Google Cloud Managed Service for Apache Spark vs. Dremio
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Dremio |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 18 | 71 |
| Ease of use | 9.0 | 9.3 |
| Ease of setup | 7.1 | 8.7 |
| Quality of support | 9.0 | 8.8 |
| Meets requirements | 8.8 | 8.9 |
| NPS | 68.75 | 76.923077 |
| Small Business | 27.8% | 11.3% |
| Mid-Market | 38.9% | 39.4% |
| Enterprise | 33.3% | 49.3% |
| Total page views | 126 | 429 |
| Total LLM citations | 544 | 2,089 |
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.
Dremio
Dremio is the pioneer of The Agentic Lakehouse—the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed—Dremio delivers this agility by equipping AI agents with federated data access, unstructured data processing, and rich business context through its AI Semantic Layer. In the agentic-era, data engineering teams can’t manually tune performance for thousands of users and agents asking unpredictable questions every second.
- Ease of Use
- Integrations
- SQL Support
- Performance
- Setup Ease
- Speed