Spark SQL vs. dotConnect Universal
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | dotConnect Universal |
|---|---|---|
| Overall rating | 4.6 | 4.1 |
| Review count | 46 | 19 |
| Ease of use | 9.1 | 8.9 |
| Ease of setup | 9.0 | 8.9 |
| Quality of support | 8.6 | 8.4 |
| Meets requirements | 9.0 | 9.0 |
| NPS | 69.565217 | 38.888889 |
| Small Business | 26.1% | 36.8% |
| Mid-Market | 19.6% | 21.1% |
| Enterprise | 54.3% | 42.1% |
| Total page views | 35 | 24 |
| Total LLM citations | 20 | 2 |
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 Universal
dotConnect Universal offers universal access to data of different databases for the Microsoft .NET Framework. It supports most of major database servers, including Microsoft SQL Server, Microsoft Access, Oracle, DB2, MySQL, PostgreSQL, SQLite, InterBase, and Firebird. Other servers can be accessed through their ADO.NET, OLE DB and ODBC providers.