G2 Vendor Directory

Common Voice dataset vs. Collibra

A side-by-side comparison based on G2 review data.

MetricCommon Voice dataset

by Mozilla

Collibra

by Collibra

Overall rating4.54.2
Review count11104
Ease of use8.48.3
Ease of setup8.68.1
Quality of support8.38.4
Meets requirements8.38.6
NPS63.63636445.544554
Small Business63.6%9.6%
Mid-Market27.3%18.3%
Enterprise9.1%72.1%
Total page views161,049
Total LLM citations1110,349

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.

Pros

    Collibra

    Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying to accelerate data and AI use cases while ensuring compliance, but are struggling with fragmented governance and visibility across the whole hybrid data ecosystem. Collibra unifies governance for data and AI across every system, data source and user—to create safe autonomy and a foundation for scaling AI and data use cases.

    Pros

    • Features
    • Data Management
    • Ease of Use
    • Integrations
    • Data Governance
    • Product Improvement