Cube vs. Whaly
A side-by-side comparison based on G2 review data.
| Metric | Cube | Whaly |
|---|---|---|
| Overall rating | 4.6 | 4.8 |
| Review count | 27 | 25 |
| Ease of use | 9.0 | 9.3 |
| Ease of setup | 8.7 | 8.7 |
| Quality of support | 9.7 | 9.7 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 81.481481 | 96 |
| Small Business | 51.9% | 47.6% |
| Mid-Market | 40.7% | 52.4% |
| Enterprise | 7.4% | 0.0% |
| Total page views | 311 | 31 |
| Total LLM citations | 1,619 | 16 |
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
Whaly
We believe that analytics should benefit everyone. Whaly is an integrated, self-service business intelligence platform that enables data teams and business teams to work better together. Business teams are empowered to access, analyze, and share data from the tools they already use every day - HubSpot, Salesforce, Google Analytics, and more - with no technical expertise required. This means no more waiting on data teams for answers to every question. In parallel, data teams get some time back to focus on fewer menial tasks.