Spark SQL vs. Apache Calcite
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | Apache Calcite |
|---|---|---|
| Overall rating | 4.6 | 4.4 |
| Review count | 46 | 13 |
| Ease of use | 9.1 | 9.1 |
| Ease of setup | 9.0 | 9.4 |
| Quality of support | 8.6 | 8.3 |
| Meets requirements | 9.0 | 9.3 |
| NPS | 69.565217 | 61.538462 |
| Small Business | 26.1% | 15.4% |
| Mid-Market | 19.6% | 38.5% |
| Enterprise | 54.3% | 46.2% |
| Total page views | 35 | 28 |
| Total LLM citations | 20 | 13 |
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.
Apache Calcite
Apache Calcite is an open source framework for building databases and data management systems. It includes a SQL parser, an API for building expressions in relational algebra, and a query planning engine.