AWS Glue vs. Atlan
A side-by-side comparison based on G2 review data.
| Metric | AWS Glue | Atlan |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 202 | 135 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.8 | 9.3 |
| Quality of support | 8.6 | 9.3 |
| Meets requirements | 8.7 | 8.8 |
| NPS | 48.453608 | 67.407407 |
| Small Business | 22.9% | 7.4% |
| Mid-Market | 28.4% | 50.4% |
| Enterprise | 48.8% | 42.2% |
| Total page views | 580 | 1,350 |
| Total LLM citations | 2,467 | 12,571 |
AWS Glue
AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.
- Ease of Use
- Data Integration
- Features
- ETL Solutions
- Data Lineage
- Data Cataloging
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