Azure Data Factory vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | Cloudera |
|---|---|---|
| Overall rating | 4.6 | 4.2 |
| Review count | 102 | 205 |
| Ease of use | 9.1 | 8.6 |
| Ease of setup | 9.2 | 8.4 |
| Quality of support | 9.0 | 8.4 |
| Meets requirements | 9.3 | 8.9 |
| NPS | 76.28866 | 45.641026 |
| Small Business | 11.9% | 34.3% |
| Mid-Market | 28.7% | 27.5% |
| Enterprise | 59.4% | 38.2% |
| Total page views | 445 | 964 |
| Total LLM citations | 1,119 | 1,693 |
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
Cloudera
Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights.
- Ease of Use
- Scalability
- Security
- Features
- Performance
- Data Management