Apache NiFi vs. Azure Data Factory
A side-by-side comparison based on G2 review data.
| Metric | Apache NiFi | Azure Data Factory |
|---|---|---|
| Overall rating | 4.2 | 4.6 |
| Review count | 26 | 102 |
| Ease of use | 8.5 | 9.1 |
| Ease of setup | 9.0 | 9.2 |
| Quality of support | 7.7 | 9.0 |
| Meets requirements | 9.4 | 9.3 |
| NPS | 57.692308 | 76.28866 |
| Small Business | 16.7% | 11.9% |
| Mid-Market | 33.3% | 28.7% |
| Enterprise | 50.0% | 59.4% |
| Total page views | 179 | 445 |
| Total LLM citations | 595 | 1,119 |
Apache NiFi
Apache NiFi is an open-source data integration platform designed to automate the flow of information between systems. It enables users to design, manage, and monitor data flows through an intuitive, web-based interface, facilitating real-time data ingestion, transformation, and routing without extensive coding. Originally developed by the National Security Agency (NSA) as "NiagaraFiles," NiFi was released to the open-source community in 2014 and has since become a top-level project under the Apache Software Foundation.
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