Spark SQL vs. Citus Data
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Citus Data |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 46 | 10 |
| Ease of use | 9.1 | 8.2 |
| Ease of setup | 9.0 | 7.1 |
| Quality of support | 8.6 | 9.2 |
| Meets requirements | 9.0 | 8.6 |
| NPS | 69.565217 | 40 |
| Small Business | 26.1% | 10.0% |
| Mid-Market | 19.6% | 20.0% |
| Enterprise | 54.3% | 70.0% |
| Total page views | 35 | 47 |
| Total LLM citations | 20 | 41 |
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.
Citus Data
Citus Data horizontally scales PostgreSQL, taking relational power further for real-time data.