Azure Data Factory vs. Pentaho Data Integration
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | Pentaho Data Integration |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 102 | 17 |
| Ease of use | 9.1 | 8.8 |
| Ease of setup | 9.2 | 8.3 |
| Quality of support | 9.0 | 7.6 |
| Meets requirements | 9.3 | 8.9 |
| NPS | 76.28866 | 47.058824 |
| Small Business | 11.9% | 17.6% |
| Mid-Market | 28.7% | 41.2% |
| Enterprise | 59.4% | 41.2% |
| Total page views | 445 | 259 |
| Total LLM citations | 1,119 | 1,413 |
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
Pentaho Data Integration
More than just ETL (Extract, Transform, Load), Pentaho Data Integration is a codeless data orchestration tool that blends diverse data sets into a single source of truth as a basis for analysis and reporting. Effortlessly managed in a drag-and-drop graphical interface, so you can easily track where it's coming from, where it's going and how it's transforming. Develop and maintain pipeline efficiency Scalability, simplicity, and self-service Leverage quality and lineage inputs for enhanced data observability and management
- Features
- Data Integration
- Ease of Use
- Data Pipelining
- Data Storage
- Database Management