Azure Data Factory vs. Snowflake
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | Snowflake |
|---|---|---|
| Overall rating | 4.6 | 4.6 |
| Review count | 102 | 762 |
| Ease of use | 9.1 | 9.2 |
| Ease of setup | 9.2 | 9.1 |
| Quality of support | 9.0 | 8.9 |
| Meets requirements | 9.3 | 9.3 |
| NPS | 76.28866 | 73.876404 |
| Small Business | 11.9% | 13.1% |
| Mid-Market | 28.7% | 44.9% |
| Enterprise | 59.4% | 42.1% |
| Total page views | 445 | 4,830 |
| Total LLM citations | 1,119 | 28,559 |
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
Snowflake
Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).
- Ease of Use
- Features
- Data Management
- Scalability
- Integrations
- Performance