erwin Data Modeler vs. SqlDBM
A side-by-side comparison based on G2 review data.
| Metric | erwin Data Modeler | SqlDBM |
|---|---|---|
| Overall rating | 4.2 | 4.5 |
| Review count | 141 | 23 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.5 | 9.1 |
| Quality of support | 8.7 | 9.3 |
| Meets requirements | 8.7 | 8.8 |
| NPS | 41.085271 | 59.090909 |
| Small Business | 43.5% | 18.2% |
| Mid-Market | 36.2% | 40.9% |
| Enterprise | 20.3% | 40.9% |
| Total page views | 949 | 596 |
| Total LLM citations | 1,401 | 752 |
erwin Data Modeler
Part of the Quest erwin Data Management Platform, delivering industry-leading enterprise data modeling. erwin Data Modeler provides the blueprints for trusted data. Integrated with erwin Data Intelligence, it connects models to governed metadata and business context - ensuring that what’s delivered in production matches the design, so data products are accurate, governed, and AI-ready.
- Ease of Use
- Collaboration
- Insights
- Integration Capabilities
- Integrations
- Efficiency Improvement
SqlDBM
SqlDBM – The Standard for Modern Data Modeling in the Cloud + AI Era SqlDBM is redefining how enterprises architect, govern, and scale data infrastructure in a cloud-first world. As the only cloud-native data modeling platform built for the modern stack, SqlDBM empowers data teams to move faster and build smarter—without the friction of legacy tools. It directly integrates with platforms like Snowflake, Databricks, Google BigQuery, AWS Redshift, and Microsoft Fabric, bridging the gap between data engineering, analytics, and AI.
- Ease of Use
- Customer Support
- Integrations
- Features
- Performance Efficiency
- Easy Integrations