AWS Database Blog

Category: Technical How-to

Enable change data capture on Amazon RDS for MySQL applications that are using XA transactions

XA transactions are not a very familiar concept to lots of people and therefore hardly used. An XA transaction is a two-phase commit protocol that supports distributed transactions that updates multiple relational databases. It involves a transaction manager that monitors this global transaction. XA makes sure that transactional updates are committed in all of the […]

Build resilient applications with Amazon DynamoDB global tables: Part 4

In the first three posts of this four-part series, you learned how the choice of zonal or Regional services impacts availability, and some important characteristics of Amazon DynamoDB when used in a multi-Region context with global tables. Part 1 also covered the motivation for using multiple Regions. Part 2 discussed some important characteristics of DynamoDB. […]

Build resilient applications with Amazon DynamoDB global tables: Part 3

In the first two posts of this four-part series, you learned how the choice of zonal or Regional services impacts availability and some important characteristics of Amazon DynamoDB when used in a multi-Region context with global tables. Part 1 also covered the motivation for using multiple AWS Regions. Part 2 discussed some important characteristics of […]

Build resilient applications with Amazon DynamoDB global tables: Part 2

In the first post of this series, you learned about the differences between zonal, Regional, and global services, and how they affect theoretical application availability. In this post, you’ll learn more about some important Amazon DynamoDB characteristics and how they impact multi-Region design. Properties of DynamoDB tables in a single Region DynamoDB is a NoSQL […]

Build resilient applications with Amazon DynamoDB global tables: Part 1

Customers that need to build resilient applications with the lowest possible recovery time objective (RTO) and recovery point objective (RPO) want to make the best use of AWS global infrastructure to support their resilience goals. Building an application using multiple Availability Zones in a single AWS Region can provide high levels of availability, but you […]

Migrate Google Cloud for MySQL to Amazon Aurora MySQL using AWS DMS

AWS recently added Google Cloud for MySQL as a source to AWS Data Migration Service (AWS DMS) for MySQL 8.0 and newer. In this post, we demonstrate how you can migrate from Google Cloud for MySQL to Amazon Aurora MySQL-Compatible Edition in an automated way and minimize downtime using AWS DMS. As of this writing, […]

Migrate Oracle’s XMLDOM package functions to Amazon Aurora PostgreSQL using JSON format

Migrating from Oracle to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL may be challenging if the application is using the DBMS_XMLDOM package to access XML type objects. This is because the DBMS_XMLDOM package isn’t supported in Aurora PostgreSQL or Amazon RDS for PostgreSQL. Moreover, converting procedures to Aurora PostgreSQL […]

Use a self-hosted Active Directory with Amazon RDS Custom for SQL Server

Applications utilizing SQL Server can take advantage of integration with Active Directory (AD) and use Windows Authentication. This allows database access to be controlled at the domain level and can simplify account administration. Amazon Relational Database Service (Amazon RDS) for SQL Server supports using AWS Directory Service for Microsoft Active Directory for Windows Authentication, and […]

Automated testing of Amazon Neptune data access with Apache TinkerPop Gremlin

December 2024: This post was reviewed for accuracy. Amazon Neptune, a fully managed graph database, is purpose built to work with highly connected data such as relationships between customers and products, or between pieces of equipment within a complex industrial plant. Neptune is designed to support highly concurrent online transaction processing (OLTP) over graph data […]

Build a CQRS event store with Amazon DynamoDB

The command query responsibility segregation (CQRS) pattern, derived from the principle of command-query separation, has been popularized by the domain-driven design community. CQRS architectures that use event sourcing save generated events in an append-only log called an event store. By using event sourcing, you can, among other benefits: Design applications to update a database and […]