1. S U M M I T
B a h ra i n

2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Choosing the Right Database
(Database Freedom)
Aneesh Mohan
Solutions Architect
AWS

3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I TS U M M I T
Description
• Description: AWS offers the broadest range of purpose-built databases
for specific application use cases; this block provides an overview of
AWS relational, key-value, document, in-memory, graph, time series,
and ledger databases to help customers choose the right database for
the right job
• Target Audience: Developers, IT practitioners, BDMs
• Services covered: Aurora, Amazon RDS, DynamoDB, Amazon
DocumentDB, ElastiCache, Neptune, Timestream, Amazon QLDB
• Rough level of the content: [200]

4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
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

5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Common data categories and use cases
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, healthcare,
registrations,
financial

6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
AWS purpose-built databases
Relational Key-value Document In-memory Graph Time-series Ledger
DynamoDB NeptuneAmazon RDS
Aurora CommercialCommunity
Timestream Amazon
QLDB
ElastiCacheAmazon
DocumentDB

7. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Amazon Aurora
MySQL and PostgreSQL-compatible relational database built for the cloud
Performance and availability of commercial-grade databases at 1/10th the cost
Performance
and scalability
Availability
and durability
Highly secure Fully managed
5x throughput of standard
MySQL and 3x of standard
PostgreSQL; scale-out up to
15 read replicas
Fault-tolerant, self-healing
storage; six copies of data
across three Availability Zones;
continuous backup to Amazon S3
Network isolation,
encryption at
rest/transit
Managed by Amazon RDS:
No hardware provisioning,
software patching, setup,
configuration, or backups

9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
5x throughput of standard MySQL and 3x of
standard PostgreSQL
Up to 15 replicas across 3 Availability Zones
Tolerate AZ + 1 failure, six way replication
Fully managed by Amazon RDS
Availability
Zone 1
Availability
Zone 2
Availability
Zone 3
Amazon Aurora
Performance and availability of commercial-grade databases at
1/10th the cost

10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Amazon Relational Database Service (Amazon RDS)
Managed relational database service with a choice of six popular database engines
Easy to administer Available and durable Highly scalable Fast and secure
No need for infrastructure
provisioning, installing, and
maintaining DB software
Automatic multi-AZ data
replication; automated backup,
snapshots, failover
Scale database compute
and storage with a few
clicks with no app
downtime
SSD storage and guaranteed
provisioned I/O; data
encryption at rest and in
transit

11. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Amazon DynamoDB
Fast and flexible key value database service for any scale
Comprehensive
security
Encrypts all data by
default and fully integrates
with AWS Identity and
Access Management (IAM)
for robust security
Performance at scale
Consistent, single-digit
millisecond response times at
any scale; build applications with
virtually unlimited throughput
Global database for
global users and apps
Build global applications with
fast access to local data by easily
replicating tables across multiple
AWS Regions
Serverless
No server provisioning,
software patching, or
upgrades; scales up or down
automatically; continuously
backs up your data

13. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Amazon DocumentDB
Fast, scalable, highly available, fully managed MongoDB-compatible database
service
Fully Managed
Managed by AWS:
No hardware provisioning,
software patching, setup,
configuration, or backups
Fast
Millions of requests per second,
millisecond latency
MongoDB-compatible
Compatible with MongoDB
Community Edition 3.6.; uses the
same drivers and tools
Reliable
Six replicas of your data across
three AZs with full backup and
restore

15. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Amazon ElastiCache
Redis and Memcached compatible, in-memory data store and cache
Secure and
reliable
Network isolation,
encryption at rest/transit,
HIPAA, PCI, FedRAMP,
multi-AZ, and automatic
failover
Redis & Memcached
compatible
Fully compatible with open
source Redis and Memcached
Easily scalable
Scale writes and reads with
sharding and replicas
Extreme
performance
In-memory data store and
cache for microsecond
response times

17. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Amazon Neptune
Fully managed graph database
Easy
Build powerful queries
easily with Gremlin and
SPARQL
Fast
Query billions of relationships
with millisecond latency
Open
Supports Apache TinkerPop &
W3C RDF graph models
Reliable
Six replicas of your data across
three AZs with full backup and
restore

19. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

20. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Amazon Timestream
Fast, scalable, fully managed time-series database
1,000x faster and 1/10th the
cost of relational databases
Collect data at the rate of
millions of inserts per
second (10M/second)
Trillions of
daily events
Adaptive query processing
engine maintains steady,
predictable performance
Time-series analytics
Built-in functions for
interpolation, smoothing,
and approximation
Serverless
Automated setup,
configuration, server
provisioning, software patching

21. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

22. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Amazon Quantum Ledger Database (Amazon QLDB)
Fully managed ledger database
Track and verify history of all changes made to your application’s data
Immutable
Maintains a sequenced record of
all changes to your data, which
cannot be deleted or modified;
you have the ability to query and
analyze the full history
Cryptographically
verifiable
Uses cryptography to
generate a secure output
file of your data’s history
Easy to use
Easy to use, letting you
use familiar database
capabilities like SQL APIs
for querying the data
Highly scalable
Executes 2–3X as many
transactions than ledgers
in common blockchain
frameworks

23. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
AWS Database Migration Service (AWS DMS)
M I G R A T I N G
D A T A B A S E S
T O A W S
Migrate between on premises and AWS
Migrate between databases
Automated schema conversion
Data replication for
zero-downtime migration
100,000+
databases migrated

25. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

26. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T

27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Retail demo application
Demo application:
1. Available today
2. On GitHub:
/aws-samples/aws-
bookstore-demo-app
3. One-click
AWS CloudFormation
deployment
Search
Indexing and
searching
semistructured
logs and data
Product
search
Neptune Amazon ES
Key-value
High
throughput,
Low-latency
reads
and writes,
endless scale
Shopping cart, user
profile
Graph
Quickly and
easily create
and navigate
relationships
between
data
Product
recommendation
In-memory
Query by key
with
microsecond
latency
Product
leaderboard
DynamoDB ElastiCache

28. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Customers are moving to AWS Databases
Verizon is migrating over 1,000 business-critical applications and database backend systems to AWS,
several of which also include the migration of production databases to Amazon Aurora.
Wappa migrated from their Oracle database to Amazon Aurora and improved their
reporting time per user by 75 percent.
Trimble migrated their Oracle databases to Amazon RDS and project they will pay about 1/4th
of what they paid when managing their private infrastructure.
Intuit migrated from Microsoft SQL Server to Amazon Redshift to reduce data-processing timelines
and get insights to decision makers faster and more frequently.
Equinox Fitness migrated its Teradata on-premises data warehouse to Amazon Redshift. They went
from static reports to a modern data lake that delivers dynamic reports.
Eventbrite moved from Cloudera to Amazon EMR and were able to cut costs dramatically, spinning
clusters up/down on-demand and using Spot (saving > 80%) and Reserved Instances.
By December 2018, Amazon.com will have migrated 88% of their Oracle DBs (and 97% of
critical system DBs) moved to Amazon Aurora and Amazon DynamoDB. They also migrated their
50 PB Oracle Data Warehouse to AWS (Amazon S3, Amazon Redshift, and Amazon EMR).
Samsung Electronics migrated their Cassandra clusters to Amazon DynamoDB for their Samsung
Cloud workload with 70% cost savings.

30. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Most enterprise database & analytics cloud customers

31. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Most startup database & analytics cloud customers

32. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Thank you!
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Aneesh Mohan
Solutions Architect
AWS

33. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I TS U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.