AWS Database Blog
Category: RDS for PostgreSQL
Understanding autovacuum in Amazon RDS for PostgreSQL environments
August 2025: This post was reviewed and updated for accuracy. PostgreSQL has become the preferred open-source relational database for many enterprise developers and startups, and powers leading business and mobile applications. Amazon Web Services (AWS) offers Amazon Relational Database Service (Amazon RDS) and Amazon Aurora as fully managed relational database services. Amazon RDS for PostgreSQL […]
Managing inactive Amazon Aurora PostgreSQL users
July 2023: This post was reviewed for accuracy. Data is one of the most precious assets for any organization, and keeping data secure is always the top priority. One common security requirement for databases is to restrict user access—if a database user is compromised, it can cause significant damage to your data. You should follow […]
Best practices for Amazon RDS for PostgreSQL cross-Region read replicas
October 2023: This post was reviewed and updated for accuracy. One of the managed service offerings of Amazon RDS for PostgreSQL is cross-Region read replicas. Cross-Region read replicas enable you to have a disaster recovery solution, scaling read database workload, and cross-Region migration. You can create a cross-Region read replica by using the Amazon RDS […]
Migrating PostgreSQL from on-premises or Amazon EC2 to Amazon RDS using logical replication
PostgreSQL is one of the most advanced popular open-source relational database systems. With more than 30 years of development work, PostgreSQL has proven to be a highly reliable and robust database that can handle a large number of complicated data workloads. For many, PostgreSQL is the open-source database of choice when migrating from commercial databases […]
Building fast refresh capability in Amazon RDS for PostgreSQL
This post is a guest post by CDL. In their own words, CDL is a “leading insurtech company based in the UK, featured in the Financial Times Future 100 listing of high-growth UK companies making an impact on their industry. It has a strong track record in the insurance and financial services sectors, with its solutions […]
Multi-tenant data isolation with PostgreSQL Row Level Security
Isolating tenant data is a fundamental responsibility for Software as a Service (SaaS) providers. If one of your tenants gains access to another tenant’s data, you lose trust and may permanently damage your brand or worse, lose your business. With the risks so great, it is critical to have an effective data isolation plan. […]
Common administrator responsibilities on Amazon RDS and Amazon Aurora for PostgreSQL databases
Amazon Web Services (AWS) offers Amazon Relational Database Service (RDS) and Amazon Aurora as fully managed relational database services. With a few commands, you can have your production database instance up and running on AWS. An online database frees the database administrator (DBA) from many maintenance and management tasks. However, there are a few significant […]
Converting the SYSDATE function from Oracle to PostgreSQL
July 2023: This post was reviewed for accuracy. An Oracle to PostgreSQL migration in the AWS Cloud can be a complex, multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. For more information about the migration process, see Database Migration—What Do You Need to Know Before You […]
Recap of Amazon RDS and Aurora features launched in 2019
Updated 04/2022 to reflect product changes. Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity. At the same time, it automates time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups. It frees you to […]
PostgreSQL 12 – A deep dive into some new functionality
The PostgreSQL community continues its consistent cadence of yearly major releases with PostgreSQL 12. PostgreSQL 12 introduces features opening up new development opportunities while simplifying the management of some already robust capabilities, such as new ways to query JSON data, enhancements to indexes, and better performance with partitioned tables. In this post, I take a […]




