Holistics Data vs. Cube
A side-by-side comparison based on G2 review data.
| Metric | Holistics Data | Cube |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 15 | 27 |
| Ease of use | 8.6 | 9.0 |
| Ease of setup | 8.6 | 8.7 |
| Quality of support | 8.9 | 9.7 |
| Meets requirements | 8.6 | 9.0 |
| NPS | 46.666667 | 81.481481 |
| Small Business | 53.3% | 51.9% |
| Mid-Market | 40.0% | 40.7% |
| Enterprise | 6.7% | 7.4% |
| Total page views | 85 | 311 |
| Total LLM citations | 169 | 1,619 |
Holistics Data
Holistics is an AI analytics platform for teams that need governed, trustworthy answers across dashboards, self-service, and AI. It's built on a code-based semantic layer, so the metrics your team relies on stay consistent whether they're viewed in an embedded dashboard, explored by a business user, or surfaced through AI. With Holistics, you can: - Trust your AI analytics: Holistics AI reasons over your governed metric definitions rather than raw tables, so answers stay consistent with the numbers your team already uses.
- Embedding Features
- Detailed Analysis
- Innovation
- Performance
- Data Visualization
- Versatility
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