AWS Database Blog

We’re excited to announce that AWS Database Migration Service (AWS DMS) now supports Amazon Relational Database Service (Amazon RDS) for Db2 as a target endpoint. This development simplifies the process of migrating self-managed Db2 workloads to Amazon RDS for Db2, a managed service designed to ease the setup, operation, and scaling of Db2 databases in […]

Migrating databases from Oracle to either Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL presents a unique challenge when migrating JSON data. Oracle CLOB data type can contain both well-formed and invalid JSON, whereas the PostgreSQL JSON and JSONB data type requires JSON data to be correctly formatted according to […]

Organizations require systems and mechanisms in place to gather and analyze large amounts of data as it is created, in order to get insights and respond in real time. Stream processing data technologies enable organizations to ingest data as it is created, process it, and analyze it as soon as it is accessible. In this […]

This post was co-written with Rajesh Saluja, Principal Engineer at Intuit. Intuit is the global financial technology environment that powers prosperity for 100 million consumer and small business customers with TurboTax, Credit Karma, QuickBooks, and Mailchimp. Intuit has built on AWS since 2013 and has taken an “all-in” approach in its move to the cloud. […]

This is a guest blog post by Oliver Jägle, Software Architect at DB Curbside Management, in partnership with AWS Senior Solutions Architect Ben Freiberg. Have you ever rented a scooter or a bicycle instead of walking or taking a bus? You’re not alone. More and more people around the globe have adopted this sort of […]

Amazon DynamoDB offers high scalability and performance for applications with varying workloads. While DynamoDB excels at efficiently distributing data across multiple partitions, it inherently follows a specific sorting order based on the schema selected. In this post, we show two example data models, one designed to store e-commerce order information and one to store game […]

In this post, we demonstrate how to build a mechanism to automate the detection of sensitive data, in particular personally identifiable information (PII), in your relational database. PII is information connected to an individual and can be used to identify them. Handling PII data in a relational database, such as Amazon Aurora, requires planning and […]

The typical migration process for an Oracle database to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL requires both automated and manual procedures. The AWS Schema Conversion Tool (AWS SCT) can handle the automated duties of schema conversion. For specific database objects that can’t be automatically migrated, the manual duties […]

This is the first post of a two-part series. In this post, we discuss how to migrate SQL Server indexed views to materialized views in Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL. The second post in this series will walk you through the migration of SQL Server indexed views […]

PostgreSQL is considered one of the top database choices when customers migrate from commercial databases such as Oracle or SQL Server. AWS provides two managed PostgreSQL options: Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition. Moving from Oracle to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition can require […]