key database criteria for cloud applications

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



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.


DBaaS Adoption TrendsSource: 451 Research Market Monitor

2015 2016 2017 2018 2019 202005000

10000150002000025000300003500040000450005000055000

$ in

M48% CAGR expected for

Operational DBaaS

13%CAGR expected for Operational databases

Operational databases



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.


Phases of cloud adoption

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• Hybrid is not a trend, it’s reality


Requirement drivers

Social

MobileApplication

Global

Interactive

Local

9


Requirement drivers

SQL

SchemalessDeveloper

APIs

REST

Flexible

10


Requirement drivers

11

Distributed

ScalableArchitecture

Virtual

Containers

Elastic


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 12


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


Key Database Criteria for Cloud Applications

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Public, private, hybrid cloud.

Combined operational and analyticprocessing

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


• 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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Thank [email protected]@maslettwww.451research.com

The Elastic SQL Database for Applications in the Cloud

NUODBMay 2, 2023

DATABASE FOR CLOUD APPLICATIONS

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Virtualization, Commodity & Cloud Scale out / in ACID

(consistency)Existing SQLskills & 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”

ContinuousAvailability

NuoDB combines the scale-out simplicity, elasticity, and continuous availability that cloud applicationsrequire with the transactional consistency and durability that databases of record demand.

AgilityRespond 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 OwnershipReduce overall costs:+ Lower database licensing

costs+ Better server utilization+ Reuse existing SQL code

and skillsets+ Provision servers with

demand – no pre-provisioning

Time to MarketBring applications to market faster:+ Reuse existing SQL logic

and skills+ Trust the database for data

management logic

Customer SatisfactionImprove application experience:+ Zero downtime

(including server outages& rolling upgrades)

+ Consistently better performance

+ Automated redundancy and disaster recovery

THE ELASTIC SQL DATABASE

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

KEY IDEA #1: DISTRIBUTED BY DESIGN

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1. Start with a client-server DBMS2. Try to turn it into a Distributed

System

1. Start with a Distributed System2. Deliver database services on this

system

DON’T DO

A single logical database that scales elastically

Compromise database or application to achieve scale-out

22KEY IDEA #2: SEPARATION OF DUTIES

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

TETE TE

SM SM

NuoDB ARCHITECTURE IN PRACTICE

Nuo

DB d

atab

ase

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

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 EngineSM – NuoDB Storage Manager Active Engines

TYPICAL DEPLOYMENT SCENARIOS

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Disaster Recovery Active-Active(Across Availability Zones)

TE – NuoDB Transaction EngineSM – 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)

NoSQL

Traditional RDBMS

DBMS OPTIONS FOR CLOUD 26

“Elasticity”Scaling simplicity, continuous availability

“SQL

”D

urab

ility

, con

sist

ency

, rec

over

abili

ty

NewSQL

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 LawlerCo-founder & Chief Product Officer

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

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