亚马逊 Aurora 数据库自十年前推出以来，始终致力于提供高性能、高可用且经济高效的数据库解决方案。其核心创新在于解耦存储与计算，从而大幅降低成本并提升扩展性。文章回顾了 Aurora 在安全性、可扩展性、可预测定价和多区域能力等方面的四大创新主题，并列举了从兼容 MySQL 到引入 PostgreSQL 兼容性、Serverless、Global Database、Blue/Green Deployments、Optimized Reads、向量能力、I/O-Optimized 以及 Zero-ETL 集成等一系列重要里程碑。特别是近期发布的 Aurora DSQL 和 Limitless Database，以及 MCP 服务器集成，展现了 Aurora 在分布式 SQL、AI 集成等前沿领域的持续探索。文章还邀请读者参加线上直播活动，共同庆祝这一里程碑，并深入了解 Aurora 的技术细节和未来发展。

✨ **解耦存储与计算的开创性架构：** Amazon Aurora 在十年前推出的核心创新是其革命性的架构设计，将存储与计算分离。这一决策使得 Aurora 能够以商业级数据库的性能和可用性，同时提供十分之一的成本，颠覆了数据库领域的格局，并成为数十万 AWS 客户的首选关系型数据库。

🚀 **持续的创新与功能迭代：** Aurora 在过去十年中不断进化，围绕安全性、可扩展性、可预测定价和多区域能力四大主题进行了密集创新。关键里程碑包括：支持读写分离的 Reader Endpoints 和跨区域读副本、Lambda 集成、S3 数据加载、数据库克隆、PostgreSQL 兼容性、Serverless、Global Database、Blue/Green Deployments、Optimized Reads、向量能力（pgvector）、I/O-Optimized 配置、Zero-ETL 集成至 Redshift 和 SageMaker，以及 Aurora PostgreSQL Limitless Database 和 Aurora DSQL。

💡 **面向未来的技术探索：** Aurora 在近期持续发力，特别是在 AI 和分布式数据库领域。Aurora PostgreSQL 已成为 Amazon Bedrock Knowledge Bases 的向量存储，而 Aurora DSQL 则代表了分布式 SQL 的最新进展，提供主动-主动高可用性和多区域强一致性。此外，MCP (Model Context Protocol) 服务器的引入，使得将 AI 代理无缝集成到 Aurora 数据库成为可能，为构建智能应用奠定了基础。

🗓️ **十年庆典与用户互动：** 为庆祝 Aurora 数据库十周年，AWS 将于 2025 年 8 月 21 日举办线上直播活动。活动将邀请 Aurora 的技术领导者和创始人分享宝贵的洞察，展示最新的技术演示，并提供问答环节。用户有机会深入了解 Aurora 的架构、扩展能力，学习如何构建 AI 驱动的应用，优化成本，并可能获得 AWS 积分以测试新功能。

<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><table class="c7"><tbody><tr><td class="c6"><p>Ten years ago, <a href="https://www.youtube.com/watch?v=GRm1fA42Z58&quot;&gt;we announced the general availability of Amazon Aurora</a>, a database that combined the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.</p><p>As <a href="https://www.linkedin.com/in/jeffbarr/&quot;&gt;Jeff&lt;/a&gt; described it in <a href="https://aws.amazon.com/blogs/aws/now-available-amazon-aurora/&quot;&gt;its launch blog post</a>: “With storage replicated both within and across three Availability Zones, along with an update model driven by quorum writes, Amazon Aurora is designed to deliver high performance and 99.99% availability while easily and efficiently scaling to up to 64 TiB of storage.”</p><p>When we started developing Aurora over a decade ago, we made a fundamental architectural decision that would change the database landscape forever: we decoupled storage from compute. This novel approach enabled Aurora to deliver the performance and availability of commercial databases at one-tenth the cost.</p></td><td class="c6"><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/07/22/20241203_095510.jpg&quot;&gt;&lt;img class="aligncenter wp-image-98586 size-large" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/07/22/20241203_095510-768x1024.jpg&quot; alt="Aurora birthday cake" width="768" height="1024" /></a></td></tr></tbody></table><p>This is one of the reasons why hundreds of thousands of AWS customers choose Aurora as their relational database.</p><p>Today, I’m excited to invite you to join us for <a href="https://pages.awscloud.com/Aurora_10year_Anniversary_Registration.html&quot;&gt;a livestream event on August 21, 2025, to celebrate a decade of Aurora database innovation</a>.</p><p><strong>A brief look back at the past</strong><br />Throughout the evolution of Aurora, we’ve focused on four core innovation themes: security as our top priority, scalability to meet growing workloads, predictable pricing for better cost management, and multi-<a href="https://docs.aws.amazon.com/glossary/latest/reference/glos-chap.html#region&quot;&gt;Region&lt;/a&gt; capabilities for global applications. Let me walk you through some key milestones in the Aurora journey.</p><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/08/08/Matt-Aurora-Innovation.png&quot;&gt;&lt;img class="aligncenter size-large wp-image-98801" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/08/08/Matt-Aurora-Innovation-1024x576.png&quot; alt="Aurora Innovtion with Matt Garman" width="1024" height="576" /></a></p><p>We <a href="https://aws.amazon.com/blogs/aws/highly-scalable-mysql-compat-rds-db-engine/&quot;&gt;previewed Aurora at re:Invent 2014</a>, and made it <a href="https://aws.amazon.com/blogs/aws/now-available-amazon-aurora/&quot;&gt;generally available in July 2015</a>. At launch, we presented Aurora as “a new cost-effective MySQL-compatible database engine.”</p><p>In June 2016, we introduced <a href="https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Endpoints.Reader.html&quot;&gt;reader endpoints</a> and <a href="https://aws.amazon.com/blogs/aws/new-cross-region-read-replicas-for-amazon-aurora/&quot;&gt;cross-Region read replicas</a>, followed by <a href="https://aws.amazon.com/blogs/aws/amazon-aurora-update-call-lambda-functions-from-stored-procedures-load-data-from-s3/&quot;&gt;AWS Lambda integration and the ability to load tables directly from Amazon S3</a> in October. We added database cloning and export to Amazon S3 capabilities in June 2017 and full <a href="https://aws.amazon.com/blogs/aws/now-available-amazon-aurora-with-postgresql-compatibility/&quot;&gt;compatibility with PostgreSQL</a> in October that year.</p><p>The journey continued with the <a href="https://aws.amazon.com/blogs/aws/in-the-works-amazon-aurora-serverless/&quot;&gt;serverless&lt;/a&gt; preview in November 2017, which became generally available in August 2018. <a href="https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-global-database.html&quot;&gt;Global Database</a> launched in November 2018 for cross-Region disaster recovery. We introduced <a href="https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/blue-green-deployments-overview.html&quot;&gt;blue/green deployments</a> to simplify database updates, and <a href="https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.optimized.reads.html&quot;&gt;optimized read instances</a> to improve query performance.</p><p>In 2023, we added <a href="https://aws.amazon.com/about-aws/whats-new/2023/07/amazon-aurora-postgresql-pgvector-vector-storage-similarity-search/&quot;&gt;vector capabilities with pgvector for similarity search</a> for Aurora PostgreSQL, and <a href="https://aws.amazon.com/blogs/aws/new-amazon-aurora-i-o-optimized-cluster-configuration-with-up-to-40-cost-savings-for-i-o-intensive-applications/&quot;&gt;Aurora I/O-Optimized</a> to provide predictable pricing with up to 40 percent cost savings for I/O-intensive applications. We launched <a href="https://aws.amazon.com/rds/aurora/zero-etl/&quot;&gt;Aurora zero-ETL</a> integration with <a href="https://aws.amazon.com/redshift/&quot;&gt;Amazon Redshift</a> which enables near real-time analytics and ML using Amazon Redshift on petabytes of transactional data from Aurora by removing the need for you to build and maintain complex data pipelines that perform extract, transform, and load (ETL) operations. This year we added Aurora MySQL zero-ETL integration with <a href="https://aws.amazon.com/sagemaker/lakehouse/&quot;&gt;Amazon Sagemaker</a>, enabling near real-time access of your data in the lakehouse architecture of SageMaker to run a broad range of analytics.</p><p>In 2024, we made it as effortless as just one click to select <a href="https://aws.amazon.com/about-aws/whats-new/2024/12/amazon-aurora-quick-create-vector-store-bedrock-knowledge-bases/&quot;&gt;Aurora PostgreSQL as a vector store for Amazon Bedrock Knowledge Bases</a> and launched <a href="https://aws.amazon.com/blogs/aws/amazon-aurora-postgresql-limitless-database-is-now-generally-available/&quot;&gt;Aurora PostgreSQL Limitless Database</a>, a serverless horizontal scaling (sharding) capability.</p><p>To simplify scaling for customers, we also increased the maximum storage to 128 TiB in September 2020, allowing many applications to operate within a single instance. Last month, we’ve further simplified scaling by <a href="https://aws.amazon.com/about-aws/whats-new/2025/07/amazon-aurora-postgresql-database-clusters-256-tib-storage-volume/&quot;&gt;doubling the maximum storage to 256 TiB</a>, with no upfront provisioning required and pay-as-you-go pricing based on actual storage used. This enables even more customers to run their growing workloads without the complexity of managing multiple instances while maintaining cost efficiency.</p><p>Most recently, at re:Invent 2024, we announced <a href="https://aws.amazon.com/rds/aurora/dsql/&quot;&gt;Amazon Aurora DSQL</a>, which became generally available in May 2025. Aurora DSQL represents our latest innovation in distributed SQL databases, offering active-active high availability and multi-Region strong consistency. It’s the fastest serverless distributed SQL database for always available applications, effortlessly scaling to meet any workload demand with zero infrastructure management.</p><p>Aurora DSQL builds on our original architectural principles of separation of storage and compute, taking them further with independent scaling of reads, writes, compute, and storage. It provides 99.99% single-Region and 99.999% multi-Region availability, with strong consistency across all Regional endpoints.</p><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/08/08/Matt-DSQL-v3.png&quot;&gt;&lt;img class="aligncenter size-large wp-image-98802" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/08/08/Matt-DSQL-v3-1024x548.png&quot; alt="Matt Garman introduces Amazon Aurora DSQL" width="1024" height="548" /></a></p><p>And in June, we launched <a href="https://aws.amazon.com/blogs/database/supercharging-aws-database-development-with-aws-mcp-servers/&quot;&gt;Model Context Protocol (MCP) servers for Aurora</a>, so you can integrate your AI agents with your data sources and services.</p><p><strong>Let’s celebrate 10 years of innovation</strong><br />By attending the <a href="https://pages.awscloud.com/Aurora_10year_Anniversary_Registration.html&quot;&gt;August 21 livestream event</a>, you’ll hear from Aurora technical leaders and founders, including <a href="https://www.linkedin.com/in/swaminathansivasubramanian/&quot;&gt;Swami Sivasubramanian</a>, <a href="https://www.linkedin.com/in/ganakris/&quot;&gt;Ganapathy (G2) Krishnamoorthy</a>, <a href="https://www.linkedin.com/in/yanlesh/&quot;&gt;Yan Leshinsky</a>, <a href="https://www.linkedin.com/in/grantmcalister/&quot;&gt;Grant McAlister</a>, and <a href="https://www.linkedin.com/in/ramanataws/&quot;&gt;Raman Mittal</a>. You’ll learn directly from the architects who pioneered the separation of compute and storage in cloud databases, with technical insights into Aurora architecture and scaling capabilities. You’ll also get a glimpse into the future of database technology as Aurora engineers share their vision and discuss the complex challenges they’re working to solve on behalf of customers.</p><p>The event also offers practical demonstrations that show you how to implement key features. You’ll see how to build <a href="https://aws.amazon.com/blogs/database/supercharging-vector-search-performance-and-relevance-with-pgvector-0-8-0-on-amazon-aurora-postgresql/&quot;&gt;AI-powered applications using pgvector</a>, understand cost optimization with the new Aurora DSQL pricing model, and learn how to achieve multi-Region strong consistency for global applications.</p><p>The interactive format includes Q&amp;A opportunities with Aurora experts, so you’ll be able to get your specific technical questions answered. You can also receive AWS credits to test new Aurora capabilities.</p><p>If you’re interested in agentic AI, you’ll particularly benefit from the sessions on <a href="https://awslabs.github.io/mcp/servers/postgres-mcp-server&quot;&gt;MCP servers</a>, <a href="https://strandsagents.com/latest/documentation/docs/&quot;&gt;Strands Agents</a>, and <a href="https://github.com/strands-agents/samples/tree/main/03-integrations/aurora-DSQL&quot;&gt;how to integrate Strands Agents with Aurora DSQL</a>, which demonstrate how to safely integrate AI capabilities with your Aurora databases while maintaining control over database access.</p><p>Whether you’re running mission-critical workloads or building new applications, these sessions will help you understand how to use the latest Aurora features.</p><p><a href="https://pages.awscloud.com/Aurora_10year_Anniversary_Registration.html&quot;&gt;Register today</a> to secure your spot and be part of this celebration of database innovation.</p><p>To the next decade of Aurora innovation!</p><a href="https://linktr.ee/sebsto&quot;&gt;— seb</a></section><aside id="Comments" class="blog-comments"><div data-lb-comp="aws-blog:cosmic-comments" data-env="prod" data-content-id="ce97b834-961a-472c-a0fe-4f9783960c76" data-title="Celebrating 10 years of Amazon Aurora innovation" data-url="https://aws.amazon.com/blogs/aws/celebrating-10-years-of-amazon-aurora-innovation/&quot;&gt;&lt;p data-failed-message="Comments cannot be loaded… Please refresh and try again.">Loading comments…</p></div></aside>