Amazon Aurora DSQL正式发布，这是一款serverless分布式SQL数据库，具备无限扩展能力、高可用性以及零基础设施管理特性，专为始终可用的应用程序设计。Aurora DSQL通过分离查询处理器、仲裁器、日志和互连等独立组件，实现了高内聚和低延迟的多区域强一致性。用户可以通过简单的控制台体验轻松创建Aurora DSQL集群，并使用熟悉的SQL客户端进行连接。它适用于微服务和事件驱动架构，以及需要多区域可扩展性和弹性的SaaS应用和数据驱动服务。

🚀 Aurora DSQL采用serverless架构，消除了补丁、升级和维护停机的运营负担，简化了数据库管理。

🌐 Aurora DSQL的分布式架构设计实现了单区域99.99%和多区域99.999%的可用性，确保应用即使在区域连接中断的情况下也能持续读写数据。

🛠️ 创建Aurora DSQL集群非常简单，通过Aurora DSQL控制台选择单区域或多区域配置，几分钟内即可完成创建，并支持使用PostgreSQL、DBeaver、JetBrains DataGrip等SQL客户端连接。

🔑 Aurora DSQL与AWS Secrets Manager集成，实现自动化的令牌生成和轮换，简化了跨基础设施的凭证管理，提高了安全性。

<section class="blog-post-content lb-rtxt"><table id="amazon-polly-audio-table"><tbody><tr><td id="amazon-polly-audio-tab"><p></p></td></tr></tbody></table><p>Today, we’re announcing the general availability of <a href="https://aws.amazon.com/rds/aurora/dsql/?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;Amazon Aurora DSQL</a>, the fastest serverless distributed SQL database with virtually unlimited scale, the highest availability, and zero infrastructure management for always available applications. You can remove the operational burden of patching, upgrades, and maintenance downtime and count on an easy-to-use developer experience to create a new database in a few quick steps.</p><p><img class="wp-image-96088 size-full alignright c4" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/13/2025-aurora-dsql-1-werner-keynote-1.jpg&quot; alt="" width="1483" height="859" />When we introduced the <a href="https://aws.amazon.com/blogs/database/introducing-amazon-aurora-dsql/?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;preview of Aurora DSQL</a> at AWS re:Invent 2024, our customers were excited by this innovative solution to simplify complex relational database challenges. In his keynote, Dr. Werner Vogels, CTO of Amazon.com, talked about managing complexity upfront in the design of Aurora DSQL. Unlike most traditional databases, Aurora DSQL is disaggregated into multiple independent components such as a query processor, adjudicator, journal, and crossbar.</p><p>These components have high cohesion, communicate through well-specified APIs, and scale independently based on your workloads. This architecture enables multi-Region strong consistency with low latency and globally synchronized time. To learn more about how Aurora DSQL works behind the scenes, watch <a href="https://youtu.be/aim5x73crbM?si=Ur3aLJQdxnsL6RmC&amp;amp;t=5162&quot;&gt;Dr. Werner Vogels’ keynote</a> and read about <a href="https://www.allthingsdistributed.com/2025/05/just-make-it-scale-an-aurora-dsql-story.html&quot;&gt;an Aurora DSQL story</a>.</p><p><strong class="c5">The architecture of Amazon Aurora DSQL</strong><br />Your application can use the fastest distributed SQL reads and writes and scale to meet any workload demand without any database sharding or instance upgrades. With Aurora DSQL, its active-active distributed architecture is designed for 99.99 percent availability in a single Region and 99.999 percent availability across multiple Regions. This means your applications can continue to read and write with strong consistency, even in the rare case an application is unable to connect to a Region cluster endpoint.</p><p><img class="aligncenter size-full wp-image-96090" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/13/2025-aurora-dsql-2-architecture.jpg&quot; alt="" width="2066" height="1030" /></p><p>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.</p><p>Multi-Region clusters provide the same resilience and connectivity as single-Region clusters while improving 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. This means you can balance applications and connections for geographic locations, performance, or resiliency purposes, making sure readers consistently see the same data.</p><p>Aurora DSQL is an ideal choice to support applications using microservices and event-driven architectures, and you can design highly scalable solutions for industries such as banking, ecommerce, travel, and retail. It’s also ideal for multi-tenant software as a service (SaaS) applications and data-driven services like payment processing, gaming platforms, and social media applications that require multi-Region scalability and resilience.</p><p><strong class="c5">Getting started with Amazon Aurora DSQL</strong><br />Aurora DSQL provides a easy-to-use experience, starting with a simple console experience. You can use familiar SQL clients to leverage existing skillsets, and integration with other AWS services to improve managing databases.</p><p>To create an Aurora DSQL cluster, go to the <a href="https://console.aws.amazon.com/dsql/clusters/home?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;Aurora DSQL console</a> and choose <strong>Create cluster</strong>. You can choose either <strong>Single-Region</strong> or <strong>Multi-Region</strong> configuration options to help you establish the right database infrastructure for your needs.</p><p><img class="aligncenter size-full wp-image-96257 c6" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/16/2025-aurora-dsql-3-1-create-single-cluster.jpg&quot; alt="" width="1992" height="734" /></p><p><strong>1. Create a single-Region cluster</strong></p><p>To create a single-Region cluster, you only choose <strong>Create cluster</strong>. That’s all.</p><p><img class="aligncenter size-full wp-image-96259 c6" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/16/2025-aurora-dsql-3-1-create-single-cluster.png&quot; alt="" width="2072" height="1204" /></p><p>In a few minutes, you’ll see your Aurora DSQL cluster created. To connect your cluster, you can use your favorite SQL client such as <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/getting-started.html#accessing-sql-clients-psql&quot;&gt;PostgreSQL interactive terminal</a>,  <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/getting-started.html#accessing-sql-clients-dbeaver&quot;&gt;DBeaver&lt;/a&gt;, <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/getting-started.html#accessing-sql-clients-datagrip&quot;&gt;JetBrains DataGrip</a>, or you can take <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/programming-with.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;various programmable approaches</a> with a database endpoint and authentication token as a password. You can integrate with <a href="https://aws.amazon.com/secrets-manager/?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;AWS Secrets Manager</a> for <a href="https://github.com/aws-samples/sample-using-aurora-dsql-with-aws-secrets-manager&quot;&gt;automated token generation and rotation</a> to secure and simplify managing credentials across your infrastructure.</p><p><img class="aligncenter wp-image-96264 size-full c6" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/16/2025-aurora-dsql-3-1-list-single-cluster.png&quot; alt="" width="2336" height="1041" /></p><p>To get the authentication token, choose <strong>Connect</strong> and <strong>Get Token</strong> in your cluster detail page. Copy the endpoint from <strong>Endpoint (Host)</strong> and the generated authentication token after <strong>Connect as admin</strong> is chosen in the <strong>Authentication token (Password)</strong> section.</p><p>Then, choose <strong>Open in CloudShell</strong>, and with a few clicks, you can seamlessly connect to your cluster.</p><p><img class="aligncenter wp-image-96265 size-full c6" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/16/2025-aurora-dsql-4-connect-cluster.png&quot; alt="" width="2328" height="1216" /></p><p>After you connect the Aurora DSQL cluster, test your cluster by running <a href="https://github.com/aws-samples/aurora-dsql-samples/tree/main/quickstart_data&quot;&gt;sample SQL statements</a>. You can also query SQL statements for your applications using <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/aws-sdks.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;your favorite programming languages</a>: Python, Java, JavaScript, C++, Ruby, .NET, Rust, and Golang. You can build sample applications using a Django, Ruby on Rails, and AWS Lambda application to interact with Amazon Aurora DSQL.</p><p><strong>2. Create a multi-Region cluster</strong></p><p>To create a multi-Region cluster, you need to add the other cluster’s <a href="https://docs.aws.amazon.com/IAM/latest/UserGuide/reference-arns.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;Amazon Resource Name (ARN)</a> to peer the clusters.</p><p>To create the first cluster, choose <strong>Multi-Region</strong> in the console. You will also be required to choose the <strong>Witness Region</strong>, which receives data written to any peered Region but doesn’t have an endpoint. Choose <strong>Create cluster</strong>. If you already have a remote Region cluster, you can optionally enter its ARN.</p><p><img class="aligncenter wp-image-96258 size-full c6" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/16/2025-aurora-dsql-3-1-create-cluster.png&quot; alt="" width="2070" height="1817" /></p><p>Next, add an existing remote cluster or create your second cluster in another Region by choosing <strong>Create cluster</strong>.</p><p><img class="aligncenter size-full wp-image-96260 c6" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/16/2025-aurora-dsql-3-1-create-multi-cluster.png&quot; alt="" width="2074" height="1366" /></p><p>Now, you can create the second cluster with your peer cluster ARN as the first cluster.</p><p><img class="aligncenter wp-image-96263 size-full c6" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/16/2025-aurora-dsql-3-1-create-peer-cluster-1.png&quot; alt="" width="1976" height="446" /></p><p>When the second cluster is created, you must peer the cluster in <code>us-east-1</code> in order to complete the multi-Region creation.</p><p><img class="aligncenter size-full wp-image-96262 c6" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/16/2025-aurora-dsql-3-1-peering-clusters.png&quot; alt="" width="1986" height="464" /></p><p>Go to the first cluster page and choose <strong>Peer</strong> to confirm cluster peering for both clusters.</p><p><img class="aligncenter size-full wp-image-96267 c6" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/16/2025-aurora-dsql-3-1-peering-clusters-2.png&quot; alt="" width="1990" height="1038" /></p><p>Now, your multi-Region cluster is created successfully. You can see details about the peers that are in other Regions in the <strong>Peers</strong> tab.</p><p><img class="aligncenter size-full wp-image-96266 c6" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/05/16/2025-aurora-dsql-3-1-peering-clusters-3.png&quot; alt="" width="2000" height="1298" /></p><p>To get hands-on experience with Aurora DSQL, you can use this <a href="https://catalog.workshops.aws/aurora-dsql/&quot;&gt;step-by-step workshop</a>. It walks through the architecture, key considerations, and best practices as you build a sample retail rewards point application with active-active resiliency.</p><p>You can use the <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/programming-with-sdk-crud.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;AWS SDKs</a>, <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/programming-with-cli-crud.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;AWS Comand Line Interface (AWS CLI)</a>, and <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/CHAP_api_reference.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;Aurora DSQL APIs</a> to create and manage Aurora DSQL programmatically. To learn more, visit <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/setting-up-dsql.html&quot;&gt;Setting up Aurora DSQL clusters</a> in the Amazon Aurora DSQL User Guide.</p><p><strong class="c5">What did we add after the preview?<br /></strong> We used your feedback and suggestions during the preview period to add new capabilities. We’ve highlighted a few of the new features and capabilities:</p><ul><li><strong>Console experience</strong> –We improved your cluster management experience to create and peer multi-Region clusters as well as easily connect using AWS CloudShell.</li><li><strong>PostgreSQL features</strong> – We added support for views, unique secondary indexes for tables with existing data and launched Auto-Analyze which removes the need to manually maintain accurate table statistics. Learn about Aurora DSQL <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/working-with-postgresql-compatibility.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;PostgreSQL-compatible&lt;/a&gt; features.</li><li><strong>Integration with AWS services</strong> –We integrated various AWS services such as <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/backup-aurora-dsql.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;AWS Backup</a> for a full snapshot backup and Aurora DSQL cluster restore, <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/privatelink-managing-clusters.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;AWS PrivateLink</a> for private network connectivity, <a href="https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/AWS_DSQL.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;AWS CloudFormation</a> for managing Aurora DSQL resources, and <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/logging-using-cloudtrail.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;AWS CloudTrail</a> for logging Aurora DSQL operations.</li></ul><p>Aurora DSQL now provides a Model Context Protocol (MCP) server to improve developer productivity by making it easy for your generative AI models and database to interact through natural language. For example, install <a href="https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-installing.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;Amazon Q Developer CLI</a> and configure <a href="https://awslabs.github.io/mcp/servers/aurora-dsql-mcp-server&quot;&gt;Aurora DSQL MCP server</a>. Amazon Q Developer CLI now has access to an Aurora DSQL cluster. You can easily explore the schema of your database, understand the structure of the tables, and even execute complex SQL queries, all without having to write any additional integration code.</p><p><strong class="c5">Now available<br /></strong> Amazon Aurora DSQL is available today in the AWS US East (N. Virginia), US East (Ohio), US West (Oregon) Regions for single- and multi-Region clusters (two peers and one witness Region), Asia Pacific (Osaka) and Asia Pacific (Tokyo) for single-Region clusters, and Europe (Ireland), Europe (London), and Europe (Paris) for single-Region clusters.</p><p>You’re billed on a monthly basis using a single normalized billing unit called Distributed Processing Unit (DPU) for all request-based activity such as read/write. Storage is based on the total size of your database and measured in GB-months. You are only charged for one logical copy of your data per single-Region cluster or multi-Region peered cluster. As a part of the AWS Free Tier, your first 100,000 DPUs and 1 GB-month of storage each month is free. To learn more, visit <a href="https://aws.amazon.com/rds/aurora/dsql/pricing/?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;Amazon Aurora DSQL Pricing</a>.</p><p>Give Aurora DSQL a try for free in the <a href="https://console.aws.amazon.com/dsql/clusters/home?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;Aurora DSQL console</a>. For more information, visit the <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/what-is-aurora-dsql.html?trk=769a1a2b-8c19-4976-9c45-b6b1226c7d20&amp;amp;sc_channel=el&quot;&gt;Aurora DSQL User Guide</a> and send feedback to <a href="https://repost.aws/tags/TAqcUIxZXVTL6iyn1gF_ugSQ&quot;&gt;AWS re:Post for Aurora DSQL</a> or through your usual AWS support contacts.</p><p>— <a href="https://twitter.com/channyun&quot;&gt;Channy&lt;/a&gt;&lt;/p&gt;&lt;/section&gt;&lt;aside id="Comments" class="blog-comments"><div data-lb-comp="aws-blog:cosmic-comments" data-env="prod" data-content-id="a00b0c88-b733-4974-b5c9-5ebcfa2cf8f8" data-title="Amazon Aurora DSQL is now generally available" data-url="https://aws.amazon.com/blogs/aws/amazon-aurora-dsql-is-now-generally-available/&quot;&gt;&lt;p data-failed-message="Comments cannot be loaded… Please refresh and try again.">Loading comments…</p></div></aside>