AWS Database Blog

AWS re:Invent 2022 is almost here! This post includes a complete list of sessions dedicated to Amazon DynamoDB at re:Invent, November 28 through December 2, 2022. Use the information on this page to help schedule your conference week in Las Vegas this year. Keynotes and leadership sessions Swami Sivasubramanian, Vice President of AWS Data and […]

PostgreSQL is one of the most popular open-source relational database systems. AWS offers services that make PostgreSQL database deployments easy to set up, manage, and scale in a cost-efficient manner. These services are Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition. Optimizing database performance is an important task for DevOps […]

In this post, we demonstrate how to use the AWS Command Line Interface (AWS CLI) and jq (a JSON processor) to back up AWS Database Migration Service (AWS DMS) task settings and other artifacts to a file. This backup file could be modified (if required) and reused to setup a new AWS DMS task. One […]

Amazon DynamoDB is a fully managed and serverless NoSQL cloud database service that provides consistent performance at any scale, with zero-downtime for maintenance or scaling. While there is a maximum item size of 400 KB (inclusive of both attribute names and values), you can use a technique called vertical partitioning to scale your data beyond […]

The AWS Schema Conversion Tool (AWS SCT) makes heterogeneous database migrations predictable by automatically converting the source database schema and a majority of the database code objects, including views, stored procedures, and functions, to a format compatible with the target database. An important part of the AWS SCT is the assessment reports to help you […]

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical MongoDB workloads. When interfacing with a document database such as Amazon DocumentDB, developers need an environment to test and debug their applications. In this post, we cover how to connect to your Amazon DocumentDB resources from outside […]

August 2023: This post was reviewed and updated to include section for Transparent Data Encryption. Starting today, you can now create cross-Region read replicas with Amazon Relational Database Service (Amazon RDS) for SQL Server. This feature gives you the ability to deploy a read-only DB instance in a secondary AWS Region. With cross-Region read replica, […]

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports the Oracle database engine as an external data source to implement heterogeneous linked server configuration and run distributed queries. With this feature, you can now create a linked server configuration between Amazon RDS for SQL Server and an Oracle database instance running in your […]

At times you may need to migrate your workloads from one AWS Region to another Region. In this post, we highlight best practices for cross-Region migration of Amazon Relational Database Service (Amazon RDS) and Amazon Aurora . We provide prescriptive guidance on migration of various components related to the RDS databases. We also discuss the […]

Customers migrate their mission-critical legacy on-premises databases based on IBM Db2 for z/OS to Amazon Relational Database Service (Amazon RDS) for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition for its scalability, performance, agility and availability. In heterogeneous database migrations, not all features in the source database are supported or available in the target database. One such […]