Azure Data Factory vs. AWS Glue
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | AWS Glue |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 102 | 202 |
| Ease of use | 9.1 | 8.6 |
| Ease of setup | 9.2 | 8.8 |
| Quality of support | 9.0 | 8.6 |
| Meets requirements | 9.3 | 8.7 |
| NPS | 76.28866 | 48.453608 |
| Small Business | 11.9% | 22.9% |
| Mid-Market | 28.7% | 28.4% |
| Enterprise | 59.4% | 48.8% |
| Total page views | 445 | 580 |
| Total LLM citations | 1,119 | 2,467 |
Azure Data Factory
Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems.
- Data Integration
- Ease of Use
- Integrations
- Scalability
- Connectors
- Simple
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