EDB Postgres AI Database vs. Spark SQL
A side-by-side comparison based on G2 review data.
| Metric | EDB Postgres AI Database | Spark SQL |
|---|---|---|
| Overall rating | 4.4 | 4.6 |
| Review count | 171 | 46 |
| Ease of use | 9.0 | 9.1 |
| Ease of setup | 8.8 | 9.0 |
| Quality of support | 9.2 | 8.6 |
| Meets requirements | 9.2 | 9.0 |
| NPS | 56.287425 | 69.565217 |
| Small Business | 28.9% | 26.1% |
| Mid-Market | 43.4% | 19.6% |
| Enterprise | 27.7% | 54.3% |
| Total page views | 1,101 | 35 |
| Total LLM citations | 185 | 20 |
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
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.