Cube vs Matomo
Side-by-side comparison to help you choose the best tool.
Cube
paidCube is a connected FP&A platform that sits on top of existing Excel and Google Sheets workflows, adding AI planning, multi-source data consolidation, and automated reporting without forcing finance teams to abandon their familiar spreadsheet tools. Its AI assists with variance analysis, forecast generation, and identifying anomalies across consolidated financial data. Cube bridges the gap between the flexibility of spreadsheets and the power of a dedicated FP&A system.
Matomo
freemiumMatomo is an open-source, privacy-respecting web analytics platform that can be self-hosted on your own servers, providing full data ownership and GDPR compliance out of the box. It offers a feature-rich alternative to Google Analytics with heatmaps, session recordings, A/B testing, and funnel analysis. Organisations that cannot use cloud analytics due to data sovereignty or privacy requirements rely on Matomo.
| Feature | Cube | Matomo |
|---|---|---|
| Pricing | paid | freemium |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.2 | 4.4 |
| Best For | Finance teams wanting the power of a dedicated FP&A platform while keeping their existing Excel or Google Sheets workflows. | Organisations requiring full data ownership and privacy-compliant analytics |
| Views | 4 | 4 |
Pros
- Preserves existing spreadsheet workflows while adding FP&A power
- Fast time-to-value compared to replacing spreadsheets entirely
- Solid data consolidation from multiple financial systems
Cons
- Relies heavily on spreadsheet proficiency which can limit advanced modelling
- Some features feel less polished than purpose-built FP&A platforms
Pros
- Full data ownership with self-hosting option
- Feature-rich with heatmaps, funnels, and A/B testing
- Free to self-host with open-source licence
Cons
- Self-hosting requires server management expertise
- Cloud version can be expensive at scale
- Excel and Google Sheets integration
- AI-powered financial consolidation
- Automated variance analysis
- Multi-source data integration
- Collaborative planning and reporting
- Self-hosted analytics
- Full data ownership
- Heatmaps and session recordings
- A/B testing
- GDPR compliance tools