Amazon Aurora DSQL cluster connectivity tools
Aurora DSQL is compatible with many third-party database drivers and ORM libraries. AWS provides two types of tools to simplify working with Aurora DSQL:
-
Connectors – Authentication plugins that extend database drivers to handle IAM token generation automatically. Use connectors when working directly with database drivers.
-
Adapters and dialects – Extensions for specific ORM frameworks that provide IAM authentication and improved Aurora DSQL compatibility. Use adapters when working with a supported ORM framework.
Aurora DSQL adapters and dialects
The following table shows the available adapters and dialects for Aurora DSQL.
| Programming language | ORM/Framework | Repository link |
|---|---|---|
| Java | Hibernate | https://github.com/awslabs/aurora-dsql-orms/tree/main/java/hibernate |
| Python | Django | https://github.com/awslabs/aurora-dsql-orms/tree/main/python/django |
| Python | SQLAlchemy | https://github.com/awslabs/aurora-dsql-orms/tree/main/python/sqlalchemy |
| Python | Tortoise ORM | https://github.com/awslabs/aurora-dsql-orms/tree/main/python/tortoise-orm |
Database driver samples
The following table shows sample code for connecting to Aurora DSQL using third-party database drivers.
ORM and framework samples
The following table shows sample code for using third-party ORM libraries and frameworks with Aurora DSQL.
