Spark SQL vs. Azure SQL Database
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Azure SQL Database |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 46 | 242 |
| Ease of use | 9.1 | 9.0 |
| Ease of setup | 9.0 | 8.9 |
| Quality of support | 8.6 | 9.0 |
| Meets requirements | 9.0 | 9.2 |
| NPS | 69.565217 | 66.094421 |
| Small Business | 26.1% | 26.7% |
| Mid-Market | 19.6% | 32.9% |
| Enterprise | 54.3% | 40.4% |
| Total page views | 35 | 357 |
| Total LLM citations | 20 | 1,499 |
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.
Azure SQL Database
Azure SQL Database is a fully managed, intelligent relational database service built on the Microsoft SQL Server engine, designed to support modern cloud applications. It offers scalability, high availability, and robust security features, enabling developers to build and maintain applications without the complexities of infrastructure management. Key Features and Functionality: - Hyperscale Storage: Rapidly scale storage resources to meet demand, supporting large databases with up to 100 TB capacity.
- Scalability
- Integrations
- Ease of Use
- Security
- Easy Integrations
- Features