Power your apps with a secure, scalable and durable back end on Amazon Web Service. Whether you are looking to minimize your operational overhead or to maintain tight control, AWS has a spectrum of database options for you to choose the right architecture for your needs. Learn about your options and how to choose the right architecture for your apps.

1. Database Options on AWS
Miles Ward, Solution Architect

2. Database Services on AWS
Relational
databases on
EC2
Amazon RDS
Service
NoSQL
databases on
EC2
Amazon
Managed
NoSQL
Services
In-Memory
Database
Data
Warehouses
on EC2
Amazon
Managed
Data
Warehouses
Oracle MySQL Mongo Amazon
SimpleDB
Amazon
ElastiCache
Vertica Amazon
RedShift
SQL Server SQL Server Riak Amazon
DynamoDB
SAP Hana TeraData Hive on EMR
MySQL Oracle Couchbase MemcacheD
on EC2
Hive on EC2 Hbase on
EMR
IBM DB2,
Informix
Cassandra Hbase on
EC2
……. ……… ………

3. Managed
Relational
databases on
EC2
Amazon RDS
Service
NoSQL
databases on
EC2
Amazon
Managed
NoSQL
Services
In-Memory
Database
Data
Warehouses
on EC2
Amazon
Managed
Data
Warehouses
Oracle MySQL Mongo Amazon
SimpleDB
Amazon
ElastiCache
Vertica Amazon
RedShift
SQL Server SQL Server Riak Amazon
DynamoDB
SAP Hana TeraData Hive on EMR
MySQL Oracle Couchbase MemcacheD
on EC2
Hive on EC2 Hbase on
EMR
IBM DB2,
Informix
Cassandra Hbase on
EC2
……. ……… ………
Database Services on AWS

4. SQL Deployment Options on EC2

5. Dev, Test and Production Environments
Deploy Oracle software in minutes using AWS instances types
Use Oracle Database 11g and Oracle Enterprise Linux to build enterprise-grade
solutions in the cloud
Free up CapEx budget
No need to pre-allocate hardware budgets. Pay as you go. Amazon and Oracle
provide businesses with a scalable, reliable, and cost-effective business application
platform.
Better end-user experience
Use Amazon Machine Images (AMIs) with pre-configured Oracle solutions
Full Oracle license portability
Customers can use their existing licenses or buy new licenses
Certification
AWS is the first supported cloud platform. Oracle certified and fully supports oracle
products running on AWS
Complete Oracle Stack
OVM, Oracle Linux, EMGC, Oracle Database, FMW, Enterprise Applications
Running Oracle on AWS
http://aws.amazon.com/oracle

6. Deploying Oracle on Amazon EC2
Step 1: Create an account at
aws.amazon.com
Step 2: Login to the AWS Web
Console
Step 3: Right-click on an
Oracle AMI and click “Launch
Instance”
Step 4: Right click on your
EC2 instance to SSH into your
server
Oracle has delivered a set of Amazon Machine Images (AMIs), to make it easy for customers to get started
deploying Oracle solutions on Amazon EC2Have Oracle database up and running in few minutes…

7. Running Microsoft SQL Server on AWS
http://aws.amazon.com/windows/
Dev, Test and Production Environments
Deploy SQL Server software in minutes using Amazon EC2 running Windows Server
with SQL Server
Free up CapEx budget
No need to pre-allocate hardware budgets. Pay as you go. Amazon and Microsoft
provide businesses with a scalable, reliable, and cost-effective business application
platform.
Better end-user experience
Use Amazon Machine Images (AMIs) with pre-configured SQL Server solution and
only pay for what you use
Pay by Hour
Customers can launch SQL Server standard editions and pay by hour
Full License portability
Customers can use their existing licenses or buy new licenses

8. Deploying SQL Server on Amazon EC2
Step 1: Create an account at
aws.amazon.com
Step 2: Login to the AWS Web
Console. Search for SQL Server 2008
AMI
Step 3: Right-click on any SQL Server
AMI and click “Launch Instance”
Step 4: Right click on your EC2
instance to RDP into your server
Amazon has delivered a set of Amazon Machine Images (AMIs), to make it easy for customers to get started
deploying SQL Server solutions on Amazon EC2. Have SQL Server database up and running in five minutes…

9. SQL Deployment Options on EC2Managed

10. Amazon RDS
RDS is a fully managed Relational database service that is
simple to deploy, easy to scale, reliable and cost-effective
Ease of Deployment
Choice of Database Engines and App.
compatibility
Automated Backups and Disaster Recovery
Amazon Relational Database Service (RDS)
Microsoft
SQL
Server…
Monitoring and Auto Host Replacement
Pre-configured Parameters
Monitoring and Metrics
Automatic Software Patching
Replication – Multi AZ, Read Replicas
Isolation and Security
Pay by hour

11. Rapid deployment via Web Console

12. Operational DBA tasks & Amazon RDS
Install, upgrade, and
migrations
Troubleshooting and
corrective actions
Space and account
management
Database monitoring and
reporting
Performance and tuning
Backup and recovery
Capacity planning
Data load/unload and
synchronization Source: http://www.forrester.com/Events/Content/0,5180,-1110,00.ppt
Focus on Applications –
Convert Ops DBA resources to more
productive Apps DBA resources
Distribution of time
Performance/trou
bleshoot
Security planning
Backup rec
load/unload
5%
25%
5%
5%
20%
40%
License/doc training
Scripting coding
Install, upgrade, patch,
migration

13. Data Durability – Backups and Recovery
• DB Snapshots
 User-driven snapshots of
database
 Kept until explicitly deleted
• Automated Backups
 Nightly system snapshots +
transaction backup
 Enables point-in-time restore
to any point in retention
period, up to the last 5
minutes

14. High Availability – Multi-AZ Deployments
Enterprise-grade fault tolerance
solution for production
databases.
Through few clicks, Amazon
RDS creates and synchronously
maintains a standby in a
different Availability Zone
Automatic failover in case of:
 Loss of availability in primary AZ
 Loss of connectivity to primary
 Host or storage failure on primary
 Vertical Scaling
 Software patching

15. Scalability – Read Replicas
A Read Replica is a copy of a
specified DB Instance that can
serve read traffic
Intended Use Cases
 Read scaling, business
reporting
 Not intended as a fault
tolerance substitute for Multi-
AZ
Unlike Multi-AZ, uses native,
asynchronous MySQL replication
and replica can lag source
Read Replica can use Multi-AZ
deployment as source

16. High Performance Relational Databases
Amazon RDS
Configuration
Improve
Availability
Increase
Throughput
Reduce
Latency
Push-Button Scaling
Multi AZ
Read Replicas
ElastiCache
Availability
Zone
Region
Availability
Zone
Multi-AZ
ElastiCache
Read ReplicasPush-Button Scaling

17. Oracle on RDS Licensing
• Oracle 11gR2 Database: EE, SE, SE1 editions
• Runs on Oracle VM with hard partitioning
• Several licensing options available
– Use existing licenses from Oracle
– Purchase new Oracle Database licenses directly from Oracle or an
Oracle partner
– License Included from Amazon
• Two pricing models for Amazon RDS
– On-demand, hourly pricing
– Amazon RDS Reserved Instances
17

18. NoSQL Deployment Options on EC2

19. You can run NoSQL data store in the cloud on Amazon EC2 and
Amazon EBS.
Free up CapEx budget
Running your own NoSQL databases on Amazon EC2 and Amazon EBS gives you
full control over your database without the burden of provisioning and installing
hardware.
We recommend running non-relational databases on Amazon EC2
for customers who:
Want to exert complete administrative control over their NoSql server
Have in-house expertise in managing and scaling their own distributed database
clusters
Implementation Best Practices
MongoDB … http://d36cz9buwru1tt.cloudfront.net/AWS_NoSQL_MongoDB.pdf
Riak… http://media.amazonwebservices.com/AWS_NoSQL_Riak.pdf
CouchBase… http://media.amazonwebservices.com/AWS_NoSQL_Couchbase.pdf
More coming soon!
Running NoSQL Databases on AWS

20. One Volume: ~200 MongoOPS with some variability, <1mb/s
Loaded instance: ~ 1000 MongoOPS with some variability <10mb/s
NoSQL Storage Options –
Testing random 4K reads
PIOPS+
EBS
One Volume: 4000 MongoOPS with <1% variability, 6mb/s
Loaded Instance: 40000 MongoOPS with <1% variability, 120mb/s
SSD
Hi1.4xlarge ephemeral: ~64,000 MongoOPS with low variability, ~245mb/s

21. Stable
NoSQL Storage Options –
Testing random 4K reads
EBS PIOPS+ SSD

22. Amazon NoSQL ServicesManaged

23. Amazon SimpleDB
Amazon SimpleDB is a managed NoSQL database
service designed for smaller datasets
Zero Administration
Manage & Query Structured
Data
10GB Storage per domain
AWS Identity Integration
Conditional Puts
Consistent or Eventually
consistent read requests

24. Amazon SimpleDB Use Cases
Need Consistent Reads.
Scales automatically up or down in response to demand.
Require the highest availability and can’t tolerate downtime
for data backup or software maintenance.
No need for complex transactions or joins.
Index store for data stored in S3.
Use for state management when using Spot instances along
with EMR processes.
Can’t afford significant administrative burden managing their
structured data

25. DynamoDB is a fully managed NoSQL database
service that provides extremely fast and predictable
performance with seamless scalability
Amazon DynamoDB
Zero Administration
Low Latency SSD’s
Reserved Capacity
Unlimited Potential Storage and
Throughput

26. Reducing Risks
• Consistency
– DynamoDB writes are always consistent
– Reads are consistent, or eventually consistent (default)
• Durability
– All writes occur to disk, not memory
– A write is only acknowledged (committed) once it exists in at least two physical
data centers
• Availability
– Regional service
– spans multiple availability zones
– All data is continuously
replicated to multiple AZ’s

27. Amazon DynamoDB Use Cases
No Administrative burden managing their structured data
Need Consistent Writes & Reads. Setup scaling needs based
on application.
Require the highest availability and can’t tolerate downtime
for data backup or software maintenance.
No need for complex transactions or joins.
Item size is 64K or less. Larger Items can be placed in
Amazon S3 by storing just the pointer in the Amazon
DynamoDB

28. Amazon SimpleDB and Amazon DynamoDB
Amazon SimpleDB Amazon DynamoDB
Scalability
Highly Scalable Options available Seamless scalability and fast, predictable
performance.
Size
10GB data limit in table/domains There is no limit on the amount of data.
Capacity
Great fit for lower-scale
workloads that require query
flexibility.
Efficient throughput model to meet the
capacity levels that you need for your apps.

29. Amazon ElastiCache gives you access to the capabilities of a familiar Memcached
compatible caching environment
Pre-configured Parameters
Automatic failure detection and recovery
Detailed Monitoring and Metrics
Automatic Software Patching
Push-Button Scaling
If your application already relies on Memcached, you can easily port it to take
advantage of Amazon ElastiCache
Control access to your Cache Clusters through Cache Security Groups
Free up CapEx budget
No need to pre-allocate hardware budgets. Pay as you go..
Usage & Pricing
On Demand Instances
Reserved Cache Nodes – Light , Medium and Heavy Utilization instances
Running Amazon ElastiCache

30. Amazon ElastiCache Use Cases
Low administration. Simplifies and offloads the
management, monitoring, and operation of in-memory
cache environments
Significantly improve latency and throughput for many
read-heavy application
Increase performance of I/O intensive applications
Easily Port applications that rely on Memcached

31. Data Warehouse Deployment Options on EC2

32. Data Warehouse Deployment Options on EC2

33. Amazon RedShift: Cloud Data Warehouse
A fast and powerful, petabyte-scale data warehouse that is:
A Lot Faster
A Lot Cheaper
A Lot Simpler
Amazon Redshift
Managed

34. Common Customer Use Cases
• Reduce costs by
extending DW rather than
adding HW
• Migrate completely from
existing DW systems
• Respond faster to
business; provision in
minutes
• Improve performance by
an order of magnitude
• Make more data
available for analysis
• Access business data via
standard reporting tools
• Add analytic functionality
to applications
• Scale DW capacity as
demand grows
• Reduce HW & SW costs
by an order of magnitude
Traditional Enterprise DW Companies with Big Data SaaS Companies

35. Amazon Redshift Customers
• 5x – 20x reduction in query times; 4x cost reduction over
HIVE
• 20x – 40x reduction in query times
• Nokia: 50% reduction in costs, 2x improvement in query
times

36. Amazon Redshift dramatically reduces I/O
• Column storage
• Data compression
• Zone maps
• Direct-attached storage
• Large data block sizes
• Use direct-attached storage to
maximize throughput
• Hardware optimized for high
performance data processing
• Large block sizes to make the
most of each read
• Amazon Redshift manages
durability for you

37. Amazon Redshift architecture
• Leader Node
– SQL endpoint
– Stores metadata
– Coordinates query execution
• Compute Nodes
– Local, columnar storage
– Execute queries in parallel
– Load, backup, restore via Amazon S3
– Parallel load from Amazon DynamoDB
• Single node version available
10 GigE
(HPC)
Ingestion
Backup
Restore
JDBC/ODBC

38. Amazon Redshift lets you start small and grow big
Extra Large Node (HS1.XL)
3 spindles, 2 TB, 16 GB RAM, 2 cores
Single Node (2 TB)
Cluster 2-32 Nodes (4 TB – 64 TB)
Eight Extra Large Node (HS1.8XL)
24 spindles, 16 TB, 128 GB RAM, 16 cores, 10 GigE
Cluster 2-100 Nodes (32 TB – 1.6 PB)
Note: Nodes not to scale

39. Monitor query performance

40. Point and click resize

41. Amazon Redshift provides multiple data loading options
• Work with a partner
• Upload to Amazon S3
• AWS Direct Connect
• AWS Import/Export
More coming soon…
Data Integration Systems Integrators

42. Amazon Redshift works with your existing analysis tools
JDBC/ODBC
Amazon Redshift
More coming soon…

44. AWS Direct
Connect
Amazon Virtual
Private Cloud (VPC)
Import / Export
Service
Dedicated connection
between your datacenter and
AWS
Private VPN connection to
your AWS resources
Move data into AWS using
portable storage devices
Secure Options for Moving Data to and from the AWS Cloud

45. More Information
Amazon EC2
https://aws.amazon.com/ec2/
Amazon RDS
http://aws.amazon.com/RDS
Amazon ElastiCache
http://aws.amazon.com/elasticache/
Amazon DynamoDB
https://aws.amazon.com/dynamodb/
Amazon SimpleDB
https://aws.amazon.com/simpledb/
Amazon RedShift
http://aws.amazon.com/redshift