Google Cloud Managed Service for Apache Spark
Reviews
Star rating
Rank in Big Data Processing and Distribution
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 27.8% |
| Mid-Market | 38.9% |
| Enterprise | 33.3% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2026 Q3 | 1 | 4.0 |
Satisfaction ratings
What reviewers say
Auto-Scaling Spark with Faster Job Startup
“Don't have to manage or size clusters ourselves, it just scales as needed. Job startup is quicker than our old self-managed Spark setup too.”
Google Cloud Dataproc: One stop solution for all of your big-data-cluster needs
“1. idle cluster deletion helps save costs when cluster is not in use. 2. autoscaling handles peak time load efficiently. 3. GCP support team is helpful in any critical issues. 4. Java API support is great. Cluster creation, Data-ETL and cluster deletion can be done in a single”
A very powerful Hadoop Implementation without the fanfare of AWS EMR
“A great tool that maybe is not as popular as AWS EMR, but that punches above its weight. An elegant implementation.”