Working with Amazon Aurora PostgreSQL
Amazon Aurora PostgreSQL is a fully managed, PostgreSQL–compatible, and ACID–compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases. Aurora PostgreSQL is a drop-in replacement for PostgreSQL and makes it simple and cost-effective to set up, operate, and scale your new and existing PostgreSQL deployments, thus freeing you to focus on your business and applications. To learn more about Aurora in general, see What is Amazon Aurora?.
In addition to the benefits of Aurora, Aurora PostgreSQL offers a convenient migration pathway from Amazon RDS into Aurora, with push-button migration tools that convert your existing RDS for PostgreSQL applications to Aurora PostgreSQL. Routine database tasks such as provisioning, patching, backup, recovery, failure detection, and repair are also easy to manage with Aurora PostgreSQL.
Aurora PostgreSQL can work with many industry standards. For example, you can use Aurora PostgreSQL databases to build HIPAA-compliant applications and to store healthcare related information, including protected health information (PHI), under a completed Business Associate Agreement (BAA) with Amazon.
Aurora PostgreSQL is FedRAMP HIGH eligible. For details about Amazon and compliance efforts,
see Amazon services in scope by
compliance program
Topics
- Security with Amazon Aurora PostgreSQL
- Updating applications to connect to Aurora PostgreSQL DB clusters using new SSL/TLS certificates
- Using Kerberos authentication with Aurora PostgreSQL
- Migrating data to Amazon Aurora with PostgreSQL compatibility
- Using Babelfish for Aurora PostgreSQL
- Managing Amazon Aurora PostgreSQL
- Tuning with wait events for Aurora PostgreSQL
- Tuning Aurora PostgreSQL with Amazon DevOps Guru proactive insights
- Best practices with Amazon Aurora PostgreSQL
- Replication with Amazon Aurora PostgreSQL
- Integrating Amazon Aurora PostgreSQL with other Amazon services
- Managing query execution plans for Aurora PostgreSQL
- Working with extensions and foreign data wrappers
- Working with Trusted Language Extensions for PostgreSQL
- Amazon Aurora PostgreSQL reference
- Amazon Aurora PostgreSQL updates