AWS Database Blog
Getting started with Change Data Capture in Amazon Aurora DSQL
In this post, we demonstrate how to configure Aurora DSQL Change Data Capture and stream database changes into Kinesis Data Streams. You will learn how CDC works, how to configure a streaming pipeline, and how to consume change events. By the end of this post, you will have a working CDC pipeline that streams database changes into a durable event stream that downstream applications can process.
Amazon Aurora MySQL zero-ETL integration with Amazon SageMaker Lakehouse
In this post, we explore how zero-ETL integration works, the key benefits it delivers for data-driven teams, and how it aligns with the broader zero-ETL strategy in AWS services. You’ll learn how this integration can enhance your data workflows, whether you’re building predictive models, entering interactive SQL queries, or visualizing business trends. By eliminating traditional extract, transform, and load (ETL) processes, this solution enables real-time intelligence securely and at scale to help you make faster, data-driven decisions.
Introducing Amazon RDS Extended Support for MySQL databases on Amazon Aurora and Amazon RDS
April, 2026: Aurora Serverless v2 has been renamed Aurora serverless. No action required. With the upcoming end-of-life of MySQL Community Version v5.7 in October 2023 (Page 24), Amazon Web Services (AWS) is actively preparing for this important transition. When MySQL 5.7 reaches community end of life, no further updates, bug fixes, or security patches will […]
Data consolidation for analytical applications using logical replication for Amazon RDS Multi-AZ clusters
Amazon Relational Database Service (Amazon RDS) Multi-AZ deployments provide enhanced availability and durability for your RDS database instances. You can deploy highly available, durable PostgreSQL databases in three Availability Zones using Amazon RDS Multi-AZ DB cluster deployments with two readable standby DB instances. With a Multi-AZ DB cluster, applications gain automatic failovers in typically under […]
Increase write throughput on Amazon RDS for MariaDB using the MyRocks storage engine
In 2022, Amazon Relational Database Service (Amazon RDS) for MariaDB introduced several new features to enhance the performance, scalability, reliability, and manageability of your workloads, including the MyRocks storage engine, AWS Identity and Access Management (IAM) integration, delayed replication, and multi-major upgrades. Open-source database engines like MySQL and MariaDB implement a pluggable storage engine architecture. […]
Upgrading from Amazon RDS for MariaDB version 10.2
Amazon Relational Database Service (Amazon RDS) for MariaDB 10.2 major version is reaching end of life (EOL) on October 15, 2022. The end-of-life process ends standard support for this version. We recommend that you upgrade all MariaDB 10.2 DB instances to MariaDB 10.3 or higher as soon as possible. Amazon Relational Database Service (Amazon RDS) […]
Readable standby instances in Amazon RDS Multi-AZ deployments: A new high availability option
Amazon RDS Multi-AZ deployments are ideal for production database workloads. When you have Multi-AZ deployment, Amazon Relational Database Service (Amazon RDS) provisions one primary and one standby DB instance with synchronous physical replication of Amazon Elastic Block Store (Amazon EBS) storage for high availability and failover without data loss. However, you can’t read from the […]
Migrating to Amazon Aurora MySQL with fallback option using GTID-based replication
When migrating production applications, it is often important to have a fallback option. This blog post demonstrates how to use global transaction identifier (GTID)-based replication to migrate Amazon RDS MySQL workloads to Amazon Aurora MySQL. We also discuss how to use a fallback mechanism in case you encounter any issues. For more information about GTID-based […]
Amazon Aurora for MySQL compatibility now supports global transaction identifiers (GTIDs) replication
In this blog post, we discuss the advantages of GTID-based replication and support of Amazon Aurora for MySQL.








