

SAS Enterprise Miner and KNIME Business Hub are competitive products in the data analytics sector. KNIME Business Hub appears to have the upper hand due to its flexibility and open-source integration, making it more appealing to tech-savvy buyers.
Features: SAS Enterprise Miner offers advanced analytics, decision tree creation, and robust data mining solutions. KNIME Business Hub supports data integration, allows for visual workflow creation, and leverages community-driven extensions for enhanced versatility.
Room for Improvement: SAS Enterprise Miner could improve its user interface and ease of use for non-experts, integrate better with additional third-party tools, and offer more flexibility in workflow customization. KNIME Business Hub can enhance scalability for very large datasets, refine some of its advanced algorithms for more precision, and expand its out-of-the-box machine learning offerings to keep pace with evolving AI technologies.
Ease of Deployment and Customer Service: SAS Enterprise Miner requires extensive setup and is better suited for organizations with complex data environments, necessitating dedicated support. KNIME Business Hub offers a more user-friendly deployment process with responsive customer service, making it an optimal choice for rapid deployments.
Pricing and ROI: SAS Enterprise Miner generally entails higher initial costs, targeting long-term ROI with its comprehensive capabilities. KNIME Business Hub provides a cost-effective initial setup, aligning with budget-friendly and scalable ROI objectives, catering to organizations seeking flexible investment strategies.
| Product | Market Share (%) |
|---|---|
| KNIME Business Hub | 13.5% |
| SAS Enterprise Miner | 4.8% |
| Other | 81.7% |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 16 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
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.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.