Spark SQL vs. MariaDB
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | MariaDB |
|---|---|---|
| Overall rating | 4.6 | 4.4 |
| Review count | 46 | 226 |
| Ease of use | 9.1 | 9.0 |
| Ease of setup | 9.0 | 8.9 |
| Quality of support | 8.6 | 8.2 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 69.565217 | 61.187215 |
| Small Business | 26.1% | 41.3% |
| Mid-Market | 19.6% | 30.7% |
| Enterprise | 54.3% | 28.0% |
| Total page views | 35 | 289 |
| Total LLM citations | 20 | 1,220 |
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.
MariaDB
MariaDB frees companies from the costs, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, customer-facing applications. MariaDB uses pluggable, purpose-built storage engines to support workloads that previously required a variety of specialized databases. With complexity and constraints eliminated, enterprises can now depend on a single complete database for all their needs, whether on commodity hardware or their cloud of choice.
- Ease of Use
- Easy Integrations
- Query Speed
- Cost Efficiency
- Backup Services
- Performance