Spark SQL vs. Microsoft SQL Server
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Microsoft SQL Server |
|---|---|---|
| Overall rating | 4.6 | 4.4 |
| Review count | 46 | 2,289 |
| Ease of use | 9.1 | 8.8 |
| Ease of setup | 9.0 | 8.4 |
| Quality of support | 8.6 | 8.6 |
| Meets requirements | 9.0 | 9.2 |
| NPS | 69.565217 | 57.082552 |
| Small Business | 26.1% | 18.7% |
| Mid-Market | 19.6% | 36.3% |
| Enterprise | 54.3% | 45.0% |
| Total page views | 35 | 1,482 |
| Total LLM citations | 20 | 2,771 |
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.
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