DataTrust vs. Atlan
A side-by-side comparison based on G2 review data.
| Metric | DataTrust | Atlan |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 15 | 135 |
| Ease of use | 9.0 | 9.1 |
| Ease of setup | 8.3 | 9.3 |
| Quality of support | 9.2 | 9.3 |
| Meets requirements | 8.9 | 8.8 |
| NPS | 73.333333 | 67.407407 |
| Small Business | 40.0% | 7.4% |
| Mid-Market | 26.7% | 50.4% |
| Enterprise | 33.3% | 42.2% |
| Total page views | 162 | 1,350 |
| Total LLM citations | 181 | 12,571 |
DataTrust
DataTrust by RightData is an enterprise data quality and observability platform that automates data validation, reconciliation, profiling and monitoring. It helps organizations ensure trusted, accurate, and reliable data across cloud and hybrid environments. The platform offers end-to-end data quality assurance across databases, data warehouses, data lakes, ETL pipelines and analytics platforms, enabling automated testing, schema validation and reconciliation to maintain consistency during migrations and transformations.
- User Interface
- Time-saving
- Ease of Use
- Issue Resolution
- Duplicate Management
- Bug Detection
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