Coginiti vs. Common Voice dataset
A side-by-side comparison based on G2 review data.
| Metric | Coginiti | Common Voice dataset |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 29 | 11 |
| Ease of use | 9.5 | 8.4 |
| Ease of setup | 9.5 | 8.6 |
| Quality of support | 8.9 | 8.3 |
| Meets requirements | 9.0 | 8.3 |
| NPS | 65.517241 | 63.636364 |
| Small Business | 6.9% | 63.6% |
| Mid-Market | 27.6% | 27.3% |
| Enterprise | 65.5% | 9.1% |
| Total page views | 123 | 16 |
| Total LLM citations | 133 | 11 |
Coginiti
Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to insights. Integrating with the widest variety of data platforms and tools, Coginiti enables analysts, engineers, and data scientists to collaborate in real-time, breaking down silos and fostering innovation. Its intuitive interface simplifies managing complex data workflows, ensuring governance and consistency across projects.
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.