Apache Spark for Azure HDInsight vs. Pentaho Data Integration
A side-by-side comparison based on G2 review data.
| Metric | Apache Spark for Azure HDInsight | Pentaho Data Integration |
|---|---|---|
| Overall rating | 4.1 | 4.3 |
| Review count | 13 | 17 |
| Ease of use | 8.8 | 8.8 |
| Ease of setup | 8.9 | 8.3 |
| Quality of support | 8.7 | 7.6 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 30.769231 | 47.058824 |
| Small Business | 16.7% | 17.6% |
| Mid-Market | 58.3% | 41.2% |
| Enterprise | 25.0% | 41.2% |
| Total page views | 105 | 259 |
| Total LLM citations | 29 | 1,413 |
Apache Spark for Azure HDInsight
Apache Spark for Azure HDInsight is an open source processing framework that runs large-scale data analytics applications.
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