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

Comparison Buyer's Guide

Download the report

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

Download the complete report

Helped 881,707 peers since 2012

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.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"The solution is good for teaching, since there is no need to code."

"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."

"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."

"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."

"It is very fast to develop solutions."

"KNIME is very easy to handle and use. Anyone can use it, and it's easy to learn."

"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."

"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."

More KNIME Business Hub pros

"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."

"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."

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

"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."

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

"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."

"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."

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

More Weka pros

Cons

"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."

"The predefined workflows could use a bit of improvement."

"We do not have much documentation in Portuguese."

"Occasionally, when using the GET object, there might be issues due to the velocity of the lines or the IT system of the commission."

"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 program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."

"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."

"KNIME's documentation is not strong."

More KNIME Business Hub cons

"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."

"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."

"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 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."

"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."

"Weka could be more stable."

More Weka cons

Pricing and Cost Advice

"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."

"KNIME Business Hub is expensive for small companies."

"It is free of cost. It is GNU licensed."

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

"KNIME offers a free version"

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

"KNIME assets are stand alone, as the solution is open source."

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

More KNIME Business Hub pricing and cost advice

"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."

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Data Mining solutions are best for your needs.

See recommendations

881,707 professionals have used our research since 2012.

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

Ask a question

Earn 20 points

Comparisons

Altair RapidMiner vs KNIME Business Hub

Compared 14% of the time

Dataiku vs KNIME Business Hub

Compared 11% 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 8% of the time

Pentaho Business Analytics vs KNIME Business Hub

Compared 4% of the time

More KNIME Business Hub Competitors

IBM SPSS Modeler vs Weka

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

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

February 2026

Free Report: KNIME Business Hub vs. Weka

Find out what your peers are saying about KNIME Business Hub vs. Weka and other solutions. Updated: February 2026.

DOWNLOAD NOW

881,707 professionals have used our research since 2012.

See our KNIME Business Hub vs. Weka report.

See our list of best Data Mining vendors.

We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.