Cube vs. Metabase
A side-by-side comparison based on G2 review data.
| Metric | Cube | Metabase |
|---|---|---|
| Overall rating | 4.6 | 4.4 |
| Review count | 27 | 147 |
| Ease of use | 9.0 | 8.6 |
| Ease of setup | 8.7 | 9.2 |
| Quality of support | 9.7 | 8.3 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 81.481481 | 60 |
| Small Business | 51.9% | 35.0% |
| Mid-Market | 40.7% | 52.4% |
| Enterprise | 7.4% | 12.6% |
| Total page views | 311 | 817 |
| Total LLM citations | 1,619 | 21,404 |
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
Metabase
Metabase is the easy-to-use, open source Business Intelligence tool that lets everyone work with data, with or without SQL, for internal and customer-facing, embedded analytics. Install and setup in 5 minutes. Works with what’s already in your data stack, including SQL and NoSQL databases, from PostgreSQL to MongoDB. Let your whole team explore data on their own, create charts, interactive dashboards, and set up subscriptions and alerts - even to people outside of your org. The native SQL editor and advanced data tools will win over your data team.
- Ease of Use
- Intuitive
- Implementation Ease
- Easy Setup
- User Interface
- Data Visualization