Spark SQL vs. EDB Postgres Advanced Server
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | EDB Postgres Advanced Server |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 46 | 38 |
| Ease of use | 9.1 | 9.1 |
| Ease of setup | 9.0 | 9.1 |
| Quality of support | 8.6 | 9.3 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 69.565217 | 57.142857 |
| Small Business | 26.1% | 10.5% |
| Mid-Market | 19.6% | 26.3% |
| Enterprise | 54.3% | 63.2% |
| Total page views | 35 | 240 |
| Total LLM citations | 20 | 588 |
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 Advanced Server
EDB Postgres Advanced Server (EPAS) is based on open source PostgreSQL, the world's most advanced open-source database management system. EPAS gives you the best of both worlds - all the advantages of PostgreSQL, enhanced with mission-critical features that help you maintain greater consistency across your PostgreSQL deployments. EDB Postgres Advanced Server extends PostgreSQL with the security and performance features that enterprises need. It is also Oracle compatible.
- Features
- Customer Support
- Reliability
- Data Analytics
- Quality Improvement
- High Performance