Spark SQL vs. SingleStore
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | SingleStore |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 46 | 118 |
| Ease of use | 9.1 | 8.8 |
| Ease of setup | 9.0 | 8.6 |
| Quality of support | 8.6 | 8.9 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 69.565217 | 68.421053 |
| Small Business | 26.1% | 36.4% |
| Mid-Market | 19.6% | 24.6% |
| Enterprise | 54.3% | 39.0% |
| Total page views | 35 | 268 |
| Total LLM citations | 20 | 928 |
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.
SingleStore
SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads — all in one unified platform.