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.
Benefits of AWS cloud databases
Enabling multi-cloud strategies
Many of AWS data services enable multi-cloud strategies. We support open standards such as full wire protocol compatibility with open source databases, which helps our databases seamlessly integrate with other open source compatible databases hosted in other clouds and on-premises environments. Applications can communicate with AWS open source compatible databases without any modifications. We also offer integration with open source frameworks such as ODBC, JDBC, LangChain and LlamaIndex.
AWS databases are integrated with various AWS services that support multi-cloud environments. To illustrate, Amazon Elastic Kubernetes Service (EKS) is integrated with Amazon Aurora, Amazon DynamoDB, and Amazon ElastiCache, and more. You can integrate these EKS clusters with other Kubernetes services in a multi-cloud environment. You can use AWS IAM Roles Anywhere to grant workloads running outside of AWS, including other cloud providers, temporary access to AWS resources using IAM roles and policies. In addition, you can use AWS DMS to move data across clouds.
The ease of interoperability and portability provide you flexibility to deploy your workloads across various environments based on your requirements and constraints.
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Learn about AWS vector database capabilities
Database services
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
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 »