Cinchy vs. Atlan
A side-by-side comparison based on G2 review data.
| Metric | Cinchy | Atlan |
|---|---|---|
| Overall rating | 4.8 | 4.5 |
| Review count | 19 | 135 |
| Ease of use | 9.4 | 9.1 |
| Ease of setup | 7.6 | 9.3 |
| Quality of support | 9.7 | 9.3 |
| Meets requirements | 9.0 | 8.8 |
| NPS | 89.473684 | 67.407407 |
| Small Business | 15.8% | 7.4% |
| Mid-Market | 47.4% | 50.4% |
| Enterprise | 36.8% | 42.2% |
| Total page views | 73 | 1,350 |
| Total LLM citations | 97 | 12,571 |
Cinchy
With the Cinchy Data Collaboration platform liberate data from applications and control and connect as data products in a network, eliminating the need for future data integration. Build a more agile data ecosystem that makes change simple, rapidly accelerates business outcomes, and fosters collaborative intelligence across your enterprise. With Cinchy, cure the pains of integration to deliver projects at half the cost and time, improve data governance with universal data access controls, and provide data access to business users for self-serve reporting and analytics.
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