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SUMMIT © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. DynamoDB DocumentDB Redis Aurora QLDB SQL Server PostgreSQL Elasticsearch Timestream Oracle DB2 MySQL MongoDB Neptune Access Cassandra

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OLTP : Online Transaction Processing ETL : Extract, Transform and Load OLAP : Online Analytical Processing SUMMIT © 2019, Amazon Web Services, Inc. or its affiliates.BI All rights reserved. : Business Intelligence • • Purpose built The right tool for the right job https://www.allthingsdistributed.com/2018/06/purpose-built-databases-in-aws.html

Relational Key-value Document In-memory Graph Time-series Ledger

Lift and shift, ERP, Real-time bidding, Content Leaderboards, Fraud detection, IoT applications, Systems CRM, finance shopping cart, social, management, real-time analytics, social networking, event tracking of record, supply product catalog, personalization, caching recommendation chain, health care, customer preferences mobile engine registrations, financial

Relational Key-value Document In-memory Graph Time-series Ledger

Referential High Store documents Query by key Quickly and Collect, store, Complete, integrity, ACID throughput, low- and quickly with easily create and and process data immutable, and transactions, latency reads access querying microsecond navigate sequenced by verifiable history of schema- and writes, endless on any attribute latency relationships time all changes to on-write scale between application data data Lift and shift, ERP, Real-time bidding, Content Leaderboards, Fraud detection, IoT applications, Systems CRM, finance shopping cart, social, management, real-time analytics, social networking, event tracking of record, supply product catalog, personalization, caching recommendation chain, health care, customer preferences mobile engine registrations, financial

Relational Key-value Document In-memory Graph Time-series Ledger

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Relational Key-value Document In-memory Graph Time-series Ledger

Referential High Store documents Query by key Quickly and Collect, store, Complete, integrity, ACID throughput, low- and quickly with easily create and and process data immutable, and transactions, latency reads access querying microsecond navigate sequenced by verifiable history of schema- and writes, endless on any attribute latency relationships time all changes to on-write scale between application data Amazon Amazon Amazon Amazon Amazondata Amazon Amazon RDS DynamoDB DocumentDB ElastiCache Neptune Timestream QLDB Lift and shift, ERP, Real-time bidding, Content Leaderboards, Fraud detection, IoT applications, Systems CRM, finance shopping cart, social, management, real-time analytics, social networking, event tracking of record, supply product catalog, personalization, caching recommendation chain, health care, Aurora Community Commercial customer preferences mobile engine registrations, financial

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Relational Key-value Document In-memory Graph Time-series Ledger

SUMMIT © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Patient * Patient ID First Name • Last Name • Gender Visit DOB * Visit ID • * Doctor ID * Patient ID * Hospital ID Date • Doctor Treatment ID * Doctor ID * First Name Last Name Medical Specialty Medical Treatment * Hospital Affiliation * Treatment ID Procedure How Performed Hospital Adverse Outcome Hospital ID * Contraindication Name Address Rating SUMMIT © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. • • • • • • •

SUMMIT © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Patient * Patient ID First Name • NJNI Last Name • Gender Visit ( DOB * Visit ID • * Doctor ID * Patient ID QL)( * Hospital ID Date • Doctor N Treatment ID * Doctor ID * • O First Name SN Last Name Medical Specialty Medical Treatment • * Hospital Affiliation * Treatment ID Procedure • How Performed Hospital Adverse Outcome Hospital ID • * Contraindication () Name Address Rating

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SUMMIT © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. • • Purpose built The right tool for the right job https://www.allthingsdistributed.com/2018/06/purpose-built-databases-in-aws.html