Collate vs. Atlan
A side-by-side comparison based on G2 review data.
| Metric | Collate | Atlan |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 10 | 135 |
| Ease of use | 9.4 | 9.1 |
| Ease of setup | 9.2 | 9.3 |
| Quality of support | 10.0 | 9.3 |
| Meets requirements | 9.3 | 8.8 |
| NPS | 80 | 67.407407 |
| Small Business | 10.0% | 7.4% |
| Mid-Market | 50.0% | 50.4% |
| Enterprise | 40.0% | 42.2% |
| Total page views | 57 | 1,350 |
| Total LLM citations | 28 | 12,571 |
Collate
Collate is the AI-for-Data platform and the company behind OpenMetadata, the open context layer for AI. It gives data teams and AI agents the context, business meaning, and organizational memory needed to understand and use enterprise data consistently. Collate automates the recurring work required to keep data documented, tested, and governed, while grounding AI in the context needed to produce more accurate answers with fewer tokens. More than 4,000 organizations worldwide, including OpenAI, Yelp, Experian, and Airbus, run their production data and AI workloads on Collate and OpenMetadata.
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