Common Voice dataset vs. AWS Glue
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | AWS Glue |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 11 | 202 |
| Ease of use | 8.4 | 8.6 |
| Ease of setup | 8.6 | 8.8 |
| Quality of support | 8.3 | 8.6 |
| Meets requirements | 8.3 | 8.7 |
| NPS | 63.636364 | 48.453608 |
| Small Business | 63.6% | 22.9% |
| Mid-Market | 27.3% | 28.4% |
| Enterprise | 9.1% | 48.8% |
| Total page views | 16 | 580 |
| Total LLM citations | 11 | 2,467 |
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.
AWS Glue
AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.
- Ease of Use
- Data Integration
- Features
- ETL Solutions
- Data Lineage
- Data Cataloging