Category: RDS for PostgreSQL

PostgreSQL is a powerful open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. AWS offers Amazon Relational Database Service (Amazon RDS) and Amazon Aurora as fully managed relational database services. Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL-compatible edition makes […]

You may have a workload where you want to automate scaling, such as a reporting application with unpredictable increases in queries, or an application with database utilization increasing at predictable times like end-of-month reporting. Scaling a database to appropriately handle workload demand is important to help manage cost, operations, performance, security, and reliability. With Amazon […]

The structured data industry has been experiencing exponential data growth year by year. It’s important for the relational database users to get smart with its data storage footprint by understanding data relevance while keeping its business needs in mind. Data archive is the critical part of data management, as it enables us to keep business […]

Heterogeneous database migration is a multistage process, which usually includes assessment, database schema conversion, data migration, functional testing, performance tuning, and many other steps spanning across multiple teams. Migration from IBM Db2 LUW to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL is heterogeneous in nature, and traditionally follows similar […]

In this post, we present several bulk data loading strategies optimized for Amazon Relational Database Service (Amazon RDS) for PostgreSQL. Although general optimization guides for bulk data loading into PostgreSQL are widely available, we illustrate how to apply these strategies in an Amazon RDS for PostgreSQL context. First, a word of caution. No combination of […]

An Oracle-to-PostgreSQL migration in the AWS Cloud can be a multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. AWS offers services that make PostgreSQL database deployments easy to set up, manage, and scale for the cloud in a cost-efficient manner. These services are Amazon Relational Database Service (Amazon RDS) […]

In this post, we show you how to push a database DML (Data Manipulation Language) event from an Amazon Aurora PostgreSQL-Compatible Edition table out to downstream applications, by using a PostgreSQL database trigger, an AWS Lambda, and Amazon Simple Notification Service (Amazon SNS). Aurora PostgreSQL is a PostgreSQL-compatible relational database built for the cloud that […]

Modernizing database workloads and architecture is the optimal way to increase efficiencies and reduce licensing and infrastructure costs. To achieve this, you can use an Amazon Aurora relational database to break free from legacy database solutions. Several large-scale companies are migrating Oracle databases to Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora […]

December 2023: This post was reviewed and updated for accuracy. When you’re working as an application developer or database administrator, you often need to deal with SQL statements to explore your database for various reasons. You need to connect to the database to build or run the SQL code, generate reports, and diagnose application problem […]

Database migration is a sequence of steps from assessment through cutover. One of the key challenges that a migration engineer or an application team may face is validating the migrated database objects like tables, indexes, constraints, procedures, and functions. It is a time-consuming manual task to validate database objects during heterogeneous migration. You have to […]