Google Cloud Managed Service for Apache Spark vs. Rayven
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Rayven |
|---|---|---|
| Overall rating | 4.3 | 4.9 |
| Review count | 18 | 29 |
| Ease of use | 9.0 | 9.9 |
| Ease of setup | 7.1 | 9.9 |
| Quality of support | 9.0 | 9.9 |
| Meets requirements | 8.8 | 10.0 |
| NPS | 68.75 | 100 |
| Small Business | 27.8% | 22.7% |
| Mid-Market | 38.9% | 54.5% |
| Enterprise | 33.3% | 22.7% |
| Total page views | 126 | 1,648 |
| Total LLM citations | 544 | 1,068 |
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.
Rayven
What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top.
- Ease of Use
- Features
- Automation
- Customization
- Data Management
- Intuitive