

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.
The relevant metrics for return on investment, as we are using a free version, obviously mean saved time, productivity, and scalability for the company.
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.
Technical support for Weka is very good, and I rate it a 10.
they were very good and available twenty-four hours a day, seven days a week
Scalability for Weka refers to the ability to expand, the ability to increase the number of users, and the ability to increase the amount of data, among other factors.
Weka struggles with large data sets imported into it.
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.
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.
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.
Computer vision is the most important because now there is a new age of large language models and visual language models.
I think Weka needs to improve in integrating Python into Weka, which would help users much more.
My experience with pricing, setup cost, and licensing for Weka is that I think it's a fair price since we are using it academically, so it is completely free to download and use.
It is very important that I have the workflow automation integrated with Python nodes.
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.
KNIME is simple and allows for fast project development due to its reusability.
Weka processes a large set of data sets without needing to write any type of code.
Weka is very easy to use, is very complete, and provides many benefits to the end user.
| Product | Mindshare (%) |
|---|---|
| KNIME Business Hub | 11.7% |
| Weka | 8.0% |
| Other | 80.3% |

| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 16 |
| Large Enterprise | 31 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
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.
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.
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