AWS Database Blog

AWS positioned highest in execution in the latest Gartner Magic Quadrant for Cloud Database Management Systems

AWS has been named a Leader for the 11th consecutive year in the 2025 Gartner Magic Quadrant for Cloud Database Management Systems. And, once again, AWS has been positioned highest among all 20 evaluated companies for our Ability to Execute. We believe this reflects our ongoing commitment to giving customers the broadest and deepest set of capabilities to accelerate innovation as well as unparalleled security, reliability, and performance they can trust for their most critical applications.

The following is a graphical representation of the 2025 Magic Quadrant for Cloud Database Management Systems.

gartner magic quadrant for cloud database management systems
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Amazon Web Services.

Helping Customers Navigate the Agentic AI revolution

As we shared with customers and partners at our 2025 re:Invent conference late last year, AWS is committed to helping customers navigate the agentic AI revolution, and the exponential growth of code, applications and data it will create. If you’re using agentic AI IDEs like Vercel v0 and Kiro, you can build at the speed of an idea—and create and connect to an Amazon Aurora cluster or an Amazon DynamoDB table within seconds. Our data services offer MCP servers, so you can easily bring domain-specific expertise directly into your AI workflows. Wherever you are on your agentic AI journey, AWS is the best cloud for building your agentic AI-ready data platform: the world’s leading data technologies with built-in interoperability and the best-in-class security, reliability, operational excellence, and price performance at any scale.

At the AWS re:Invent learning conference, we made several announcements to help customers execute on their data management strategies, including Database Savings Plans that can reduce costs by up to 35%,and Amazon S3 Vectors, the first cloud object storage with native vector support—to help customers reduce vector storage costs by up to 90%. We’ve enhanced our Amazon RDS database with 4x storage capacity for Oracle and SQL Server and CPU optimization options for SQL Server that can lower licensing costs by up to 55%. We’re also making it easier to get started with Aurora Serverless instant deployment, helping customers optimize spending automatically with S3 Tables Intelligent-Tiering, accelerating Amazon OpenSearch Service vector operations by 10x, enabling Redshift Apache Iceberg writes for better data lake integration, and reimagining SageMaker notebooks with built-in AI agents. Our aim is to help customers scale seamlessly from their current workloads to the massive data volumes that agentic AI will generate, without forcing them through constant technology migrations. To learn more about these and other announcements, visit the AWS re:Invent website.

Conclusion

Access the complete Gartner report to learn more. The methodology and evaluation criteria used to develop their assessments of each Cloud Database Management System provider is included in the report. This report can serve as a guide when choosing a strategic provider that helps you innovate on behalf of your customers.


Gartner report: Gartner, Magic Quadrant for Cloud Database Management Systems, Henry Cook, Xingyu Gu, Ramke Ramakrishnan, Aaron Rosenbaum, Masud Miraz, 18 November 2025.

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.


About the authors

G2 Krishnamoorthy

G2 is Vice President of AWS database services. In this role, he leads the teams responsible for AWS database services including Amazon Aurora, Amazon DynamoDB, Amazon DocumentDB, Amazon ElastiCache, AWS DMS, Amazon Neptune, Amazon RDS, and Amazon Timestream. G2 brings two decades of experience in databases, big data analytics, and machine learning, having built various parts of the SQL Server database, Azure Analytics, and Azure ML at Microsoft. Prior to joining Amazon, G2 built and ran the Data, Analytics and Machine Learning platform at Facebook/Meta.

Colin Lazier

Colin is the Vice President of AWS Nonrelational Databases, leading the strategy and development of AWS nonrelational database services, including Amazon DynamoDB and Amazon ElastiCache. A 20+ year Amazon veteran, he has held engineering, product, and leadership roles across AWS Compute, Storage, and Databases. Colin led EC2 engineering in its early years and launched multiple AWS storage services that redefined how customers manage data at scale. With deep expertise in distributed systems and cloud infrastructure, he is passionate about helping customers build resilient, high-performance applications in the cloud.