Apache Storm vs. Google Cloud Managed Service for Apache Spark
A side-by-side comparison based on G2 review data.
| Metric | Apache Storm | Google Cloud Managed Service for Apache Spark |
|---|---|---|
| Overall rating | 3.7 | 4.3 |
| Review count | 12 | 18 |
| Ease of use | 6.6 | 9.0 |
| Ease of setup | 6.7 | 7.1 |
| Quality of support | 7.5 | 9.0 |
| Meets requirements | 8.0 | 8.8 |
| NPS | -8.333333 | 68.75 |
| Small Business | 50.0% | 27.8% |
| Mid-Market | 16.7% | 38.9% |
| Enterprise | 33.3% | 33.3% |
| Total page views | 20 | 126 |
| Total LLM citations | 12 | 544 |
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.
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.