
"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."
 

Pricing and Cost Advice

"KNIME offers a free version"
"It is expensive to procure the license."
"KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."
"KNIME assets are stand alone, as the solution is open source."
"At this time, I am using the free version of Knime."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"KNIME is free and open source."
"The price for Knime is okay."
"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."
"We use the free version now. My faculty is very small."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
9%
University
7%
University
19%
Educational Organization
15%
Computer Software Company
11%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
What is your experience regarding pricing and costs for KNIME?
I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.
What needs improvement with KNIME?
For graphics, the interface is a little confusing. So, this is a point that could be improved.
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?
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...
 

Comparisons

 

Also Known As

KNIME Analytics Platform
No data available
 

Overview

 

Sample Customers

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Information Not Available
Find out what your peers are saying about KNIME vs. Weka and other solutions. Updated: March 2025.
844,944 professionals have used our research since 2012.