Category: Advanced (300)

It’s important to be aware of the case sensitivity of text data in PostgreSQL when performing queries or comparisons to ensure that the results match your intended expectations. Case also affects how the database performs sorting operations. By default, PostgreSQL is case sensitive when sorting or comparing string values. For example, PostgreSQL considers “amazon” and […]

In this post, we show you how to set up cross-account logical replication using Amazon Aurora PostgreSQL-Compatible Edition. By leveraging Aurora’s cross-account clone and PostgreSQL logical replication, you can achieve near real-time synchronization between a source and a target database in different AWS accounts. You can customize the solution to meet specific requirements, including selective […]

Customers at times use proprietary database features like Microsoft SQL Server temporal tables or Oracle Flashback to store and query historical data from important tables or to record a change trail of contents. Temporal tables are a database feature that brings built-in support for providing information about data stored in the table at any point […]

In Amazon Relational Database Service (Amazon RDS), Multi-AZ deployments can have one or two standby DB instances. A Multi-AZ DB instance deployment has a single standby DB instance that provides failover support, but doesn’t serve read traffic. When the deployment has two readable standby DB instances, it’s called a Multi-AZ DB cluster deployment. A Multi-AZ […]

In this post, we show how you can migrate from Microsoft SQL Server to a Babelfish for Aurora PostgreSQL cluster with minimal downtime using AWS Database Migration Service (AWS DMS). Customers using Microsoft SQL Server may want to migrate to open-source databases like PostgreSQL; however, the significant effort to required migrate the application itself, including […]

January 2025: This post was reviewed for accuracy. Applications designed in the cloud need to be able to scale. For stateless resources like application servers, this is a straightforward task and can be achieved by simply adding additional compute resources behind a load balancer. For stateful resources such as databases, scaling can be more challenging. […]

Database audits are one of the important compliance requirements that organizations need to meet. You might be required to capture, store, and retain the audit data for the long term. You also need to meet your organization’s information security regulations and standards. In this post, we show you how to capture and store audit data […]

Amazon Relational Database Service (Amazon RDS) Custom for Oracle allows you to run Oracle databases on AWS, giving you some of the benefits of Amazon RDS automation and the freedom of changing configurations to match different use cases. You can customize your database, underlying server, and operating system configurations to accommodate the specific needs of […]

If you’re an architect tasked with designing a solution with complex data requirements, you may decide to adopt a multimodel approach, combining multiple data models, possibly spanning multiple database technologies. For each model, you choose the best technology for the purpose at hand. AWS offers 15+ purpose-built engines to support diverse data models, including relational, […]

March 2024: This post was reviewed and updated to include Amazon Bedrock models (Titan and Anthropic Claude). Generative AI – a category of artificial intelligence algorithms that can generate new content based on existing data — has been hailed as the next frontier for various industries, from tech to financial services, e-commerce and healthcare. And […]