Cube vs. Amazon Quick
A side-by-side comparison based on G2 review data.
| Metric | Cube | Amazon Quick |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 27 | 698 |
| Ease of use | 9.0 | 8.7 |
| Ease of setup | 8.7 | 8.6 |
| Quality of support | 9.7 | 8.6 |
| Meets requirements | 9.0 | 8.5 |
| NPS | 81.481481 | 49.631811 |
| Small Business | 51.9% | 39.9% |
| Mid-Market | 40.7% | 36.5% |
| Enterprise | 7.4% | 23.6% |
| Total page views | 311 | 1,332 |
| Total LLM citations | 1,619 | 376 |
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
Amazon Quick
Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, natural language queries and embedded analytics. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Over 100,000 customers use Amazon QuickSight. Learn more at https://quicksight.aws
- Integrations
- Ease of Use
- Easy Integrations
- Data Visualization
- Dashboard Management
- Scalability