Oracle Data Quality vs. Atlan
A side-by-side comparison based on G2 review data.
| Metric | Oracle Data Quality | Atlan |
|---|---|---|
| Overall rating | 4.0 | 4.5 |
| Review count | 54 | 135 |
| Ease of use | 8.1 | 9.1 |
| Ease of setup | 9.2 | 9.3 |
| Quality of support | 8.7 | 9.3 |
| Meets requirements | 8.5 | 8.8 |
| NPS | 33.333333 | 67.407407 |
| Small Business | 27.8% | 7.4% |
| Mid-Market | 24.1% | 50.4% |
| Enterprise | 48.1% | 42.2% |
| Total page views | 109 | 1,350 |
| Total LLM citations | 105 | 12,571 |
Oracle Data Quality
Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data resulting in trustworthy master data that integrates with applications to improve business insight.
Atlan
Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions.
- Ease of Use
- Features
- User Interface
- Easy Setup
- Data Cataloging
- Integrations