Category: PostgreSQL compatible

June 2023: For Aurora databases where IO is greater than 25% of your costs, check out this blog post and recent announcement to see if you can save money with Aurora I/O-Optimized. Cost reduction is one of the biggest drivers for many IT departments to explore migration of on-premises workloads to the cloud. This post […]

January 2024: This post was reviewed and updated for accuracy. PostgreSQL is one of the most popular open-source relational database systems. The product of 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. PostgreSQL is considered […]

This blog post is the second in a series. The previous blog post talks about the need for the stable, consistent database performance amid changes that otherwise can cause regression on execution plans of the SQL statements. It also demonstrates how query plan management (QPM) for Amazon Aurora with PostgreSQL compatibility helps you overcome plan […]

Like all AWS services, the roadmap for Amazon Aurora PostgreSQL is driven mostly by customer feedback and requests for product enhancement. The feedback from several enterprise customers who have migrated their databases from Oracle and Microsoft SQL Server to Amazon Aurora suggests two things. Enterprises that run their database workloads for critical applications require optimal […]

July 2023: This post was reviewed for accuracy. PostgreSQL is one of the most 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. PostgreSQL is considered to be the primary […]

Companies are experiencing exponential data growth year-over-year. Scaling the databases and the hardware infrastructure to keep up is becoming more and more challenging. If your workloads just are not suitable for non-relational data stores, how do you overcome the scaling challenges without spending tons of money in managing the underlying infrastructure? Amazon RDS for PostgreSQL and Amazon […]

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. This blog series covers the environment and configuration setups for your source Oracle database, the AWS Database Migration (AWS DMS) service, and the target PostgreSQL […]

July 2023: This post was reviewed for accuracy. Migrating and operating a database includes layers of complexity and thorough planning. Amazon RDS for PostgreSQL and Amazon Aurora with PostgreSQL compatibility can help you manage a variety of use cases. While migrating from Oracle to PostgreSQL, it’s very common to come across Oracle Autonomous Transactions. This […]

If you’re migrating from Microsoft SQL Server to Amazon Aurora PostgreSQL, you might have discovered that the SQL agent jobs cannot be easily moved. The job agent tools are not supported for Aurora PostgreSQL. You can overcome this limitation though, by using AWS Step Functions to replace a SQL agent job. In this blog post […]

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The future is not far away, and thanks to AWS and Amazon Aurora PostgreSQL, our company has been able to build an infrastructure that scales to meet our customers’ demands. AWS Database Migration Service (AWS DMS) made our transition to Aurora PostgreSQL a seamless experience for both our customers and our software developers, while minimizing the risk. We used AWS DMS to fully migrate 700+ instances of Microsoft SQL Server to Aurora PostgreSQL. In addition, Amazon RDS Performance Insights now gives us excellent visibility into our database layer and allows us to respond quickly to any abnormalities.