Spark SQL vs. EDB Postgres AI Database
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | EDB Postgres AI Database |
|---|---|---|
| Overall rating | 4.6 | 4.4 |
| Review count | 46 | 171 |
| Ease of use | 9.1 | 9.0 |
| Ease of setup | 9.0 | 8.8 |
| Quality of support | 8.6 | 9.2 |
| Meets requirements | 9.0 | 9.2 |
| NPS | 69.565217 | 56.287425 |
| Small Business | 26.1% | 28.9% |
| Mid-Market | 19.6% | 43.4% |
| Enterprise | 54.3% | 27.7% |
| Total page views | 35 | 1,101 |
| Total LLM citations | 20 | 185 |
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.
EDB Postgres AI Database
EDB delivers an always-on, multi-model Postgres engine built on open source and extended with the enterprise capabilities that mission-critical workloads demand. It powers transactional, analytical, and AI workloads with support for relational, vector, document, and time-series data, so teams work with one engine and one set of Postgres skills instead of maintaining specialized systems for each data type.
- Customer Support
- Performance
- Migration Ease
- Data Security
- Security
- Compatibility