Google Cloud Knowledge Catalog vs. Collibra
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Knowledge Catalog | Collibra |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 17 | 104 |
| Ease of use | 8.7 | 8.3 |
| Ease of setup | 10.0 | 8.1 |
| Quality of support | 8.5 | 8.4 |
| Meets requirements | 9.0 | 8.6 |
| NPS | 58.823529 | 45.544554 |
| Small Business | 41.2% | 9.6% |
| Mid-Market | 17.6% | 18.3% |
| Enterprise | 41.2% | 72.1% |
| Total page views | 69 | 1,049 |
| Total LLM citations | 152 | 10,349 |
Google Cloud Knowledge Catalog
Knowledge Catalog is a dynamic, always-on, universal context engine for agents. It unifies structured, unstructured, and SaaS data into a governed, agent-ready truth. Knowledge Catalog aggregates native context across your Google and partner data platforms, semantic models, and third-party catalogs, unifying them into a single, governed source of truth. Automatically harvest technical metadata across your foundational systems—including BigQuery, AlloyDB, Spanner, Cloud SQL, Firestore (Preview), and Looker (Preview).
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.
- Features
- Data Management
- Ease of Use
- Integrations
- Data Governance
- Product Improvement