ClearQuery vs. Cube
A side-by-side comparison based on G2 review data.
| Metric | ClearQuery | Cube |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 12 | 27 |
| Ease of use | 9.2 | 9.0 |
| Ease of setup | 8.3 | 8.7 |
| Quality of support | 8.7 | 9.7 |
| Meets requirements | 8.9 | 9.0 |
| NPS | 58.333333 | 81.481481 |
| Small Business | 25.0% | 51.9% |
| Mid-Market | 33.3% | 40.7% |
| Enterprise | 41.7% | 7.4% |
| Total page views | 34 | 311 |
| Total LLM citations | 7 | 1,619 |
ClearQuery
ClearQuery is a full suite data analytics platform designed with one primary goal in mind- to make analytics simple for everyone. ClearQuery removes the technical barriers by giving every user the ability to get automated insights at ingestion. With dashboards and insights canvas, you are able to understand your data at a glance, easily explore relationships across datasets, ask questions in plain English and get answers without needing to know any query language. ClearQuery is a data analytics solution for humans.
- Ease of Use
- User Interface
- Ease of Understanding
- Ease of Learning
- Powerful BI
- Customization
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