Google Cloud Managed Service for Apache Spark vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 18 | 1,223 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 7.1 | 8.9 |
| Quality of support | 9.0 | 8.6 |
| Meets requirements | 8.8 | 9.0 |
| NPS | 68.75 | 67.744755 |
| Small Business | 27.8% | 27.7% |
| Mid-Market | 38.9% | 34.3% |
| Enterprise | 33.3% | 38.1% |
| Total page views | 126 | 5,950 |
| Total LLM citations | 544 | 27,007 |
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.
Google Cloud BigQuery
BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.
- Ease of Use
- Speed
- Integrations
- Fast Querying
- Query Efficiency
- Scalability