Navigating the World of AWS Cloud Databases
Modernize your data infrastructure with fully managed, purpose-built databases
Choose the right purpose-built engine.
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.
Achieve performance at scale.
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 efficiently, often with no downtime.
Run fully managed 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.
Rely on high availability and security.
Support multi-region, multi-primary replication, and provide complete 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 Services
| Type | Use Cases | AWS Service |
| Relational | Traditional applications, enterprise resource planning (ERP), customer relationship management (CRM), e-commerce | Amazon Aurora Amazon RDS Amazon RedShift |
| Key-Value | High-traffic web applications, 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, catalogues, user profiles | Amazon DocumentDB |
| Wide Column | High-scale industrial apps for equipment maintenance, fleet management, and route optimization | Amazon KeySpaces |
| Graph | Fraud detection, social networking, and recommendation engines | Amazon Neptune |
| Time Series | Internet of Things (IoT) applications, DevOps, industrial telemetry | Amazon TimeStream |
| Ledger | Systems of record, supply chain, registrations, banking transactions | Amazon Ledger Database Services |