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

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

"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."

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

"I was able to apply basic algorithms through just dragging and dropping."

"KNIME is easy to learn."

"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."

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

"The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine."

More KNIME Business Hub pros

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

"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."

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

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

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

"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."

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

More Weka pros

Cons

"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."

"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."

"The documentation needs a proper rework. "

"Compared to the other data tools on the market, the user interface can be improved."

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

"It could input more data acquisitions from other sources and it is difficult to combine with Python."

"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."

"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."

More KNIME Business Hub cons

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

"Not particularly user friendly."

"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 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."

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

"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."

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

More Weka cons

Pricing and Cost Advice

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

"There is a Community Edition and paid versions available."

"It's an open-source solution."

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

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

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

"KNIME offers a free version"

"For beginners, the free desktop version is very attractive, but the full server version can be more expensive. I have only used the free version and it offers a fair pricing system. I have been promoting it to others without any compensation or request from the company, simply because I am enthusiastic about it. I am not aware of the pricing for the server version, but it seems to be widely used."

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."

"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."

"The solution is free and open-source."

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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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Compared 8% of the time

Databricks vs KNIME Business Hub

Compared 5% of the time

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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

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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