Amazon Aurora PostgreSQL Limitless Database now supports PostgreSQL 16.9
Amazon Aurora PostgreSQL Limitless Database is now available with PostgreSQL version 16.9 compatibility. This release contains product improvements and bug fixes made by the PostgreSQL community, along with Aurora Limitless-specific additions such as support for the hstore extension, the auto_explain extension, and various performance improvements. The hstore extension allows for storing sets of key/value pairs within a single PostgreSQL value, while the auto-explain extension logs execution plans of slow statements automatically.
Aurora PostgreSQL Limitless Database makes it easy for you to scale your relational database workloads by providing a serverless endpoint that automatically distributes data and queries across multiple Amazon Aurora Serverless instances while maintaining the transactional consistency of a single database. Aurora PostgreSQL Limitless Database offers capabilities such as distributed query planning and transaction management, removing the need for you to create custom solutions or manage multiple databases to scale. As your workloads increase, Aurora PostgreSQL Limitless Database adds compute resources while staying within your specified budget, so there is no need to provision for peak, and compute automatically scales down when demand is low.
Aurora PostgreSQL Limitless Database is available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Africa (Cape Town), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, Mumbai, Osaka, Seoul, Singapore, Sydney, Thailand, Tokyo), Canada (Central), Canada West (Calgary), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), Israel (Tel Aviv), Mexico (Central), Middle East (Bahrain, UAE), and South America (Sao Paulo).
For pricing details, visit Amazon Aurora pricing. To learn more, read the Aurora PostgreSQL Limitless Database documentation and get started by creating an Aurora PostgreSQL Limitless Database in only a few steps in the Amazon RDS console.