Common Voice dataset vs. ServiceNow Workflow Data Fabric
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | ServiceNow Workflow Data Fabric |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 11 | 155 |
| Ease of use | 8.4 | 8.3 |
| Ease of setup | 8.6 | 8.2 |
| Quality of support | 8.3 | 8.7 |
| Meets requirements | 8.3 | 8.7 |
| NPS | 63.636364 | 44.078947 |
| Small Business | 63.6% | 19.6% |
| Mid-Market | 27.3% | 30.8% |
| Enterprise | 9.1% | 49.7% |
| Total page views | 16 | 1,256 |
| Total LLM citations | 11 | 4,147 |
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.
ServiceNow Workflow Data Fabric
Workflow Data Fabric is the AI‑ready data foundation of the ServiceNow AI Platform. It connects to any data—structured, unstructured, and streaming—contextualizes it with business meaning and governance, and controls it with lineage and policies so employees and AI agents can confidently act on real‑time information to prevent disruptions, resolve requests faster, and optimize operations—all on one platform.
- Ease of Use
- Integrations
- Automation
- Efficiency Improvement
- Data Management
- Easy Integrations