AWS Databases resources

Amazon Relational Database Service (RDS) for MySQL now supports new Amazon RDS Extended Support minor version 5.7.44-RDS.20250818. We recommend that you upgrade to this version to fix known security vulnerabilities and bugs in prior versions of MySQL. Learn more about upgrading your database instances, including minor and major version upgrades, in the Amazon RDS User Guide.

Amazon RDS Extended Support provides you more time, up to three years, to upgrade to a new major version to help you meet your business requirements. During Extended Support, Amazon RDS will provide critical security and bug fixes for your MySQL databases on Aurora and RDS after the community ends support for a major version. You can run your MySQL databases on Amazon RDS with Extended Support for up to three years beyond a major version’s end of standard support date. Learn more about Extended Support in the Amazon RDS User Guide and the Pricing FAQs.

Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. See Amazon RDS for MySQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

Aurora PostgreSQL Limitless Database, now available in AWS GovCloud (US-East, US-West) Regions, makes it easy for you to scale your relational database workloads by providing a serverless endpoint that automatically distributes data and queries across multiple Amazon Aurora Serverless instances while maintaining the transactional consistency of a single database. Aurora PostgreSQL Limitless Database offers capabilities such as distributed query planning and transaction management, removing the need for you to create custom solutions or manage multiple databases to scale. As your workloads increase, Aurora PostgreSQL Limitless Database adds additional compute resources while staying within your specified budget, so there is no need to provision for peak, and compute automatically scales down when demand is low.

Aurora PostgreSQL Limitless Database is available with PostgreSQL 16.6, 16.8, and 16.9 compatibility in these regions.

For pricing details and Region availability, visit Amazon Aurora pricing. To learn more, read the Aurora PostgreSQL Limitless Database documentation and get started by creating an Aurora PostgreSQL Limitless Database in only a few steps in the Amazon RDS console.

You can now generate AI-powered forecasts and visualizations on time-series data that has been indexed into Amazon OpenSearch domains.

Forecasts can be used to enhance various analytics use cases to power insights into trending infrastructure utilization and events, application or business metrics, and more. They can help you anticipate upcoming changes in areas such as business metrics, website traffic, system performance, and more. You can easily get started with this feature by setting up forecasts within OpenSearch dashboards or the OpenSearch UI. No data science or AI expertise is required.

AI-powered forecasts are available in all Amazon OpenSearch Service regions that support OpenSearch 3.1+ domains. Learn more from the documentation.

Amazon OpenSearch Serverless has added support for attribute-based authorization (ABAC) for Data Plane APIs, making it easier to manage access control for data read and write operations. This feature is part of an AWS campaign to drive consistent adoption of AWS Identity and Access Management (IAM) features across all AWS services. Customers can use identity policies in IAM to define permissions and control who has access to the data on Amazon OpenSearch Serverless collections.

Amazon OpenSearch Serverless now also supports resource control policy (RCP). RCP is a new type of authorization policy managed in AWS Organizations that will allow OpenSearch Serverless customers to enforce organization-wide preventative controls across resources in their organization centrally, without the need to update individual resource-based policies. You can refer to documentation for examples.

Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, see the documentation. 

Amazon Relational Database Service (RDS) Proxy now supports end-to-end IAM authentication for connections to Amazon Aurora and RDS database instances. This feature allows you to connect from your applications to your databases through RDS Proxy using AWS Identity and Access Management (IAM) authentication. End-to-end IAM authentication simplifies credential management, reduces credential rotation overhead, and enables you to leverage IAM's robust authentication and authorization capabilities throughout your database connection path.

With end-to-end IAM authentication, you can now connect to your databases through RDS Proxy without needing to register or store credentials in Secrets Manager. End-to-end IAM authentication is available for MySQL and PostgreSQL database engines in all AWS Regions where RDS Proxy is supported.

Many applications, including those built on modern serverless architectures, may need to have a high number of open connections to the database or may frequently open and close database connections, exhausting the database memory and compute resources. Amazon RDS Proxy allows applications to pool and share database connections, improving your database efficiency and application scalability. RDS Proxy helps improve application scalability, resiliency, and security.

For information on supported database engine versions and regional availability of RDS Proxy, refer to our RDS and Aurora documentations.

Today, we are announcing a new capability that NetworkX now supports Neptune Analytics as a graph store. With this release, developers can continue to use familiar NetworkX APIs while automatically offloading graph algorithm workloads to Neptune’s scalable, high-performance analytics engine. This makes it simple to scale graph computations on demand without refactoring code, combining the ease of local development with the performance and elasticity of a fully managed AWS service.

Previously, when datasets grew beyond the limits of a local environment, users had to turn to third-party services—rebuilding their graph models to fit proprietary formats, exporting and importing data, and learning entirely new systems. With the new nx-neptune integration, developers only need an AWS account and credentials; the solution automatically handles graph data modeling, data movement (Zero-ETL), and infrastructure management. It provisions a Neptune Analytics instance, runs the requested algorithm, returns results directly to the user, and then tears down the infrastructure for a cost-effective, serverless-like experience—all without requiring the user to leave their familiar Python workflow.

NetworkX is a widely used open-source Python library for creating, analyzing, and visualizing complex graphs. It offers an extensive collection of graph algorithms and utilities, making it a popular choice among researchers, data scientists, and developers for prototyping and experimenting with graph-based applications. To learn more about the Neptune–NetworkX Integration, visit the documentation.

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports the latest General Distribution Release (GDR) updates for Microsoft SQL Server. This release includes support for Microsoft SQL Server 2016 SP3 KB5063762 (RDS version 13.00.6465.1.v1), SQL Server 2017 CU31 KB5063759 (RDS version 14.00.3500.1.v1), SQL Server 2019 CU32 KB5063757 (RDS version 15.00.4440.1.v1) and SQL Server 2022 CU20 KB5063814 (RDS version 16.00.4210.1.v1).

The GDR updates address vulnerabilities described in CVE-2025-49758, CVE-2025-24999, CVE-2025-49759, CVE-2025-53727, and CVE-2025-47954. For additional information on the improvements and fixes included in these updates, see Microsoft documentation for KB5063762, KB5063759, KB5063757 and KB5063814. We recommend that you upgrade your Amazon RDS for SQL Server instances to apply these updates using Amazon RDS Management Console, or by using the AWS SDK or CLI. You can learn more about upgrading your database instance in the Amazon RDS SQL Server User Guide for upgrading your RDS Microsoft SQL Server DB engine.

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server now supports the latest General Distribution Release (GDR) updates for Microsoft SQL Server. This includes support for Microsoft SQL Server 2019 CU32 KB5063757 (RDS version 15.00.4440.1.v1) and SQL Server 2022 CU20 KB5063814 (RDS version 16.00.4210.1.v1).

The GDR updates address vulnerabilities described in CVE-2025-49758, CVE-2025-24999, CVE-2025-49759, CVE-2025-53727, and CVE-2025-47954. For additional information on the improvements and fixes included in these updates, please see Microsoft documentation for KB5063757 and KB5063814. We recommend that you upgrade your Amazon RDS Custom for SQL Server instances to apply these updates using Amazon RDS Management Console, or by using the AWS SDK or CLI. You can learn more about upgrading your database instance in the Amazon RDS Custom User Guide.