AWS Cloud Databases

High-performance, secure, and reliable foundation to power generative AI solutions and data-driven applications at any scale

Why AWS databases?

AWS databases offer a high-performance, secure, and reliable foundation to power generative AI solutions and data-driven applications that drive value for your business and customers. AWS high-performance databases support any workload or use case, including relational databases with 3-5x faster throughput than alternatives, purpose-built databases with microsecond latency, and built-in vector database capabilities with fastest throughput at the highest recall rates. AWS provides serverless options that remove the need to manage capacity by instantly scaling on demand. AWS databases deliver unmatched security with encryption at rest and in transit, network isolation, authentication, resolution of anomalies, and rigorous adherence to compliance standards. They are highly reliable because the data is automatically replicated across multiple Availability Zones within an AWS Region. With 15+ database engines optimized for the application’s data model, AWS fully managed databases remove the undifferentiated heavy lifting of database administrative tasks.

Easy ways to improve price performance and optimize costs

up to 20%+

price-performance improvement with AWS Graviton3 on Amazon Aurora and Amazon RDS

up to 30%

cost savings with Amazon Aurora Optimized Reads and up to 8x improved query latency

up to 90%

cost savings with Amazon Aurora Serverless v2 and Amazon Neptune Serverless

up to 66%

cost savings with Amazon DynamoDB import from S3 vs. client-based writes with provisioned capacity

up to 72%

increased throughput and up to 71% reduction in latency with Amazon ElastiCache

up to 46%

increased throughput and up to 21% reduction in P99 latency with Amazon MemoryDB

Database services

Database type
Examples
AWS service

                                                                               

Traditional applications, enterprise resource planning (ERP), customer relationship management (CRM), ecommerce, generative AI use cases (such as chatbots with Retrieval Augmented Generation, similarity search, recommendation systems, and more)

                                            

High-traffic web applications, ecommerce systems, gaming applications, generative AI use cases (such as similarity search using DynamoDB zero-ETL integration with Amazon OpenSearch Service)

                                                                                    

Caching, session management, gaming leaderboards, geospatial applications, generative AI use cases (such as chatbots with Retrieval Augmented Generation, semantic caching, recommendation systems, fraud detection, and more)

                                                                               

                                                       

Content management, catalogs, user profiles, generative AI use cases (such as chatbots with Retrieval Augmented Generation, similarity search, recommendation systems, and more)

                             

Fraud detection, social networking, recommendation engines, generative AI use cases (such as GraphRAG, enhanced fraud detection, discovery of new answers, and more)
High-scale industrial apps for equipment maintenance, fleet management, and route optimization
Internet of Things (IoT) applications, DevOps, industrial telemetry

AWS database solutions encompass database migration, modernization, and workload resiliency to provide a dependable path and rapid progress towards powering modern applications.

Workload resiliency

Rely on AWS for workload resilience solutions including backup, failover, and recovery, ensuring operational continuity even with exponential data growth. AWS offers multi-region databases for reduced latency across AWS Regions while improving your disaster recovery posture.

Migration & modernization

Accelerate your migration to the cloud with solutions that offer practical approaches for assessing, planning, and building the right database migration path for your organization.

Samsung migrated 1.1 billion users across three continents from Oracle to Amazon Aurora.

"The scalability of Amazon Aurora is the best benefit—especially if we focus on the cost. Samsung reduced monthly database costs by 44%."

- Salva Jung, Principal Architect and Engineering Manager

Learn more »

Case studies

Experian uses Amazon DynamoDB and Amazon Aurora’s high availability to achieve 100 percent operation uptime. Learn more »

A+E Networks uses serverless AWS databases to facilitate expansion by creating microservices-driven cloud-native applications. Learn more »

Pokémon migrated to AWS purpose-built databases to save tens of thousands of dollars per month. Learn more »

Cathay Pacific modernized its passenger revenue optimization system on AWS and increased performance by 20 percent. Learn more »