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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 hardest part is keeping a tidy workspace because of the many nodes involved. When teaching, it would be helpful if there was more emphasis on how to group nodes effectively. For example, turning frequently used nodes into a single component can simplify things."
"Easy to use, stable, and powerful."
"It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea."
"The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine."
"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."
"KNIME is more intuitive and easier to use, which is the principal advantage."
"I've never had any problems with stability."
"The solution allows for sharing model designs and model operations with other data analysts."
"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's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data."
"It doesn’t cost anything to use the product."
"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."
"In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low."
"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."
"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 interface is very good, and the algorithms are the very best."
 

Cons

"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"I've had some problems integrating KNIME with other solutions."
"It could be easier to use."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."
"KNIME is not good at visualization."
"There are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger."
"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."
"Not particularly user friendly."
"Weka could be more stable."
"I believe is there are a few newer algorithms that are not present in the Weka libraries. Whereas, for example, if I want to have a solution that involves deep learning, so I don't think that Weka has that capability. So in that case I have to use Python for ... predict any algorithms based on deep learning."
"Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well."
"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."
"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."
"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."
"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 is a cheap product. I currently use KNIME's open-source version."
"There is a Community Edition and paid versions available."
"It is expensive to procure the license."
"I use the open-source version."
"It is free of cost. It is GNU licensed."
"KNIME is a cost-effective solution because it’s free of cost."
"I use the tool's free version."
"KNIME assets are stand alone, as the solution is open source."
"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."
"Currently, I am using an open-source version so I don't know much about the price of this solution."
"The solution is free and open-source."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
9%
University
8%
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
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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.