Common Voice dataset vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | Cloudera |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 11 | 205 |
| Ease of use | 8.4 | 8.6 |
| Ease of setup | 8.6 | 8.4 |
| Quality of support | 8.3 | 8.4 |
| Meets requirements | 8.3 | 8.9 |
| NPS | 63.636364 | 45.641026 |
| Small Business | 63.6% | 34.3% |
| Mid-Market | 27.3% | 27.5% |
| Enterprise | 9.1% | 38.2% |
| Total page views | 16 | 964 |
| Total LLM citations | 11 | 1,693 |
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.
Cloudera
Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights.
- Ease of Use
- Scalability
- Security
- Features
- Performance
- Data Management