AWS Database Blog
Author: Rinisha Marar
Achieve up to 1.7 times higher write throughput and 1.38 times better price performance with Amazon Aurora PostgreSQL on AWS Graviton4-based R8g instances
In this post, we demonstrate how upgrading to Graviton4-based R8g instances with Aurora PostgreSQL-Compatible 17.4 on Aurora I/O-Optimized cluster configuration can deliver significant price-performance gains – delivering up to 1.7 times higher write throughput, 1.38 times better price-performance and reducing commit latency by up to 46% on r8g.16xlarge instances and 38% on r8g.2xlarge instances as compared to Graviton2-based R6g instances.
Accelerate your generative AI application development with Amazon Bedrock Knowledge Bases Quick Create and Amazon Aurora Serverless
In this post, we look at two capabilities in Amazon Bedrock Knowledge Bases that make it easier to build RAG workflows with Amazon Aurora Serverless v2 as the vector store. The first capability helps you easily create an Aurora Serverless v2 knowledge base to use with Amazon Bedrock and the second capability enables you to automate deploying your RAG workflow across environments.
Introducing Amazon RDS Extended Support for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL 11
April, 2026: Aurora Serverless v2 has been renamed Aurora serverless. No action required. Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL major versions are supported at least until the community end-of-life for the corresponding community versions. When the community PostgreSQL major version reaches its end of life, no further updates, security […]