Apache Spark for Azure HDInsight vs. Microsoft SQL Server
A side-by-side comparison based on G2 review data.
| Metric | Apache Spark for Azure HDInsight | Microsoft SQL Server |
|---|---|---|
| Overall rating | 4.1 | 4.4 |
| Review count | 13 | 2,289 |
| Ease of use | 8.8 | 8.8 |
| Ease of setup | 8.9 | 8.4 |
| Quality of support | 8.7 | 8.6 |
| Meets requirements | 8.7 | 9.2 |
| NPS | 30.769231 | 57.082552 |
| Small Business | 16.7% | 18.7% |
| Mid-Market | 58.3% | 36.3% |
| Enterprise | 25.0% | 45.0% |
| Total page views | 105 | 1,482 |
| Total LLM citations | 29 | 2,771 |
Apache Spark for Azure HDInsight
Apache Spark for Azure HDInsight is an open source processing framework that runs large-scale data analytics applications.
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