Microsoft Power BI vs. Cube
A side-by-side comparison based on G2 review data.
| Metric | Microsoft Power BI | Cube |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 1,659 | 27 |
| Ease of use | 8.7 | 9.0 |
| Ease of setup | 9.0 | 8.7 |
| Quality of support | 8.7 | 9.7 |
| Meets requirements | 9.1 | 9.0 |
| NPS | 70.093458 | 81.481481 |
| Small Business | 21.0% | 51.9% |
| Mid-Market | 36.8% | 40.7% |
| Enterprise | 42.2% | 7.4% |
| Total page views | 4,344 | 311 |
| Total LLM citations | 32,770 | 1,619 |
Microsoft Power BI
Power BI Desktop puts visual analytics at your fingertips. With this powerful authoring tool, you can create interactive data visualizations and reports. Connect, mash up, model, and visualize your data. Place visuals exactly where you want them, analyze and explore your data, and share content with others by publishing to the Power BI web service. Power BI Desktop is part of the Power BI product suite. To monitor key data and share dashboards and reports, use the Power BI web service.
- Ease of Use
- Data Visualization
- Integrations
- Powerful BI
- Data Integration
- Charting Features
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