Common Voice dataset vs. erwin Data Modeler
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | erwin Data Modeler |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 11 | 141 |
| Ease of use | 8.4 | 8.6 |
| Ease of setup | 8.6 | 8.5 |
| Quality of support | 8.3 | 8.7 |
| Meets requirements | 8.3 | 8.7 |
| NPS | 63.636364 | 41.085271 |
| Small Business | 63.6% | 43.5% |
| Mid-Market | 27.3% | 36.2% |
| Enterprise | 9.1% | 20.3% |
| Total page views | 16 | 949 |
| Total LLM citations | 11 | 1,401 |
Common Voice dataset
Each entry in the dataset consists of a unique MP3 and corresponding text file. Many of the 1,368 recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help train the accuracy of speech recognition engines. The dataset currently consists of 1,087 validated hours in 18 languages, but we're always adding more voices and languages.
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