Spark SQL vs. dotConnect for MySQL
A side-by-side comparison based on G2 review data.
| Metric | Spark SQL | dotConnect for MySQL |
|---|---|---|
| Overall rating | 4.6 | 3.8 |
| Review count | 46 | 11 |
| Ease of use | 9.1 | 7.6 |
| Ease of setup | 9.0 | 7.9 |
| Quality of support | 8.6 | 8.4 |
| Meets requirements | 9.0 | 9.5 |
| NPS | 69.565217 | 0 |
| Small Business | 26.1% | 45.5% |
| Mid-Market | 19.6% | 36.4% |
| Enterprise | 54.3% | 18.2% |
| Total page views | 35 | 12 |
| Total LLM citations | 20 | 1 |
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 MySQL
dotConnect for MySQL is a high-performance ADO.NET data provider that grants simple access to MySQL and MariaDB databases when developing MySQL-based applications. It fully supports Entity Framework (EF Core), Dapper, and NHibernate, along with a wide range of MySQL-specific features, such as secure SSL and SSH connections, embedded servers, compression protocol, HTTP tunneling, and others. - Broad compatibility with various MySQL and MariaDB versions and .NET platforms - ORM support: EF Core, Dapper, NHibernate, LinqConnect, etc.