Google Cloud Managed Service for Apache Spark vs. Starburst
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Starburst |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 18 | 127 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 7.1 | 8.6 |
| Quality of support | 9.0 | 9.0 |
| Meets requirements | 8.8 | 9.0 |
| NPS | 68.75 | 51.587302 |
| Small Business | 27.8% | 38.6% |
| Mid-Market | 38.9% | 23.6% |
| Enterprise | 33.3% | 37.8% |
| Total page views | 126 | 853 |
| Total LLM citations | 544 | 4,628 |
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.
Starburst
Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. Learn more at starburst.ai
- Fast Querying
- Query Efficiency
- Integrations
- Ease of Use
- Large Datasets
- Performance