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 13.5% mindshare in DM, compared to Weka’s 9.3% 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

8,226 Views
1,234 Comparison Views

94% willing to recommend

Weka

Read 14 Weka reviews

1,550 Views
1,364 Comparison Views

78% willing to recommend

KNIME Business Hub

Weka

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Executive SummaryUpdated on Feb 8, 2026

KNIME Business Hub and Weka compete in the data analytics solutions category. KNIME appears to have the upper hand due to superior user satisfaction with pricing and support, while Weka stands out for its advanced capabilities and algorithm diversity.

Features: KNIME Business Hub offers visual workflow creation, seamless integration with R and Python, and support for numerous algorithms, making it ideal for easy ETL processes with strong community backing. Weka provides a user-friendly data mining platform that excels with its rapid testing capabilities and offers a diverse range of machine learning algorithms for varied applications.

Room for Improvement: KNIME could enhance its data visualization improvements, documentation quality, and manage large datasets more efficiently, also providing more straightforward examples for better learning experience. Weka's areas for growth include better handling of missing data, stronger deep learning framework integration, and improved pre-processing capabilities. Both can benefit from upgraded visualization features.

Ease of Deployment and Customer Service: KNIME Business Hub allows public and private cloud deployment, coupled with strong community and responsive customer support, though it could benefit from improved documentation. Conversely, Weka offers straightforward deployment but relies heavily on community support, which limits its customer service capabilities.

Pricing and ROI: KNIME provides a cost-friendly open-source desktop version with enterprise-level scalability, appealing to budget-conscious users with structured pricing models. Weka, also available for free and open-source, attracts users seeking affordable solutions but lacks KNIME's enterprise integrations, both delivering significant productivity gains and ROI potential.

To learn more, read our detailed KNIME Business Hub vs. Weka Report (Updated: February 2026).

Buyer's Guide

KNIME Business Hub vs. Weka

February 2026

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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 February 2026, in the Data Mining category, the mindshare of KNIME Business Hub is 13.5%, down from 24.9% compared to the previous year. The mindshare of Weka is 9.3%, down from 21.2% 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	13.5%
Weka	9.3%
Other	77.2%

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

"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."

"The tool's analytic capabilities are good."

"The most valuable feature is the data wrangling, which is what I mainly use it for."

"Overall KNIME serves its purpose and does a good job."

"It is very fast to develop solutions."

"Clear view of the data at every step of ETL process enables changing the flow as needed."

"I've never had any problems with stability."

"From a user-friendliness perspective, it's a great tool."

More KNIME Business Hub pros

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

"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."

"It doesn’t cost anything to use the product."

"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."

"In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low."

"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."

"Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data."

More Weka pros

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."

"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."

"Sometimes, we needed more space to handle larger operations, especially since our machines had limited space and memory due to Kubernetes clusters."

"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."

"One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well."

"The documentation is lacking and it could be better."

"The pricing needs improvement."

"The license is quite expensive for us."

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."

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

"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."

"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."

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

"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."

"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."

More Weka cons

Pricing and Cost Advice

"KNIME Business Hub is expensive for small companies."

"KNIME is a cheap product. I currently use KNIME's open-source version."

"KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."

"KNIME is free and open source."

"They have different versions, but I am using the open-source one."

"This is a free open-source solution."

"At this time, I am using the free version of Knime."

"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."

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."

"The solution is free and open-source."

"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

12%

University

Manufacturing Company

Educational Organization

16%

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...

See all answers

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Comparisons

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Compared 14% of the time

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Compared 11% of the time

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Compared 9% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 8% of the time

Pentaho Business Analytics vs KNIME Business Hub

Compared 4% of the time

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Compared 12% of the time

IBM SPSS Statistics vs Weka

Compared 11% of the time

Elastic Search vs Weka

Compared 8% of the time

DataRPM vs Weka

Compared 8% of the time

SAS Enterprise Miner vs Weka

Compared 7% of the time

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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

February 2026

Free Report: KNIME Business Hub vs. Weka

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