Amazon Releases Distributed Aurora Database
Written by Kay Ewbank   
Monday, 02 June 2025

Amazon has announced the release of Aurora DSQL, a fast serverless distributed SQL database that Amazon says has virtually unlimited scale, the highest availability, and zero infrastructure management. Aurora DSQL was announced last year at Amazon re:Invent.. 

The original Amazon Aurora began as a MySQL-compatible database engine back in 2014, that was designed to be highly durable and available by automatically replicating data across multiple Availability Zones and continuously backing up data to Amazon Simple Storage Service (Amazon S3). A PostgreSQL version was made available in 2019.

Aurora logoAmazon Aurora DSQL is the latest development. Unlike most traditional databases, Aurora DSQL is made up of several components including a query processor, adjudicator, journal, and crossbar. Amazon says the components have high cohesion, communicate through well-specified APIs, and scale independently based on your workloads. The design enables multi-Region strong consistency with low latency and globally synchronized time, and without the need for database sharding or instance upgrades. Aurora DSQL is designed for 99.99 percent availability in a single Region and 99.999 percent availability across multiple Regions so applications can continue to read and write with strong consistency, even if unable to connect to a Region cluster endpoint.

aurora clusters

In a single-Region configuration, Aurora DSQL commits all write transactions to a distributed transaction log and synchronously replicates all committed log data to user storage replicas in three Availability Zones. Cluster storage replicas are distributed across a storage fleet and automatically scale to ensure optimal read performance.

Multi-Region clusters improve availability through two Regional endpoints, one for each peered cluster Region. Both endpoints of a peered cluster present a single logical database and support concurrent read and write operations with strong data consistency. A third Region acts as a log-only witness which means there is is no cluster resource or endpoint. 

Aurora DSQL has a console interface and can be used with SQL clients. It is integrated with other AWS services to improve managing databases.  It has PostgreSQL-like features including support for views, and unique secondary indexes for tables with existing data. AWS services are integrated, including AWS Backup for a full snapshot backup and Aurora DSQL cluster restore, AWS PrivateLink for private network connectivity, AWS CloudFormation for managing Aurora DSQL resources, and AWS CloudTrail for logging Aurora DSQL operations.

Aurora DSQL now provides a Model Context Protocol (MCP) server so generative AI models and databases can interact through natural language. 

Aurora DSQL is available now.  

Aurora logo

 

More Information

Amazon Aurora DSQL

Related Articles

Aurora Serverless PostgreSQL Generally Available

Amazon Aurora Made Available

Amazon Launches Supercharged MySQL Alternative 

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