Amazon EMR vs. Google Cloud Managed Service for Apache Spark
A side-by-side comparison based on G2 review data.
| Metric | Amazon EMR | Google Cloud Managed Service for Apache Spark |
|---|---|---|
| Overall rating | 4.2 | 4.3 |
| Review count | 70 | 18 |
| Ease of use | 8.5 | 9.0 |
| Ease of setup | 8.8 | 7.1 |
| Quality of support | 8.5 | 9.0 |
| Meets requirements | 8.9 | 8.8 |
| NPS | 40.322581 | 68.75 |
| Small Business | 21.4% | 27.8% |
| Mid-Market | 20.0% | 38.9% |
| Enterprise | 58.6% | 33.3% |
| Total page views | 162 | 126 |
| Total LLM citations | 182 | 544 |
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
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.