Google Cloud Managed Service for Apache Spark vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Databricks |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 18 | 1,388 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 7.1 | 8.7 |
| Quality of support | 9.0 | 8.9 |
| Meets requirements | 8.8 | 9.1 |
| NPS | 68.75 | 77.851361 |
| Small Business | 27.8% | 15.1% |
| Mid-Market | 38.9% | 37.6% |
| Enterprise | 33.3% | 47.2% |
| Total page views | 126 | 16,340 |
| Total LLM citations | 544 | 14,031 |
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.
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations