Webinar - Security and Manageability: Key Criteria in Selecting Enterprise-Grade Big Data Stacks

The drivers and challenges for NoSQL

Matthew Aslett
Research Director, Data Management and Analytics, 451 Research

© 2013 by The 451 Group. All rights reserved

In a nutshell
 What has driven the development and adoption of NoSQL
databases?

 How are they being used?

 What are the challenges for adopting NoSQL databases?

 How are these being addressed by the associated vendors?


Company Overview

 One company with 3 operating  200+ staff
divisions  1,300+ client organizations:
 Syndicated research, advisory, enterprises, vendors, service
professional services, datacenter providers, and investment firms
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Unique combination of research, analysis & data
Emerging tech market segment focus
Daily qualitative & quantitative insight
Analyst advisory & Go-to-market support
Global events


 Matthew Aslett
• Research Director, Data Management and Analytics
 matthew.aslett@451research.com
 www.twitter.com/maslett

 Responsible for data management
and analytics research agenda

 Focus on operational and analytic
databases, including NoSQL,
NewSQL, and Hadoop

 With 451 Research since 2007


What has driven the development and adoption of NoSQL?
 NoSQL, NewSQL and Beyond
• Assessing the drivers behind the development and adoption
of NoSQL and NewSQL databases, as well as data
grid/caching technologies
• Released April 2011
• Role of open source in driving innovation
• sales@the451group.com


SPRAINED RELATIONAL DATABASES

Photo credit:
Foxtongue on Flickr
http://www.flickr.com/photos/foxtongue/4
844016087/


Database SPRAIN
 The traditional relational database has been stretched beyond its
normal capacity by the needs of high-volume, highly distributed or
highly complex applications.

 There are workarounds – such as DIY sharding – but manual,
homegrown efforts can result in database administrators being
stretched beyond their normal capacity in terms of managing
complexity.

 Scalability
 Performance
 Relaxed consistency Increased willingness to look towards
 Agility emerging alternatives
 Intricacy
 Necessity


Necessity is the mother of NoSQL
 Hadoop and NoSQL innovation did not come from existing database
and storage suppliers

 It came from Google, Amazon, Facebook, Yahoo, LinkedIn and open
source communities…




“We couldn’t bet the company on other companies building
the answer for us.”
– Werner Vogels, Amazon CTO




“We couldn’t bet the company on other companies building
the answer for us.”
– Werner Vogels, Amazon CTO
 This has generated a new breed of data management start-ups, and
it is continuing…

 Also significantly altered the relationship between customer and
vendor, and changed the database landscape enormously


Drivers for NoSQL adoption
SPRAIN… and:

New capabilities for new Support for modern
architectures languages/data formats
 For many companies NoSQL  Including Java, JavaScript,
databases are becoming a Erlang, Scala and Ruby, as well
strategic choice for new as alternative data models
application development such as document and graph
projects designed to take models, as well as data
advantage of distributed formats including JSON
architectures and elastic
infrastructure.


Drivers for NoSQL adoption
SPRAIN… and:

Suitability for agile Availability of cloud-based
development services
 NoSQL database technologies  NoSQL technologies were
allow rapid development of ‘born of the cloud’ and the
applications that persist data availability of NoSQL
in simple, schema-free databases on other public,
models, enabling developers private and hybrid cloud
to focus their attention on platforms can be expected to
core functionality, rather than drive adoption for new
database schema modeling. application development.


How are NoSQL databases being used?

Web applications
• social games
• SaaS
• e-commerce systems
• clickstream analysis
• ad and offer targeting

Enterprise applications
• event monitoring
• sensor data
• compliance and
regulatory reporting
• intelligence analysis
• fraud detection


How are NoSQL databases being used?

Web applications
• social games
• SaaS
• e-commerce systems
• clickstream analysis
• ad and offer targeting Interactive applications
• random reads and writes
• real-time
Enterprise applications • low, predictable latency
• event monitoring • non-relational data
• sensor data
• compliance and
regulatory reporting
• intelligence analysis
• fraud detection


Challenges for NoSQL adoption
MySQL vs NoSQL and NewSQL: 2011-2015
 Assessing the competitive dynamic
 Released May 2012
 Including market sizing estimates
for all three sectors
 Survey of 200+ database users



Perceived lack of Lack of buy-in at
maturity/functionality purchasing level
 NoSQL databases lack some of  While NoSQL databases are
the features and functionality undoubtedly being embraced
of incumbent relational by developers,
databases – often by design. In understanding of their
addition, NoSQL databases can
be perceived as less mature in potential merits by
terms of security, reliability enterprise decision-makers is
and management capabilities. lacking at this stage. This is
particularly true at the
purchasing level in
conservative businesses.



New approaches require Incompatible with existing
investment in new skills applications/data formats
 Later adopters are likely to be  Moving from a relational to a
challenged when it comes to non-relational database
finding people within their model and to new data
organization with the skills to formats adds a layer of
take advantage of NoSQL
complexity that will naturally
slow the adoption of NoSQL
as a replacement for
relational databases


How are these being addressed by vendors?

Perceived lack of Lack of buy-in at
maturity/functionality purchasing level
 Addition of security and  Same challenge faced by all
reliability functionality over new technologies - MySQL
time went through the same
process
 Improved management tooling  Developer adoption lays the
foundations for vendor-
relationships


How are these being addressed by vendors?

New approaches require Incompatible with existing
investment in new skills applications/data formats
 Balanced by interest in new  NoSQL database are largely
development languages and being deployed for new
data formats projects, or to augment
relational database
 Increased use of familiar data
 Increased use of familiar
formats and SQL-like
interfaces and support for functionality and interfaces
existing standards more familiar to relational
DBAs


Conclusions
 NoSQL development was driven by multiple factors, including
scalability, performance, relaxed consistency, agility, intricacy, and
most importantly necessity


Conclusions

 Adoption drivers include new capabilities for new architectures,
support for modern languages/data formats, suitability for agile
development, and availability of cloud services


Conclusions


 Adoption challenges include a perceived lack of
maturity/functionality, lack of buy-in at purchasing level, need for
new skills, and incompatibility with existing applications/data
formats


Conclusions


 Adoption challenges include a perceived lack of
maturity/functionality, lack of buy-in at purchasing level, need for
new skills, and incompatibility with existing applications/data
formats

 Vendors are responding with security and reliability functionality,
advanced tooling, SQL-like functionality and interfaces


Thank you.
matthew.aslett@451research.com
@maslett

Photo credit: swisscan on Flickr http://bit.ly/HCZCRQ


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