The document highlights the role of cloud computing in enhancing database flexibility, scalability, and cost-effectiveness for cloud applications. It discusses the evolution of database services, including the emergence of Database-as-a-Service (DBaaS) and the challenges traditional databases face in meeting modern application requirements. Additionally, it introduces NuoDB, a database solution designed for the cloud that provides elasticity, continuous availability, and durability, catering to the needs of evolving business applications.

1. KEY DATABASE CRITERIA
FOR CLOUD APPLICATIONS
+ Matt Aslett, Research Director, Data Platforms and
Analytics
+ Ariff Kassam, Vice President, Product

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• Cloud computing has had a significant role to play in driving down the cost of
storing and processing data, along with delivering additional benefits such as:
• developer and business agility
• faster time to adoption for emerging technologies
• high availability
• reduced infrastructure configuration and management overheads.
• Cloud applications require a database that is able to deliver on the flexibility and
scalability advantages of the cloud, while maintaining the resiliency and
functionality expected of traditional databases.
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Databases and the cloud

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Databases and the cloud
Databases on the cloud
• 2008 – Operational
databases on IaaS
• 2009 – Analytic databases
on IaaS
• Existing relational
database products
configured to run on the
cloud.
Database-as-a-service
• The on-demand delivery
of database management
software, consumed by
end users as a service.
• In the very early stages of
adoption, with most data-
related workloads
deployed on-premises.

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DBaaS Adoption Trends
Source: 451 Research Market Monitor
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
55000
2015 2016 2017 2018 2019 2020
$inM
48% CAGR expected for
Operational DBaaS
13%
CAGR expected for
Operational
databases
Operational databases

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Databases and the cloud
Databases for cloud
applications
• A database designed to
take advantage of and
enable elastic, distributed
architecture that supports
SaaS applications.
• May or may not run in a
public cloud.
Databases on the cloud
• 2008 – Operational
databases on IaaS
• 2009 – Analytic databases
on IaaS
• Existing relational
database products
configured to run on the
cloud.
Database-as-a-service
• The on-demand delivery
of database management
software, consumed by
end users as a service.
• In the very early stages of
adoption, with most data-
related workloads
deployed on-premises.

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Phases of cloud adoption
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• Hybrid is not a trend, it’s reality

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Requirement drivers
Social
Mobile
Application
Global
Interactive
Local
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Requirement drivers
SQL
Schemaless
Developer
APIs
REST
Flexible
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Requirement drivers
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Distributed
Scalable
Architecture
Virtual
Containers
Elastic

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Limitations of traditional databases
• Enterprise architectures have shifted from a scale-up to a scale-out approach to
make use of distributed hardware.
• Greater scalability demands
• Predictable performance problems
• Traditional relational databases were never designed to cope with modern
application requirements
• Geographic distribution
• Proliferation of cloud
• Multiple data types
• Modern application requirements require a rethink of the relational database
model
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13. Copyright (C) 2016 451 Research LLC
Key Database Criteria for Cloud Applications
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Scale-out
across
low-cost
distributed
commodity
architecture
Provision
rapidly and
scale up and
down in
response to
changing
requirements
Always
available,
actively in
multiple
locations and
regions
Easily
monitored,
managed and
integrated with
other
applications
and services
SCALEABLE DYNAMIC RESILIANT SIMPLE

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Key Database Criteria for Cloud Applications
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Public, private,
hybrid cloud.
Combined
operational
and analytic
processing
Able to
support high
performance
workloads, as
required
Supports
security and
access
technologies
and standards
Support for
existing skills
and tools (e.g.
SQL)
Consistent
(tunable if
required)
HYBRID PERFORMANT SECURE PREDICTABLE

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• Growing adoption of Databases on the Cloud and DBaaS, but hybrid is not a
trend, it’s reality
• Traditional relational databases were never designed to cope with modern
application requirements.
• Cloud applications require a database that is able to take advantage of and
enable elastic, distributed architecture.
• While also maintaining the performance, resiliency, security and functionality
expected of traditional databases.
Conclusions
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16. Copyright (C) 2016 451 Research LLC
Thank you
matthew.aslett@451research.com
@maslett
www.451research.com

17. The Elastic SQL Database for Applications in the Cloud
NUODB
November 14, 2016

18. DATABASE FOR CLOUD APPLICATIONS
18
Virtualization,
Commodity & Cloud
Scale out / in
ACID
(consistency)
Existing SQL
skills & code
SQL database
abstraction
What everyone wants: What they don’t want to lose
“Elasticity” “SQL”
“I want to elastically scale my SQL RDBMS to the cloud”
Continuous
Availability

19. NuoDB combines the scale-out simplicity, elasticity, and continuous availability that cloud applications
require with the transactional consistency and durability that databases of record demand.
Agility
Respond to market changes
faster:
+ Dynamically add or remove
servers
+ Deploy on public cloud,
private cloud or on-
premises
+ Modify applications faster
with a consistent SQL API
Total Cost of Ownership
Reduce overall costs:
+ Lower database licensing
costs
+ Better server utilization
+ Reuse existing SQL code
and skillsets
+ Provision servers with
demand – no pre-
provisioning
Time to Market
Bring applications to market
faster:
+ Reuse existing SQL logic
and skills
+ Trust the database for data
management logic
Customer Satisfaction
Improve application
experience:
+ Zero downtime
(including server outages
& rolling upgrades)
+ Consistently better
performance
+ Automated redundancy
and disaster recovery
THE ELASTIC SQL DATABASE

20. NuoDB
+ Founded in 2010
+ Management team and investors
are database pioneers
+ Patented elastic SQL database
+ Leading SaaS & on-premises
applications run on NuoDB
+ HQ in Cambridge, MA
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Copyright © 2016 NuoDB

21. KEY IDEA #1: DISTRIBUTED BY DESIGN
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1.Start with a client-server DBMS
2.Try to turn it into a Distributed
System
1.Start with a Distributed System
2.Deliver database services on this
system
DON’T DO
A single logical database
that scales elastically
Compromise database or application
to achieve scale-out

22. KEY IDEA #2: SEPARATION OF DUTIES
22
Separate transactions from storage
One logical database
+ Both tiers survive failures and rolling upgrades at any peer
+ Allocate servers and server types based on workload
Transactions in memory
+ Working data set in memory
+ No shards / explicit partitioning
+ Scale throughput & clients
on-demand
+ Transparent to applications
Storage is redundant & flexible
+ Durable persistence
+ Automatically replicate to
multiple locations
+ Tunable consistency models

23. TETE TE
SM SM
NuoDB ARCHITECTURE IN PRACTICE
NuoDBdatabase
App App App
+ Fully redundant
+ Elastically scalable
+ Continuously available
Available host
SM Storage Manager (SM)
Transaction Engine (TE)TE
Scale-out adds
+ Active/Active across
single DC or multiple AZ’s

24. TYPICAL DEPLOYMENT SCENARIOS
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Copyright © 2016 NuoDB − NuoDB Confidential
Fully Redundant … with snapshot mgmt Scale-Out
Snapshots
Running NuoDB on four hosts (2 TEs
and 2 SMs) provides a fully redundant
deployment of NuoDB that can survive
any host failing.
Running NuoDB on five hosts (2 TEs and 3 SMs)
provides a fully redundant deployment of
NuoDB that can survive any host failing, and
provides for snapshot mgmt.
…
…
To increase throughput, simply add
TEs/SMs to other available machines
on demand.
TE – NuoDB Transaction Engine
SM – NuoDB Storage Manager Active Engines

25. TYPICAL DEPLOYMENT SCENARIOS
25
Copyright © 2016 NuoDB − NuoDB Confidential
Disaster Recovery
Active-Active
(Across Availability Zones)
TE – NuoDB Transaction Engine
SM – NuoDB Storage Manager
Primary Site
Disaster
Recovery Site
Availability Zone 1
Availability Zone 2
Region 1 Region 2
Region 3
Active-Active-Active
(Across Regions)

26. NoSQL
Traditional
RDBMS
DBMS OPTIONS FOR CLOUD
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“Elasticity”
Scaling simplicity, continuous availability
“SQL”
Durability,consistency,recoverability
New
SQL
Cloud
DBMS
“NuoDB was the best
database to support
our need for scaling
up our distributed
network to meet
demand requirements
while maintaining
transactional
consistency and
integrity.”
Bruce Lawler
Co-founder & Chief Product
Officer

27. SUMMARY
+ The Elastic SQL database
 NuoDB is the only database for scaling your business applications to
the cloud
 The elasticity of the cloud without sacrificing the benefits of SQL
 Continuous availability with automated disaster recovery
+ Build your business, reduce your costs
 Improve customer experience and get to market faster while
lowering your overall application and infrastructure costs
27
Copyright © 2016 NuoDB − NuoDB Confidential

28. QUESTIONS & ANSWERS
Use the “Questions” box on your GoToWebinar panel to
submit your questions
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Copyright © 2016 NuoDB − NuoDB Confidential

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The Elastic SQL Database
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