KNIME Business Hub vs Weka comparison

Knime and Weka are both solutions in the Data Mining category. Knime is ranked #1 with an average rating of 8.0, while Weka is ranked #4. Knime holds a 14.6% mindshare in DM, compared to Weka’s 9.7% mindshare. Additionally, 94% of Knime users are willing to recommend the solution, compared to 78% of Weka users who would recommend it.

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,180 Views
1,227 Comparison Views

94% willing to recommend

Weka

Read 14 Weka reviews

1,528 Views
1,360 Comparison Views

78% willing to recommend

KNIME Business Hub

Weka

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Executive SummaryUpdated on Nov 2, 2025

KNIME Business Hub and Weka are two strong contenders in the data science platform arena. KNIME tends to have the upper hand due to its extensive integration capabilities and productivity enhancements in complex workflows.

Features: KNIME stands out with its integration with Python and R, comprehensive ETL functionalities, and a visual workflow interface that requires minimal coding. It supports a wide variety of data file types and allows complex data processing. Weka is known for rapid testing and application of machine learning algorithms, benefiting from a broad algorithm library and ease of use, especially within educational contexts.

Room for Improvement: KNIME can lag with large datasets and would benefit from better data visualization tools and documentation. Users desire enhanced API integrations and data handling. Weka needs advanced visualization tools and support for modern algorithms like deep learning. Its data pre-processing capabilities could be streamlined to handle intricate scenarios better.

Ease of Deployment and Customer Service: KNIME Business Hub is flexible with both on-premises and cloud deployment options, backed by strong community support and forums. However, some find the Java-centric nature limiting. Weka offers mainly on-premises deployment but lacks the robust support communities found with KNIME, impacting user assistance.

Pricing and ROI: KNIME offers a free desktop version, with competitively priced server features for enterprises, boosting ROI through productivity and streamlined processes. On the other hand, Weka's open-source model provides significant value for those on a budget, making it an attractive option for educational use due to the lack of cost.

To learn more, read our detailed KNIME Business Hub vs. Weka Report (Updated: December 2025).

Buyer's Guide

KNIME Business Hub vs. Weka

December 2025

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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 Business Hub

Ranking in Data Mining

1st

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Science Platforms (3rd)

Weka

Ranking in Data Mining

4th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (2nd)

Mindshare comparison

As of January 2026, in the Data Mining category, the mindshare of KNIME Business Hub is 14.6%, down from 25.5% compared to the previous year. The mindshare of Weka is 9.7%, down from 21.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
KNIME Business Hub	14.6%
Weka	9.7%
Other	75.7%

Data Mining

Featured Reviews

DanieleGentile

BI Analyst at a photography company with 11-50 employees

Enables fast project development with efficient workflow modifications and promising features while offering modularity and reusability

KNIME is simple and allows for fast project development due to its reusability. I appreciate the ability to make improvements or modifications in existing workflows. Although I have not yet used the forecasting and customer profiling features, I find them promising. Another effective feature is the ability to use GET request objects to retrieve data from websites or APIs. This makes iterative steps easy to manage. It is more elastic and modern compared to SAP Data Services, allowing node creation and regrouping components or steps for reuse in different projects.

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Xavier Suriol

Manager at XS AMSAFIS DATASETS, S.L.

A good solution offering a range of tools but is limited by its user-handling capacities

In a new machine learning job, if the method is a bit foreign to me, if I have to do it in R, it could be a tedious task. First, I need to identify the libraries required for the new methodology. This can involve identifying two, three, or even four libraries. Then, I need to read their manuals thoroughly. This is time-consuming. In Weka, as all machine learning tools are on my desktop, I easily find out the method. As a freelancer, people send me datasets, and I work on the statistics at home before providing the solution. When a solution needs to be implemented on a server, server programmers install it on the server. This is similar to Power BI, where I prepare files on my desktop, and someone else uploads them to the server for others to access. I think I cannot send a Weka solution to a server programmer. In Weka, anyone can run the program without being a programmer, which is a good feature since the entry cost is very low.

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Quotes from Members

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

Pros

"It's a huge tool with machine learning features as well."

"It's a coding-less opportunity to use AI. This is the major value for me."

"The solution is very easy to use"

"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."

"This open-source product can compete with category leaders in ELT software."

"It's a very powerful and simple tool to use."

"It offers a node-based data integration and processing system connected through a user-friendly drag-and-drop interface. This makes it an excellent choice for data analytics and engineering tasks."

"KNIME is quite scalable, which is one of the most important features that we found."

More KNIME Business Hub pros

"I like the machine algorithm for clustering systems. Weka has larger capabilities. There are multiple algorithms that can be used for clustering. It depends upon the user requirements. For clustering, I've used DBSCAN, whereas for supervised learning, I've used AVM and RFT."

"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."

"I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka."

"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."

"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."

"Working with complicated algorithms in huge datasets is really easy in Weka."

"The interface is very good, and the algorithms are the very best."

More Weka pros

Cons

"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."

"I wish there were more video training resources for KNIME. The current videos are very short, and most learning is text-based. Longer training sessions would be helpful, especially for complex flowchart use cases. Webinars focusing on starting projects and analyzing data would also be beneficial."

"We do not have much documentation in Portuguese."

"If they had a more structured training model it would be very helpful."

"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."

"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."

"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."

"The current UI is primarily in English. Analyzing data in local languages might present challenges or issues."

More KNIME Business Hub cons

"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."

"A few people said it became slow after a while."

"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."

"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."

"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."

"Weka could be more stable."

"Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well."

"In terms of scalability, I think Weka is not prepared to handle a large number of users."

More Weka cons

Pricing and Cost Advice

"KNIME Business Hub is expensive for small companies."

"It is expensive to procure the license."

"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."

"With KNIME, you can use the desktop version free of charge as much as you like. I've yet to hit its limits. If I did, I'd have to go to the server version, and for that you have to pay. Fortunately, I don't have to at the moment."

"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."

"KNIME is an open-source tool, so it's free to use."

"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."

"KNIME offers a free version"

More KNIME Business Hub pricing and cost advice

"Currently, I am using an open-source version so I don't know much about the price of this solution."

"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."

"The solution is free and open-source."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

University

Manufacturing Company

Educational Organization

15%

University

15%

Computer Software Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	16
Large Enterprise	29

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	2

Questions from the Community

What do you like most about KNIME?

Since KNIME is a no-code platform, it is easy to work with.

See all answers

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.

See all answers

What needs improvement with KNIME?

I have seen the potential to interact with Python, which is currently a bit limited. I am interested in the newer version, 5.4, when it becomes available. The machine learning and profileration asp...

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Comparisons

Altair RapidMiner vs KNIME Business Hub

Compared 17% of the time

Dataiku vs KNIME Business Hub

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 9% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 9% of the time

Pentaho Business Analytics vs KNIME Business Hub

Compared 4% of the time

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IBM SPSS Statistics vs Weka

Compared 12% of the time

IBM SPSS Modeler vs Weka

Compared 11% of the time

Elastic Search vs Weka

Compared 7% of the time

SAS Enterprise Miner vs Weka

Compared 6% of the time

DataRPM vs Weka

Compared 6% of the time

More Weka Competitors

Product Reports

Buyer's Guide

KNIME Business Hub

January 2026

Download KNIME Business Hub product report

Buyer's Guide

Weka

January 2026

Download Weka product report

Also Known As

KNIME Analytics Platform

No data available

Overview

KNIME Business Hub offers a no-code interface for data preparation and integration, making analytics and machine learning accessible. Its extensive node library allows seamless workflow execution across various data tasks.

KNIME Business Hub stands out for its user-friendly, no-code platform, promoting efficient data preparation and integration, even with Python and R. Its node library covers extensive data processes from ETL to machine learning. Community support aids users, enhancing productivity with minimal coding. However, its visualization, documentation, and interface require refinement. Larger data tasks face performance hurdles, demanding enhanced cloud connectivity and library expansions for deep learning efficiencies.

What are the most important features of KNIME Business Hub?

No-Code Interface: Simplifies data preparation without coding expertise.
Node Library: Supports diverse data tasks, including ETL and machine learning.
Python and R Integration: Seamlessly connects with popular programming languages.
Automation Capabilities: Enhances workflow productivity.
Visual Workflow Tools: Offers efficient data handling with visual aids.

What benefits and ROI can users expect from KNIME Business Hub?

Increased Productivity: Streamlined data tasks reduce development time.
Community Support: Access to extensive resources and user assistance.
Cost-Effective: Robust performance even on standard hardware.
Accessible Learning Curve: Simplicity allows easy access for educational and professional use.
Enhanced Prototyping: Ideal for decision model testing.

KNIME Business Hub finds application in data transformation, cleansing, and multi-source integration for analytics and reporting. Companies utilize it for predictive modeling, clustering, classification, machine learning, and automating workflows. Its coding-free approach suits educational and professional settings, assisting industries in data wrangling, ETLs, and prototyping decision models.

Knime

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Weka

Sample Customers

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG

Information Not Available

Buyer's Guide

KNIME Business Hub vs. Weka

December 2025

Free Report: KNIME Business Hub vs. Weka

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