Cube vs. Pentaho
A side-by-side comparison based on G2 review data.
| Metric | Cube | Pentaho |
|---|---|---|
| Overall rating | 4.6 | 4.1 |
| Review count | 27 | 50 |
| Ease of use | 9.0 | 8.0 |
| Ease of setup | 8.7 | 7.1 |
| Quality of support | 9.7 | 8.1 |
| Meets requirements | 9.0 | 8.5 |
| NPS | 81.481481 | 33.333333 |
| Small Business | 51.9% | 21.3% |
| Mid-Market | 40.7% | 48.9% |
| Enterprise | 7.4% | 29.8% |
| Total page views | 311 | 170 |
| Total LLM citations | 1,619 | 281 |
Cube
Cube is the agentic analytics platform — built on a semantic layer. Cube is the AI-native generation of business intelligence. It's one platform for two use cases: internal BI, where data teams and business users analyze their own company's data, and embedded analytics, where software companies ship analytics inside their own products. The same governed semantic layer powers both. What makes AI answers trustworthy in production is the semantic layer underneath them. Cube was built around the semantic layer from day one rather than retrofitting one onto a dashboard- or notebook-first tool.
- Ease of Use
- Powerful BI
- Customization
- Innovation
- Integrations
- Performance
Pentaho
Pentaho is a modular, enterprise-grade platform that makes it easy to manage complex data—on-premises, in the cloud, or in hybrid environments. Whether structured or unstructured, your data becomes a trusted asset that teams can use to operate with confidence, agility, and control.