Google Cloud Managed Service for Apache Spark vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Cloudera |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 18 | 205 |
| Ease of use | 9.0 | 8.6 |
| Ease of setup | 7.1 | 8.4 |
| Quality of support | 9.0 | 8.4 |
| Meets requirements | 8.8 | 8.9 |
| NPS | 68.75 | 45.641026 |
| Small Business | 27.8% | 34.3% |
| Mid-Market | 38.9% | 27.5% |
| Enterprise | 33.3% | 38.2% |
| Total page views | 126 | 964 |
| Total LLM citations | 544 | 1,693 |
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.
Cloudera
Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights.
- Ease of Use
- Scalability
- Security
- Features
- Performance
- Data Management