Data Quality Navigator vs. Collibra
A side-by-side comparison based on G2 review data.
| Metric | Data Quality Navigator | Collibra |
|---|---|---|
| Overall rating | 4.7 | 4.2 |
| Review count | 25 | 104 |
| Ease of use | 9.4 | 8.3 |
| Ease of setup | 8.7 | 8.1 |
| Quality of support | 9.6 | 8.4 |
| Meets requirements | 9.2 | 8.6 |
| NPS | 86.956522 | 45.544554 |
| Small Business | 24.0% | 9.6% |
| Mid-Market | 20.0% | 18.3% |
| Enterprise | 56.0% | 72.1% |
| Total page views | 423 | 1,049 |
| Total LLM citations | 7 | 10,349 |
Data Quality Navigator
Data Quality Navigator (DQN) is a business-driven, end-to-end data quality platform that enables organizations to understand, improve, and continuously manage data quality in a measurable and scalable way. It moves data quality away from purely technical responsibility and enables business users to take ownership working with intuitive processes that reflect real operational needs. DQN comes with 2,500+ pre-built rules based on real business issues, so organizations don’t have to start from scratch.
Collibra
Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying to accelerate data and AI use cases while ensuring compliance, but are struggling with fragmented governance and visibility across the whole hybrid data ecosystem. Collibra unifies governance for data and AI across every system, data source and user—to create safe autonomy and a foundation for scaling AI and data use cases.
- Features
- Data Management
- Ease of Use
- Integrations
- Data Governance
- Product Improvement