Apache Beam vs. Google Cloud Managed Service for Apache Spark
A side-by-side comparison based on G2 review data.
| Metric | Apache Beam | Google Cloud Managed Service for Apache Spark |
|---|---|---|
| Overall rating | 4.1 | 4.3 |
| Review count | 16 | 18 |
| Ease of use | 8.1 | 9.0 |
| Ease of setup | 9.3 | 7.1 |
| Quality of support | 7.9 | 9.0 |
| Meets requirements | 8.8 | 8.8 |
| NPS | 28.571429 | 68.75 |
| Small Business | 37.5% | 27.8% |
| Mid-Market | 43.8% | 38.9% |
| Enterprise | 18.8% | 33.3% |
| Total page views | 52 | 126 |
| Total LLM citations | 24 | 544 |
Apache Beam
Apache Beam is an open source unified programming model designed to define and execute data processing pipelines, including ETL, batch and stream processing.
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.