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 7.9, while Weka is ranked #4. Knime holds a 12.8% mindshare in DM, compared to Weka’s 8.8% mindshare. Additionally, 94% of Knime users are willing to recommend the solution, compared to 80% of Weka users who would recommend it.

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,206 Views
1,231 Comparison Views

94% willing to recommend

Weka

Read 15 Weka reviews

1,553 Views
1,336 Comparison Views

80% willing to recommend

KNIME Business Hub

Weka

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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: March 2026).

Buyer's Guide

KNIME Business Hub vs. Weka

March 2026

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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

4th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (1st)

Mindshare comparison

As of March 2026, in the Data Mining category, the mindshare of KNIME Business Hub is 12.8%, down from 25.3% compared to the previous year. The mindshare of Weka is 8.8%, down from 21.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
KNIME Business Hub	12.8%
Weka	8.8%
Other	78.4%

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.

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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

"So far, it can solve my data analysis problems and I think it's a powerful data analysis tool."

"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."

"We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders."

"We have been using these features extensively and we find them to be very valuable in achieving what we hoped to achieve with the tool."

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

"Usability and organizing workflows in a very neat manner, controlling workflow through variables is something amazing."

"For organizations with a small team of data analysts or data scientists, it is a very easy tool to become familiar with predictive modeling, and makes it possible to hand over projects to colleagues without the need to extensively document them."

More KNIME Business Hub pros

"It is a stable product."

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

"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."

"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."

"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."

"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."

More Weka pros

Cons

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

"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."

"I feel the query performance is slower than my old code."

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

"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."

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

"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."

"For graphics, the interface is a little confusing."

More KNIME Business Hub cons

"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."

"If there are a lot more lines of code, then we should use another language."

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

"Scalability and performance are the main aspect of improvement in Weka, since it has the main Java limitations, regarding the JVM."

"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."

"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 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."

More Weka cons

Pricing and Cost Advice

"I use the open-source version."

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

"This is an open-source solution that is 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."

"There is no cost for using KNIME because it is an open-source solution, but you have to pay if you need a server."

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

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

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

12%

University

Manufacturing Company

Educational Organization

17%

University

13%

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	8
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.

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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...

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Comparisons

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Compared 12% of the time

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Compared 11% of the time

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Compared 8% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 8% of the time

Pentaho Business Analytics vs KNIME Business Hub

Compared 4% of the time

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IBM SPSS Modeler vs Weka

Compared 11% of the time

DataRPM vs Weka

Compared 10% of the time

Elastic Search vs Weka

Compared 7% of the time

SAS Enterprise Miner vs Weka

Compared 6% of the time

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Product Reports

Buyer's Guide

KNIME Business Hub

March 2026

Download KNIME Business Hub product report

Buyer's Guide

Weka

February 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

March 2026

Free Report: KNIME Business Hub vs. Weka

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