KNIME Business Hub vs Weka comparison

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KNIME Business Hub

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Executive SummaryUpdated on Jul 27, 2025

KNIME Business Hub and Weka are both open-source platforms competing in the data analysis and machine learning category. KNIME appears to have the upper hand in enterprise-level analytics due to its extensive integration capabilities and wider feature set.

Features: KNIME offers extensive data analytics capabilities with a strong emphasis on big data compatibility, making it excellent for complex data science tasks. Its integration with popular tools like R and Python provides a versatile environment for analytics. A large library of algorithms further strengthens its data preparation and analysis features. Weka is notable for its simplicity and effectiveness in rapid testing. It features a diverse range of algorithms suitable for quick learning and basic data mining operations, catering well to small to medium-sized projects.

Room for Improvement: KNIME faces challenges with processing very large volumes of data, sometimes causing system lags. It also requires improvements in documentation and data visualization for enhanced user experience. Weka struggles with scalability issues when handling larger datasets and would benefit from better user guidance and more sophisticated visual analytics capabilities.

Ease of Deployment and Customer Service: KNIME offers flexible deployment options, including on-premises and public cloud, which is beneficial for larger enterprises. Its robust community forum provides timely support despite fewer formal channels. Weka, primarily on-premises, provides straightforward installation and support, although it lacks the extensive community resources present for KNIME.

Pricing and ROI: KNIME is open-source and free at the desktop level, presenting an advantage for teams requiring advanced features through server licensing, which offers excellent ROI. Its server edition extends beyond basic analytics, making it suitable for enterprise use. Weka, being fully open-source with no licensing costs, is appealing to those seeking cost-effective solutions without enterprise-level needs, particularly beneficial for educational and small-scale environments.

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

KNIME Business Hub vs. Weka

September 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

3rd

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (4th)

Mindshare comparison

As of September 2025, in the Data Mining category, the mindshare of KNIME Business Hub is 22.1%, down from 27.4% compared to the previous year. The mindshare of Weka is 15.0%, down from 21.4% 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	22.1%
Weka	15.0%
Other	62.9%

Data Mining

Featured Reviews

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

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,

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AwaisAnwar

Treasury Management in Finance Department at National University of Pakistan

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.

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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

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

"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."

"This solution is easy to use and especially good at data preparation and wrapping."

"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."

"The product is open-source and therefore free to use."

"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."

"It is possible to configure the system to effectively manage memory and space requirements."

"We have found KNIME valuable when it comes to its visualization."

More KNIME Business Hub pros

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

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

"It is a stable product."

"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."

"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

"The documentation needs a proper rework. "

"From the point of view of the interface, they can do a little bit better."

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

"Though I can use KNIME in a 64-bit platform in the lab, it's missing some features. For example, from my laptop, I can use the image reader feature of KNIME. However, in the lab, the image reader node is missing."

"The license is quite expensive for us."

"KNIME needs to provide more documentation and training materials, including webinars or online seminars."

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

"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."

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."

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

"Weka could be more stable."

"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."

More Weka cons

Pricing and Cost Advice

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

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

"KNIME is free and open source."

"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."

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

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

"We're using the free academic license just locally. I went for KNIME because they have a free academic license."

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

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

11%

Manufacturing Company

10%

University

Computer Software Company

University

18%

Educational Organization

18%

Computer Software Company

10%

Financial Services Firm

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.

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?

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...

What do you like most about Weka?

It is a stable product.

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?

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Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 8% of the time

Databricks vs KNIME Business Hub

Compared 5% of the time

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IBM SPSS Statistics vs Weka

Compared 13% of the time

IBM SPSS Modeler vs Weka

Compared 9% of the time

SAS Analytics vs Weka

Compared 5% of the time

Oracle Advanced Analytics vs Weka

Compared 4% of the time

Elastic Search vs Weka

Compared 4% of the time

More Weka Competitors

Product Reports

Download KNIME Business Hub product report

KNIME Business Hub

August 2025

Download Weka product report

August 2025

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.

Sample Customers

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

Information Not Available