Google Cloud Managed Service for Apache Spark vs. Hazelcast Platform
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Hazelcast Platform |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 18 | 13 |
| Ease of use | 9.0 | 8.7 |
| Ease of setup | 7.1 | 8.3 |
| Quality of support | 9.0 | 8.9 |
| Meets requirements | 8.8 | 8.9 |
| NPS | 68.75 | 41.666667 |
| Small Business | 27.8% | 53.8% |
| Mid-Market | 38.9% | 23.1% |
| Enterprise | 33.3% | 23.1% |
| Total page views | 126 | 83 |
| Total LLM citations | 544 | 138 |
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.
Hazelcast Platform
Hazelcast Platform is the Live Data Platform that delivers data at the speed of relevance, providing the in‑memory foundation for applications that act on data the instant it's created—ensuring businesses never miss a moment of opportunity. By converging distributed caching, compute, stream processing, and real‑time AI into one low‑latency runtime, Hazelcast delivers sub‑millisecond performance, linear scalability, and enterprise resilience. Global 2000 firms trust Hazelcast to simplify architectures, reduce costs, and power mission‑critical, time‑sensitive applications.
- Flexibility
- Ease of Use
- Performance Efficiency
- Performance
- Simple
- Fast Processing