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 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: February 2026).

Buyer's Guide

KNIME Business Hub vs. Weka

February 2026

Download the complete report

Helped 881,665 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

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

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

"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."

"The most useful features are the readily available extensions that speed up the work."

"The product is user-friendly."

"What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node."

"It is very fast to develop solutions."

"It has allowed us to easily implement advanced analytics into various processes."

More KNIME Business Hub pros

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

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

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

"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."

"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."

"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."

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

"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."

More Weka pros

Cons

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

"They should look at other vendors like Alteryx that are more user friendly and modern."

"System resource usage. Knime will occupy total system RAM size and other applications will hang."

"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."

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

"KNIME doesn't handle large datasets or a high number of records well."

"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."

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

More KNIME Business Hub cons

"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."

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

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

"Not particularly user friendly."

"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."

"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 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."

More Weka cons

Pricing and Cost Advice

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

"This is an open-source solution that is free to use."

"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 is a cost-effective solution because it’s free of cost."

"KNIME offers a free version"

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

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

"The price of KNIME is quite reasonable and the designer tool can be used free of charge."

More KNIME Business Hub pricing and cost advice

"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."

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

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

881,665 professionals have used our research since 2012.

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...

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

881,665 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.