Oracle Analytics Cloud vs. Cube
A side-by-side comparison based on G2 review data.
| Metric | Oracle Analytics Cloud | Cube |
|---|---|---|
| Overall rating | 4.1 | 4.6 |
| Review count | 334 | 27 |
| Ease of use | 8.3 | 9.0 |
| Ease of setup | 7.9 | 8.7 |
| Quality of support | 8.1 | 9.7 |
| Meets requirements | 8.6 | 9.0 |
| NPS | 40.273038 | 81.481481 |
| Small Business | 13.3% | 51.9% |
| Mid-Market | 26.9% | 40.7% |
| Enterprise | 59.8% | 7.4% |
| Total page views | 585 | 311 |
| Total LLM citations | 3,986 | 1,619 |
Oracle Analytics Cloud
Oracle Analytics Cloud is a comprehensive cloud analytics platform that empowers you to fundamentally change how you analyze and act on information. Empower leaders, analysts, and IT to access data from wherever they are, even using mobile devices. Oracle Analytics Cloud helps organizations discover unique insights faster with machine learning. With augmented analytics, combine data from across your organization with third-party data and automate important and time-consuming tasks such as data preparation, visualization, forecasting, and reporting.
- Data Visualization
- Ease of Use
- Analytics
- Scalability
- Intuitive
- Flexibility
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