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KNIME Business Hub Reviews

Vendor: Knime
4.1 out of 5
Badge Ranked 1

What is KNIME Business Hub?

Featured KNIME Business Hub reviews

KNIME Business Hub mindshare

Product category:
As of January 2026, the mindshare of KNIME Business Hub in the Data Mining category stands at 14.6%, down from 25.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Mining Market Share Distribution
ProductMarket Share (%)
KNIME Business Hub14.6%
IBM SPSS Modeler20.2%
IBM SPSS Statistics19.4%
Other45.800000000000004%
Data Mining

PeerResearch reports based on KNIME Business Hub reviews

TypeTitleDate
CategoryData MiningJan 7, 2026Download
ProductReviews, tips, and advice from real usersJan 7, 2026Download
ComparisonKNIME Business Hub vs IBM SPSS StatisticsJan 7, 2026Download
ComparisonKNIME Business Hub vs IBM SPSS ModelerJan 7, 2026Download
ComparisonKNIME Business Hub vs WekaJan 7, 2026Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.1N/A96%91 interviewsAdd to research
IBM SPSS Statistics4.019.4%88%39 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

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Review data by company size

By reviewers
Company SizeCount
Small Business15
Midsize Enterprise15
Large Enterprise24
By reviewers
By visitors reading reviews
Company SizeCount
Small Business421
Midsize Enterprise241
Large Enterprise881
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
9%
University
9%
Computer Software Company
7%
Educational Organization
6%
Government
5%
Healthcare Company
5%
Performing Arts
5%
Insurance Company
4%
Hospitality Company
3%
Retailer
3%
Energy/Utilities Company
3%
Comms Service Provider
3%
Real Estate/Law Firm
3%
Outsourcing Company
2%
Non Profit
2%
Media Company
2%
Legal Firm
2%
Pharma/Biotech Company
2%
Construction Company
2%
Transportation Company
2%
Wholesaler/Distributor
1%
Recreational Facilities/Services Company
1%
Mining And Metals Company
1%
Non Tech Company
1%
Consumer Goods Company
1%
Sports Company
1%

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KNIME Business Hub customers

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KNIME Business Hub Reviews Summary
Author infoRatingReview Summary
BI Analyst at a photography company with 11-50 employees4.5I use KNIME for ETL, extracting data from various sources, and appreciate its simplicity, reusability, and ability to improve workflows. However, I find its Python interaction limited and am interested in the upcoming version 5.4.
Emeritus Professor of Health Services Research at University of South Wales4.5I use KNIME for diverse tasks, such as analyzing teaching methods during the pandemic. Its ease of use, with features like drag-and-drop, AI assistance, and Python integration, makes it powerful, though workspace organization could improve.
Senior Consultant at a mining and metals company with 10,001+ employees4.5I use KNIME for prototyping solutions using flat files, primarily for decision tree models. The platform is user-friendly and comprehensive, providing immediate benefits post-deployment. However, support could be improved, especially lacking documentation in Portuguese.
IT Specialist at a computer software company with 51-200 employees2.5I've mostly used KNIME in the education sector for course prediction based on student skills. It’s easy to use with great model prediction and reporting features. However, it struggles with large datasets, especially in the free Community Edition.
Emeritus Professor of Health Services Research at University of South Wales4.5I promote KNIME for its user-friendly interface, especially beneficial for beginners with no coding skills. It efficiently handles diverse data types, offers powerful data manipulation and visualization tools, and features strong community support but lacks widespread awareness.
Senior Data Consultant at a government with 11-50 employees4.0I find KNIME suitable for various industries, offering a node-based data integration system with a user-friendly drag-and-drop interface for data analytics and engineering. However, the English-centric UI could challenge local language data analysis.
Solution Consulting, Growth, Analytics at Akinon4.0I use KNIME for predictive modeling, leveraging its no-code platform for quick data preparation and automated machine learning. While it's easy to use for small datasets, its visualization capabilities need improvement, particularly in adding NLQ and automated visualizations.
Emeritus Professor of Health Services Research at University of South Wales4.5I've been using KNIME 5.0 for data analysis, appreciating its Python integration, ease of use, and extensive features like machine learning and text mining. Though all software has limitations, KNIME supports effective visual data handling without coding.