JMP vs. KNIME
A side-by-side comparison based on G2 review data.
| Metric | JMP | KNIME |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 213 | 127 |
| Ease of use | 8.6 | 8.8 |
| Ease of setup | 8.8 | 8.8 |
| Quality of support | 8.9 | 8.6 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 65.533981 | 68 |
| Small Business | 32.1% | 27.6% |
| Mid-Market | 25.9% | 29.1% |
| Enterprise | 42.0% | 43.3% |
| Total page views | 1,133 | 1,057 |
| Total LLM citations | 8,597 | 8,088 |
JMP
JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed.
- Ease of Use
- Data Visualization
- Visualization
- Statistical Analysis
- User Interface
- Visual Design
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