Oracle Data Modeler vs. SqlDBM
A side-by-side comparison based on G2 review data.
| Metric | Oracle Data Modeler | SqlDBM |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 17 | 23 |
| Ease of use | 8.8 | 9.1 |
| Ease of setup | 8.9 | 9.1 |
| Quality of support | 8.5 | 9.3 |
| Meets requirements | 9.1 | 8.8 |
| NPS | 46.666667 | 59.090909 |
| Small Business | 47.1% | 18.2% |
| Mid-Market | 41.2% | 40.9% |
| Enterprise | 11.8% | 40.9% |
| Total page views | 133 | 596 |
| Total LLM citations | 30 | 752 |
Oracle Data Modeler
Oracle SQL Developer Data Modeler is a free, graphical tool designed to enhance productivity and simplify data modeling tasks. It enables users to create, browse, and edit logical, relational, physical, multi-dimensional, and data type models. The tool offers forward and reverse engineering capabilities and supports collaborative development through integrated source code control. It is suitable for use in both traditional and cloud environments.
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