Using non-relational databases...© 2019, Amazon Web Services, Inc. or its affiliates. All rights...

© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

Using non-relational databases

Eric HeikkilaWorldwide Head of Non-Relational Databases, Business Development, AWS


Modern apps create new requirements

Users: 1 million+

Data volume: TB–PB–EB

Locality: Global

Performance: Milliseconds–microseconds

Request rate: Millions

Access: Web, mobile, IoT, devices

Scale: Up-down, out-in

Economics: Pay for what you use

Developer access: No assembly requiredSocial mediaRide hailing Media streaming Dating


Relational

Referential

integrity, ACID

transactions,

schema-

on-write

Key-value

High-

throughput, low-

latency reads

and writes,

endless scale

Document

Store

documents and

quickly access

querying on

any attribute

In-memory

Query by key

with

microsecond

latency

Graph

Quickly and

easily create

and navigate

relationships

between

data

Time series

Collect, store,

and process

data sequenced

by time

Ledger

Complete,

immutable, and

verifiable history

of all changes to

application data

Common data models


Work backward from the problem

you are trying to solve

Choose the right tool for each job


Key-value

Key-value


Key-value data model

• Simple key-value pairs

• Partitioned by keys

• Resilient to failure

• High-throughput, low-latency reads and writes

• Consistent performance at scale

Gamers

Primary Key Attributes

GamerTag Level Points HighScore Plays

Hammer57 21 4050 483610 1722

FluffyDuffy 5 1123 10863 43

…

Gamers

Hammer57

21

4050,

483610,

1722


Common key-value use cases

• User profiles

• User events,

clickstream,

impressions

• Metadata for assets

• Popular items

Advertising Technology

• Shopping cart

• Workflow engine

• Inventory tracking and

fulfillment

• Customer profiles,

accounts

• Coupon redemption

• Competitive pricing

intelligence, supply

chain optimization

Retail

• User transactions

• Event-driven

transaction

processing, fraud

detection

• Mainframe

offloading— change

data capture

Financial Services


Common key-value use cases

• Game state, player

data store

• Player session history

data store

Gaming

• Media metadata store

• User data store

• Digital rights

management data

store

Media & Entertainment

• User content

metadata store

• Relationship graph

data store

• Metadata cache

• User, vehicle, driver

data store

• User vocabulary data

store

Software & Internet


Document

Document


Common document use cases

• User requests done in

JSON format

Mobile & web

applications

• Shopping sites

• Online publications

• Digital archives

• Point of sale terminals

or self-service kiosks

that give JSON format

Content & catalog

management

• Online transactions

• User preferences

• User authentication

Profile

management


In-memory

In-memory


Common in-memory use cases

• Database

caching

• Chat &

messaging

• Gaming

leaderboards

• Geospatial • Machine

learning

• Media

streaming

• Queues • Real-time

analytics• Session store


Graph

Graph


Common graph use cases

Social

networking

Life

sciences

Network & IT

operations

Fraud

detection

Recommendations Knowledge

graphs


Time series

Time series


Common time series use cases

• DevOps • IoT applications

• Application

monitoring

• Industrial

telemetry


Ledger

Ledger


Common ledger database use cases

• Finance • Manufacturing • Insurance

• HR & payroll • Retail & supply

chain


Search

Search


Common Search Database Use Cases

• Log analytics • Real-time

application

monitoring

• Security analytics

• Full text search • Clickstream

analytics


AWS purpose-built databases

Relational

Referential

integrity, ACID

transactions,

schema-

on-write

Lift and shift, ERP,

CRM, finance

Key-value

High-throughput,

low-latency reads

and writes, endless

scale

Real-time bidding,

shopping cart,

social, product

catalog, customer

preferences

Document

Store documents

and quickly

access querying

on any attribute

Content

management,

personalization,

mobile

In-memory

Query by key

with microsecond

latency

Leaderboards,

real-time analytics,

caching

Graph

Quickly and

easily create and

navigate

relationships

between

data

Fraud detection,

social networking,

recommendation

engine

Time series

Collect, store,

and process data

sequenced by

time

IoT applications,

event tracking

Ledger

Complete,

immutable, and

verifiable history of

all changes to

application data

Systems

of record, supply

chain, health care,

registrations,

financial

Amazon Aurora

Amazon RDS

Amazon

DynamoDB

Amazon

DocumentDB

Amazon

ElastiCache

Amazon

Neptune

Amazon

Timestream

Amazon

QLDB


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Using non-relational databases...© 2019, Amazon Web Services, Inc. or its affiliates. All rights...

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Transcript of Using non-relational databases...© 2019, Amazon Web Services, Inc. or its affiliates. All rights...