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: July 2025).

KNIME Business Hub vs. Weka

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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 (2nd)

Weka

Ranking in Data Mining

2nd

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (4th)

Mindshare comparison

As of July 2025, in the Data Mining category, the mindshare of KNIME Business Hub is 24.6%, down from 27.0% compared to the previous year. The mindshare of Weka is 17.7%, down from 21.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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

"KNIME is more intuitive and easier to use, which is the principal advantage."

"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."

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

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

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

"It's a huge tool with machine learning features as well."

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

"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."

More KNIME Business Hub pros

"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."

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

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

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

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

"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."

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

More Weka pros

Cons

"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."

"In my environment, I need to access a lot of servers with different characteristics and access methods. Some of my servers have to be accessed using proxy which is not supported by KNIME, so I still need to create the middleware to supply the source of my KNIME configurations."

"It could be easier to use."

"The data visualization part is the area most in need of improvement."

"KNIME's documentation is not strong."

"The graphic features of KNIME need improvement"

"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."

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

More KNIME Business Hub cons

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

"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."

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

"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."

"Not particularly user friendly."

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

More Weka cons

Pricing and Cost Advice

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

"I use the open-source version."

"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."

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

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

"I use the tool's free version."

"It's an open-source solution."

"The price for Knime is okay."

More KNIME Business Hub pricing and cost advice

"The solution is free and open-source."

"We use the free version now. My faculty is very small."

"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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

10%

University

Computer Software Company

University

18%

Educational Organization

17%

Computer Software Company

10%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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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Product Reports

KNIME Business Hub

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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

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KNIME Business Hub vs. Weka