Google Cloud Managed Service for Apache Spark vs. Pentaho Data Integration
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Pentaho Data Integration |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 18 | 17 |
| Ease of use | 9.0 | 8.8 |
| Ease of setup | 7.1 | 8.3 |
| Quality of support | 9.0 | 7.6 |
| Meets requirements | 8.8 | 8.9 |
| NPS | 68.75 | 47.058824 |
| Small Business | 27.8% | 17.6% |
| Mid-Market | 38.9% | 41.2% |
| Enterprise | 33.3% | 41.2% |
| Total page views | 126 | 259 |
| Total LLM citations | 544 | 1,413 |
Google Cloud Managed Service for Apache Spark
Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead, and you pay only for the resources you use (with per-second billing). Cloud Dataproc also easily integrates with other Google Cloud Platform (GCP) services, giving you a powerful and complete platform for data processing, analytics and machine learning.
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