Google Cloud Managed Service for Apache Spark vs. AWS Lake Formation
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | AWS Lake Formation |
|---|---|---|
| Overall rating | 4.3 | 4.4 |
| Review count | 18 | 38 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 7.1 | 8.7 |
| Quality of support | 9.0 | 8.6 |
| Meets requirements | 8.8 | 9.0 |
| NPS | 68.75 | 63.636364 |
| Small Business | 27.8% | 42.1% |
| Mid-Market | 38.9% | 23.7% |
| Enterprise | 33.3% | 34.2% |
| Total page views | 126 | 131 |
| Total LLM citations | 544 | 387 |
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.
AWS Lake Formation
AWS Lake Formation is a fully managed service to build, manage, secure, and share data in data lakes in days. You can centralize security and governance, and enable data sharing across the organization.