Databases on AWS

The broadest selection of purpose-built databases for all your application needs
Purpose-built
Choose from 14 purpose-build database engines including relational, key-value, document, in-memory, graph, time series, and ledger databases. AWS’s portfolio of purpose-built databases supports diverse data models and allows you to build use case driven, highly scalable, distributed applications. By picking the best database to solve a specific problem or a group of problems, you can break away from restrictive one-size-fits-all monolithic databases and focus on building applications to meet the needs of your business.
Fully managed
With AWS databases, you don’t need to worry about database management tasks such as server provisioning, patching, setup, configuration, backups, or recovery. AWS continuously monitors your clusters to keep your workloads up and running with self-healing storage and automated scaling, so that you can focus on higher value application development.
Performance at scale
Get relational databases that are 3-5X faster than popular alternatives, or non-relational databases that give you microsecond to sub-millisecond latency. Start small and scale as your applications grow. You can scale your database's compute and storage resources easily, often with no downtime. Because purpose-built databases are optimized for the data model you need, your applications can scale and perform better at 1/10 the cost versus commercial databases.
Enterprise-class
AWS databases are built for business-critical, enterprise workloads, offering high availability, reliability, and security. These databases support multi-region, multi-master replication, and provide full oversight of your data with multiple levels of security, including network isolation using Amazon VPC, encryption at rest using keys you create and control through AWS Key Management Service (KMS), as well as encryption-in-transit.
Performance at any scale (0:54)
Hundreds of thousands of customers rely on AWS databases
Purpose-built
Performance at scale
Choose from 14 purpose-build database engines including relational, key-value, document, in-memory, graph, time series, and ledger databases. AWS’s portfolio of purpose-built databases supports diverse data models and allows you to build use case driven, highly scalable, distributed applications. By picking the best database to solve a specific problem or a group of problems, you can break away from restrictive one-size-fits-all monolithic databases and focus on building applications to meet the needs of your business.
Get relational databases that are 3-5X faster than popular alternatives, or non-relational databases that give you microsecond to sub-millisecond latency. Start small and scale as your applications grow. You can scale your database's compute and storage resources easily, often with no downtime. Because purpose-built databases are optimized for the data model you need, your applications can scale and perform better at 1/10 the cost versus commercial databases.
Fully managed
Enterprise-class
With AWS databases, you don’t need to worry about database management tasks such as server provisioning, patching, setup, configuration, backups, or recovery. AWS continuously monitors your clusters to keep your workloads up and running with self-healing storage and automated scaling, so that you can focus on higher value application development.
AWS databases are built for business-critical, enterprise workloads, offering high availability, reliability, and security. These databases support multi-region, multi-master replication, and provide full oversight of your data with multiple levels of security, including network isolation using Amazon VPC, encryption at rest using keys you create and control through AWS Key Management Service (KMS), as well as encryption-in-transit.
Performance at any scale (0:54)

Database services

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 for Memcached | Amazon ElastiCache for Redis
Document Content management, catalogs, user profiles Amazon DocumentDB
Graph Fraud detection, social networking, recommendation engines Amazon Neptune
Time series IoT applications, DevOps, industrial telemetry
Amazon Timestream
Ledger Systems of record, supply chain, registrations, banking transactions Amazon Quantum Ledger Database
AWS Databases
Break Free From Old Guard Databases
Hundreds of thousands of customers have migrated to AWS Databases to save, grow, and innovate faster.

Use cases

  • Internet scale applications
  • Real-time applications
  • Open source applications
  • Enterprise applications
Autodesk_Logo

Amazon Aurora allowed us to increase our database connections and greatly improve our scalability, response times, and CPU utilization. Our customers’ experience improved in a short time so we’re looking into Aurora for additional applications.

- Brian Mathews
Platform Engineering Vice President, Autodesk
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