AWS Data Pipeline vs. Azure Data Factory
A side-by-side comparison based on G2 review data.
| Metric | AWS Data Pipeline | Azure Data Factory |
|---|---|---|
| Overall rating | 4.1 | 4.6 |
| Review count | 24 | 102 |
| Ease of use | 8.8 | 9.1 |
| Ease of setup | 7.3 | 9.2 |
| Quality of support | 8.6 | 9.0 |
| Meets requirements | 9.2 | 9.3 |
| NPS | 47.619048 | 76.28866 |
| Small Business | 12.5% | 11.9% |
| Mid-Market | 58.3% | 28.7% |
| Enterprise | 29.2% | 59.4% |
| Total page views | 78 | 445 |
| Total LLM citations | 73 | 1,119 |
AWS Data Pipeline
AWS Data Pipeline is a web service that helps you process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.
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