Google Cloud Managed Service for Apache Spark vs. Apache Storm
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Apache Storm |
|---|---|---|
| Overall rating | 4.3 | 3.7 |
| Review count | 18 | 12 |
| Ease of use | 9.0 | 6.6 |
| Ease of setup | 7.1 | 6.7 |
| Quality of support | 9.0 | 7.5 |
| Meets requirements | 8.8 | 8.0 |
| NPS | 68.75 | -8.333333 |
| Small Business | 27.8% | 50.0% |
| Mid-Market | 38.9% | 16.7% |
| Enterprise | 33.3% | 33.3% |
| Total page views | 126 | 20 |
| Total LLM citations | 544 | 12 |
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.
Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.