Google Cloud Managed Service for Apache Spark vs. Microsoft SQL Server
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Microsoft SQL Server |
|---|---|---|
| Overall rating | 4.3 | 4.4 |
| Review count | 18 | 2,289 |
| Ease of use | 9.0 | 8.8 |
| Ease of setup | 7.1 | 8.4 |
| Quality of support | 9.0 | 8.6 |
| Meets requirements | 8.8 | 9.2 |
| NPS | 68.75 | 57.082552 |
| Small Business | 27.8% | 18.7% |
| Mid-Market | 38.9% | 36.3% |
| Enterprise | 33.3% | 45.0% |
| Total page views | 126 | 1,482 |
| Total LLM citations | 544 | 2,771 |
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.
Microsoft SQL Server
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.
- Ease of Use
- Database Management
- Performance
- Easy Integrations
- Features
- Integrations