Common Voice dataset vs. DataGalaxy
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | DataGalaxy |
|---|---|---|
| Overall rating | 4.5 | 4.8 |
| Review count | 11 | 63 |
| Ease of use | 8.4 | 9.6 |
| Ease of setup | 8.6 | 9.7 |
| Quality of support | 8.3 | 9.7 |
| Meets requirements | 8.3 | 9.4 |
| NPS | 63.636364 | 92.063492 |
| Small Business | 63.6% | 3.2% |
| Mid-Market | 27.3% | 42.9% |
| Enterprise | 9.1% | 54.0% |
| Total page views | 16 | 384 |
| Total LLM citations | 11 | 1,179 |
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.
DataGalaxy
Founded in France and rapidly expanding across Europe and the United States, DataGalaxy is trusted by over 200 global enterprises, including Dior, Airbus, and SwissLife. The company is committed to driving data culture and literacy by helping organizations deliver metadata to the agents and value to the people. The platform emphasizes the importance of metadata, ensuring that all stakeholders have access to the necessary context and information to make informed decisions. The platform features two primary products: DataGalaxy Catalog and DataGalaxy Portfolio.
- Ease of Use
- Integrations
- User Interface
- Collaboration
- Data Lineage
- Automation