Aurora DSQL launches new Python, Node.js, and JDBC Connectors that simplify IAM authorization

Today we are announcing the release of Aurora DSQL Connectors for Python, Node.js, and JDBC that simplify IAM authorization for customers using standard PostgreSQL drivers to connect to Aurora DSQL clusters. These connectors act as transparent authentication layers that automatically handle IAM token generation, eliminating the need to write token generation code or manually supply IAM tokens. The connectors work seamlessly with popular PostgreSQL drivers including psycopg and psycopg2 for Python, node-postgres and Postgres.js for Node.js, and the standard PostgreSQL JDBC driver, while supporting existing workflows, connection pooling libraries (including HikariCP for JDBC and built-in pooling for Node.js and Python), and frameworks like Spring Boot.

The Aurora DSQL Connectors streamline authentication and eliminate security risks associated with traditional user-generated passwords. By automatically generating IAM tokens for each connection using valid AWS credentials and the AWS SDK, the connectors ensure valid tokens are always used while maintaining full compatibility with existing PostgreSQL driver features.

The above connectors are available in all Regions where Aurora DSQL is available. To get started, visit the Connectors for Aurora DSQL documentation page. For code examples, visit our Github page for node-postgres, Postgres.js, psycopg and psycopg2, and JDBC. Get started with Aurora DSQL for free with the AWS Free Tier. To learn more about Aurora DSQL, visit the webpage.