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.
Product | Market Share (%) |
---|---|
KNIME Business Hub | 24.3% |
IBM SPSS Modeler | 17.9% |
Weka | 17.8% |
Other | 40.0% |
Type | Title | Date | |
---|---|---|---|
Category | Data Mining | Aug 27, 2025 | Download |
Product | Reviews, tips, and advice from real users | Aug 27, 2025 | Download |
Comparison | KNIME Business Hub vs IBM SPSS Statistics | Aug 27, 2025 | Download |
Comparison | KNIME Business Hub vs Weka | Aug 27, 2025 | Download |
Comparison | KNIME Business Hub vs IBM SPSS Modeler | Aug 27, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Databricks | 4.1 | N/A | 96% | 91 interviewsAdd to research |
Alteryx | 4.2 | N/A | 89% | 82 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 15 |
Midsize Enterprise | 15 |
Large Enterprise | 24 |
Company Size | Count |
---|---|
Small Business | 459 |
Midsize Enterprise | 327 |
Large Enterprise | 1169 |
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?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 Business Hub was previously known as KNIME Analytics Platform.
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Author info | Rating | Review Summary |
---|---|---|
BI Analyst at a photography company with 11-50 employees | 4.5 | I 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 Wales | 4.5 | I 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 Data Consultant at a government with 11-50 employees | 4.0 | I 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. |
Senior Consultant at a mining and metals company with 10,001+ employees | 4.5 | I 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 employees | 2.5 | I'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. |
Student at ISCTE - INSTITUTO UNIVERSITÁRIO DE LISBOA | 3.5 | I use KNIME for academic work because it's intuitive and easy to use. However, the interface for graphics can be confusing and could be improved. I haven't used any other solutions and am deploying it with a different cloud provider. |
Emeritus Professor of Health Services Research at University of South Wales | 4.5 | I 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. |
Head of Customer Analytics at American International Group | 4.5 | No summary available |