Common Voice dataset vs. Alation
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | Alation |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 11 | 98 |
| Ease of use | 8.4 | 8.6 |
| Ease of setup | 8.6 | 8.4 |
| Quality of support | 8.3 | 8.8 |
| Meets requirements | 8.3 | 8.5 |
| NPS | 63.636364 | 60.416667 |
| Small Business | 63.6% | 8.7% |
| Mid-Market | 27.3% | 30.4% |
| Enterprise | 9.1% | 60.9% |
| Total page views | 16 | 857 |
| Total LLM citations | 11 | 7,844 |
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.
Alation
Alation is the creator of AIOS™, the open, governed, self-improving intelligence operating system for enterprises that cannot afford to get AI wrong. Having pioneered the data catalog market, Alation helps organizations establish trust in the agents, data, and context that power AI-driven decisions. The result is AI organizations can trust, enabling them to navigate regulatory complexity, maintain data fidelity, accelerate operational outcomes, and transform AI ambition into trusted business impact.
- Ease of Use
- Data Discovery
- User Experience
- Data Cataloging
- User Interface
- Data Lineage