Snowflake vs. Data Quality Navigator
A side-by-side comparison based on G2 review data.
| Metric | Snowflake | Data Quality Navigator |
|---|---|---|
| Overall rating | 4.6 | 4.7 |
| Review count | 762 | 25 |
| Ease of use | 9.2 | 9.4 |
| Ease of setup | 9.1 | 8.7 |
| Quality of support | 8.9 | 9.6 |
| Meets requirements | 9.3 | 9.2 |
| NPS | 73.876404 | 86.956522 |
| Small Business | 13.1% | 24.0% |
| Mid-Market | 44.9% | 20.0% |
| Enterprise | 42.1% | 56.0% |
| Total page views | 4,830 | 423 |
| Total LLM citations | 28,559 | 7 |
Snowflake
Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).
- Ease of Use
- Features
- Data Management
- Scalability
- Integrations
- Performance
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.