Groovy provides several options for working with databases, including the use of Object-Relational Mapping (ORM) frameworks. Here are some ways to work with databases and ORMs in Groovy:
1. JDBC: Groovy provides a JDBC API, which allows you to interact with any database that has a JDBC driver. You can use JDBC to execute SQL statements, query databases, and perform other database operations.
2. GORM: GORM is a popular ORM framework for Groovy that provides an easy-to-use API for working with databases. GORM uses a convention-over-configuration approach, which means that you can focus on writing business logic, while the framework takes care of the database access. GORM supports several relational databases, including MySQL, PostgreSQL, and Oracle.
3. Groovy SQL: Groovy also provides a `Sql` class that simplifies database access using a Groovy-style API. The `Sql` class provides a DSL for constructing SQL statements, and also supports parameterized queries and transactions.
4. NoSQL databases: Groovy also provides support for NoSQL databases, such as MongoDB and Cassandra. You can use libraries such as the MongoDB driver for Java to interact with these databases from your Groovy code.
Overall, Groovy provides several options for working with databases, from low-level JDBC to high-level ORM frameworks like GORM. This flexibility makes it easier to choose the right tool for your project’s requirements.