AWS Glue vs. DataGalaxy
A side-by-side comparison based on G2 review data.
| Metric | AWS Glue | DataGalaxy |
|---|---|---|
| Overall rating | 4.3 | 4.8 |
| Review count | 202 | 63 |
| Ease of use | 8.6 | 9.6 |
| Ease of setup | 8.8 | 9.7 |
| Quality of support | 8.6 | 9.7 |
| Meets requirements | 8.7 | 9.4 |
| NPS | 48.453608 | 92.063492 |
| Small Business | 22.9% | 3.2% |
| Mid-Market | 28.4% | 42.9% |
| Enterprise | 48.8% | 54.0% |
| Total page views | 580 | 384 |
| Total LLM citations | 2,467 | 1,179 |
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
DataGalaxy
Founded in France and rapidly expanding across Europe and the United States, DataGalaxy is trusted by over 200 global enterprises, including Dior, Airbus, and SwissLife. The company is committed to driving data culture and literacy by helping organizations deliver metadata to the agents and value to the people. The platform emphasizes the importance of metadata, ensuring that all stakeholders have access to the necessary context and information to make informed decisions. The platform features two primary products: DataGalaxy Catalog and DataGalaxy Portfolio.
- Ease of Use
- Integrations
- User Interface
- Collaboration
- Data Lineage
- Automation