Spark SQL vs. dotConnect for PostgreSQL
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | dotConnect for PostgreSQL |
|---|---|---|
| Overall rating | 4.6 | 3.7 |
| Review count | 46 | 18 |
| Ease of use | 9.1 | 8.7 |
| Ease of setup | 9.0 | 8.6 |
| Quality of support | 8.6 | 7.7 |
| Meets requirements | 9.0 | 8.8 |
| NPS | 69.565217 | 16.666667 |
| Small Business | 26.1% | 44.4% |
| Mid-Market | 19.6% | 38.9% |
| Enterprise | 54.3% | 16.7% |
| Total page views | 35 | 26 |
| Total LLM citations | 20 | 4 |
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.
dotConnect for PostgreSQL
dotConnect for PostgreSQL is a high-performance ADO.NET data provider that grants simple access to PostgreSQL databases when developing PostgreSQL-based applications. It fully supports Entity Framework (EF Core), Dapper, and NHibernate, along with a wide range of PostgreSQL-specific features, such as secure SSL connections, PostgreSQL notifications, PostgreSQL bulk data loading, GEOMETRY, PostgreSQL ARRAY types, and others.