Build use case-driven, highly scalable, distributed applications suited to your specific needs. AWS offers 15+ purpose-built engines to support diverse data models, including relational, key-value, document, in-memory, graph, time series, wide column, and ledger databases.
Free your teams from time-consuming database tasks like server provisioning, patching, and backups. AWS fully managed database services provide continuous monitoring, self-healing storage, and automated scaling to help you focus on application development.
Start small and scale as your applications grow with relational databases that are 3-5X faster than popular alternatives, or non-relational databases that give you microsecond to sub-millisecond latency. Match your storage and compute needs easily, often with no downtime.
Support multi-region, multi-primary replication, and provide full data oversight with multiple levels of security, including network isolation and end-to-end encryption. AWS databases deliver the high availability, reliability, and security you need for business-critical, enterprise workloads.
|Database Type||Use Cases||AWS Service|
|Relational||Traditional applications, ERP, CRM, e-commerce||Amazon Aurora | Amazon RDS | Amazon Redshift|
|Key-value||High-traffic web apps, e-commerce systems, gaming applications||Amazon DynamoDB|
|In-memory||Caching, session management, gaming leaderboards, geospatial applications||Amazon ElastiCache | Amazon MemoryDB for Redis|
|Document||Content management, catalogs, user profiles||Amazon DocumentDB (with MongoDB compatibility)|
|Wide-column||High scale industrial apps for equipment maintenance, fleet management, and route optimization||Amazon Keyspaces|
|Graph||Fraud detection, social networking, recommendation engines||Amazon Neptune|
|Time series||IoT applications, DevOps, industrial telemetry
|Ledger||Systems of record, supply chain, registrations, banking transactions||Amazon Quantum Ledger Database (QLDB)|
Move to managed databases
Build modern apps with purpose-built databases
Choose the database service best fit for the job to help you optimize scale, performance, and costs when designing applications. See how purpose-built databases match up with modern microservices architectures.
Break free from legacy databases
Stop working around proprietary standards, punitive pricing terms, and frequent audits. Embrace open-source compatible cloud databases with commercial grade performance, availability, and scale at a fraction of the cost.
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
Experian uses Amazon DynamoDB and Amazon Aurora’s high availability to achieve 100 percent operation uptime.
A+E Networks uses serverless AWS databases to facilitate expansion by creating microservices-driven cloud-native applications.
Pokémon migrated to AWS purpose-built databases to save tens of thousands of dollars per month.