Google Cloud Managed Service for Apache Spark vs. Amazon EMR
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Amazon EMR |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 18 | 70 |
| Ease of use | 9.0 | 8.5 |
| Ease of setup | 7.1 | 8.8 |
| Quality of support | 9.0 | 8.5 |
| Meets requirements | 8.8 | 8.9 |
| NPS | 68.75 | 40.322581 |
| Small Business | 27.8% | 21.4% |
| Mid-Market | 38.9% | 20.0% |
| Enterprise | 33.3% | 58.6% |
| Total page views | 126 | 162 |
| Total LLM citations | 544 | 182 |
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.
Amazon EMR
Amazon EMR is a web-based service that simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective to distribute and process vast amounts of data across dynamically scalable Amazon EC2 instances.
- Ease of Use
- Large Datasets
- Data Integration