Spark SQL vs. Google Cloud SQL
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Google Cloud SQL |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 46 | 367 |
| Ease of use | 9.1 | 9.3 |
| Ease of setup | 9.0 | 9.3 |
| Quality of support | 8.6 | 8.9 |
| Meets requirements | 9.0 | 9.2 |
| NPS | 69.565217 | 69.859155 |
| Small Business | 26.1% | 33.2% |
| Mid-Market | 19.6% | 40.4% |
| Enterprise | 54.3% | 26.4% |
| Total page views | 35 | 820 |
| Total LLM citations | 20 | 17,069 |
Spark SQL
Spark SQL lets you query structured data inside Spark programs, using either SQL or a familiar DataFrame API. Usable in Java, Scala, Python and R.
Google Cloud SQL
Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.
- Database Management
- Integrations
- Easy Integrations
- Ease of Use
- Scalability
- Features