Category: PostgreSQL compatible

As we continue to innovate and add new features on behalf of our customers, you can now maintain and manage query plans in Amazon Aurora PostgreSQL-Compatible Edition. This feature enables you to identify the query plans contributing to the current database load and track the performance statistics of query plans over time. In this post, […]

At Amazon Web Services (AWS), we have been making steady progress towards bringing our zero-extract, transform, and load (ETL) vision to life. With Amazon Aurora zero-ETL integration to Amazon Redshift, you can bring together the transactional data of Amazon Aurora with the analytics capabilities of Amazon Redshift. The integration helps you derive holistic insights across […]

In this post, we show you how to replicate data between partitioned and non-partitioned tables using trigger functions in Amazon Aurora PostgreSQL-Compatible Edition. The solution also works with Amazon Relational Database Service (Amazon RDS) for PostgreSQL. Customers often decide to migrate partial applications and their associated database objects to AWS, which requires synchronizing data from […]

One critical aspect during the migration process from Oracle to PostgreSQL is identifying any semantic issues that may arise when translating Oracle-specific code to PostgreSQL. Although Oracle performs both semantic and syntax checks during code compilation, PostgreSQL focuses solely on syntax checks during code compilation, leaving room for potential semantic discrepancies in the converted code […]

In recent times, there has been a growing interest in using foundation models (FMs) to build generative AI applications. These models are trained on vast amounts of data and are capable of performing tasks that were previously thought to be the exclusive domain of humans, such as creating art and music. However, when it comes […]

Generative AI has increased the possibilities for businesses to build applications that require searching and comparison of unstructured data types such as text, images, and video. Embeddings, or vectors, capture the meaning and context of this unstructured data in a machine-readable form, which is the basis for how similarity comparisons can be made directly in […]

Migrating from Oracle to PostgreSQL can involve several steps to ensure a smooth transition. A notable example is an Oracle collection, which is a feature that Oracle database developers commonly use. PostgreSQL does not directly support Oracle collections, and there currently isn’t an extension that adds this capability. There are several decisions you have to […]

PostgreSQL has become the preferred open-source relational database for many enterprise companies and startups, powering leading business and mobile applications. Many customers choose PostgreSQL as the target database when migrating from commercial engines such as Oracle and Microsoft SQL Server. AWS offers Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition […]

Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL version 11 end of standard support is February 29, 2024. See the Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL announcements to upgrade your databases: Announcement: Amazon Aurora PostgreSQL 11.x end of support is February 29, 2024 Amazon RDS for PostgreSQL 11 […]

In a relational database management system, a unique key is a set of one or more attributes (columns) that uniquely identifies each row in a table. It ensures that no two rows in the table can have the same values for the specified attributes. The following are the features of a unique key: Uniqueness – […]