Databases in AWS

AWS has 15 pluspurpose-built 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.
  • 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.

Dataservices provided by AWS are listed below.

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
(with MongoDB compatibility)
Wide column High scale industrial apps for equipment maintenance, fleet management, and route optimization  Amazon Keyspaces
(for Apache Cassandra)
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 QLDB

 

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