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

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

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

"I've tried to utilize KNIME to the fullest extent possible to replace Excel."

"It can handle an unlimited amount of data, which is the advantage of using Knime."

"It is very fast to develop solutions."

"KNIME is very easy to handle and use. Anyone can use it, and it's easy to learn."

"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."

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

More KNIME Business Hub pros

"Weka is a very easy to use Data Mining solution, great for learning and for doing small experiments before exploring the data deeper, with a large number and diversity of algorithms that make it an excellent solution for rapid testing."

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

"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."

"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."

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

"It is a stable product."

More Weka pros

Cons

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

"I wish there were more video training resources for KNIME. The current videos are very short, and most learning is text-based. Longer training sessions would be helpful, especially for complex flowchart use cases. Webinars focusing on starting projects and analyzing data would also be beneficial."

"The ability to handle large amounts of data and performance in processing need to be improved."

"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."

"For graphics, the interface is a little confusing. So, this is a point that could be improved."

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

"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."

"KNIME is not good at visualization."

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."

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

"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."

"Weka could be more stable."

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

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

"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."

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

"KNIME offers a free version"

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

"KNIME Business Hub is expensive for small companies."

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

"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."

"It is expensive to procure the license."

More KNIME Business Hub pricing and cost advice

"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."

"The solution is free and open-source."

"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%

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.

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...

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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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