Azure Data Factory vs. AWS Lake Formation
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | AWS Lake Formation |
|---|---|---|
| Overall rating | 4.6 | 4.4 |
| Review count | 102 | 38 |
| Ease of use | 9.1 | 8.9 |
| Ease of setup | 9.2 | 8.7 |
| Quality of support | 9.0 | 8.6 |
| Meets requirements | 9.3 | 9.0 |
| NPS | 76.28866 | 63.636364 |
| Small Business | 11.9% | 42.1% |
| Mid-Market | 28.7% | 23.7% |
| Enterprise | 59.4% | 34.2% |
| Total page views | 445 | 131 |
| Total LLM citations | 1,119 | 387 |
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 Lake Formation
AWS Lake Formation is a fully managed service to build, manage, secure, and share data in data lakes in days. You can centralize security and governance, and enable data sharing across the organization.