

Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining.
While they cannot always provide immediate answers, they are generally efficient and simplify tasks, especially in the initial phase of learning KNIME.
My mark for technical support for KNIME Business Hub is about a 7, as most of the support is in the community, and it is quite good because it is open source.
For now, KNIME Business Hub is excellent for me and for our team.
From 1 to 10, I would rate the stability of KNIME Business Hub quite good, around an 8 or 9.
It can handle large datasets.
I would like to see additional functions in KNIME Business Hub that can connect to generative AI, allowing users to describe the workflow for easier workflow generation and creation.
Computer vision is the most important because now there is a new age of large language models and visual language models.
When I import this data set in the File Reader node, I have problems with this field because it is a date, but the problem is that it imports it as text.
Pentaho Business Analytics is hard to learn and not suited for initial users as it requires knowledge of operating systems, Java, and other technical skills.
Pentaho Business Analytics is priced similarly to other competitors such as QlikView and Tableau.
KNIME is more intuitive and easier to use, which is the principal advantage.
When I work through the workflow one time, I can reuse it later on, saving considerable time for many tasks.
Collection of company-wide information is one of the main benefits that KNIME Business Hub provides to the end users; all the intellectual property that has been developed in a central location is critical.
It is a stable product, and it can handle large datasets.
| Product | Mindshare (%) |
|---|---|
| KNIME Business Hub | 11.4% |
| IBM SPSS Statistics | 16.8% |
| IBM SPSS Modeler | 16.5% |
| Other | 55.3% |
| Product | Mindshare (%) |
|---|---|
| Pentaho Business Analytics | 1.0% |
| Microsoft Power BI | 8.1% |
| Tableau Enterprise | 6.2% |
| Other | 84.7% |

| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 16 |
| Large Enterprise | 32 |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 7 |
| Large Enterprise | 15 |
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?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.
Pentaho Business Analytics, recognized for its powerful ETL capabilities, delivers robust data management and analytics. Its adaptable interface and custom plugins enable effective data transformations, appealing to enterprises seeking efficient data handling and integration.
Pentaho Business Analytics offers a comprehensive suite for data warehousing, ETL processes, and business intelligence. Known for integrating and analyzing data from multiple systems, it supports industries like marketing, automotive, telecom, and insurance. Despite critiques on its interface and Java reliance, its ability to manage both small and complex data loads makes it a cost-effective choice.
What are the key features of Pentaho Business Analytics?Pentaho Business Analytics finds application in sectors requiring extensive data storage and management like telecom and insurance. Companies utilize its capabilities for creating ETL pipelines, managing data flows, and enabling data-driven decision-making.
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