Spark SQL vs. Percona Server
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Percona Server |
|---|---|---|
| Overall rating | 4.6 | 4.9 |
| Review count | 46 | 14 |
| Ease of use | 9.1 | 9.6 |
| Ease of setup | 9.0 | 8.4 |
| Quality of support | 8.6 | 8.8 |
| Meets requirements | 9.0 | 9.2 |
| NPS | 69.565217 | 100 |
| Small Business | 26.1% | 42.9% |
| Mid-Market | 19.6% | 42.9% |
| Enterprise | 54.3% | 14.3% |
| Total page views | 35 | 54 |
| Total LLM citations | 20 | 124 |
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.
Percona Server
Percona Server for MySQL is a free, fully-compatible, enhanced, open-source drop-in replacement for MySQL. It provides superior performance, scalability, and instrumentation. With over 5,300,000 downloads, Percona Server’s self-tuning algorithms and support for extremely high-performance hardware delivers excellent performance and reliability Percona Server for MySQL delivers enterprise-grade features and higher uptime, along with a number of key benefits that improve database performance and efficiency.