KNIME vs. Azure Machine Learning
A side-by-side comparison based on G2 review data.
| Metric | KNIME | Azure Machine Learning |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 127 | 90 |
| Ease of use | 8.8 | 8.7 |
| Ease of setup | 8.8 | 8.6 |
| Quality of support | 8.6 | 8.8 |
| Meets requirements | 8.9 | 8.7 |
| NPS | 68 | 48.275862 |
| Small Business | 27.6% | 33.3% |
| Mid-Market | 29.1% | 26.7% |
| Enterprise | 43.3% | 40.0% |
| Total page views | 1,057 | 239 |
| Total LLM citations | 8,088 | 1,035 |
KNIME
KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.
- Ease of Use
- Ease of Learning
- Learning
- Coding Ease
- Graphical Visualization
- Easy Integrations
Azure Machine Learning
Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces.
- Features
- Ease of Use
- Customer Support
- Data Management
- Implementation Ease
- Efficiency