webinar: building a multi-cloud strategy with data autonomy featuring 451 research

Building a Multi-Cloud Strategy with Data Autonomy

December 2017

© DataStax, All Rights Reserved. Company Confidential

Copyright (C) 2017 451 Research LLC

Building for the future, multi-cloud strategy

James Curtis, Senior Analyst, Data Platforms & Analytics


451 Research is a leading IT research & advisory company

3

Founded in 2000

300+ employees, including over 120 analysts

2,000+ clients: Technology & Service providers, corporate

advisory, finance, professional services, and IT decision makers

70,000+ IT professionals, business users and consumers in our research

community

Over 52 million data points published each quarter and 4,500+ reports

published each year

3,000+ technology & service providers under coverage

451 Research and its sister company, Uptime Institute, are the two divisions

of The 451 Group

Headquartered in New York City, with offices in London, Boston, San

Francisco, Washington DC, Mexico, Costa Rica, Brazil, Spain, UAE, Russia,

Taiwan, Singapore and Malaysia

Research & Data

Advisory

Events

Go 2 Market


Changes Ahead with Digital Transformation

4

Digital Transformation is the

investment in new digital

technologies and processes to

not only more effectively

engage customers, partners or

employees, but also cut costs.

4


Digital Transformation: Still Early Days

5

Source: 451 Research VoCUL.

5


Modern Platforms play key role in Digital Transformation

6

Cloud

Platforms

Data

6

Data

Cloud

Platforms

Multi-cloud


8


CHAT BOTS

WEB/SERVER LOGS

ERP, HRM, SCM, CRM

Volume of data vs cost of storage

DATA GROWTH

MOBILE DATA

SOCIAL MEDIA RECOMMENDATION

ENGINES

E-COMMERCE

DIGITAL ASSISTANTS

SENSORS/IOT

REVIEW

SITES

9

CO

ST

OF

ST

OR

AG

E

Data

Cloud

Platforms

Multi-cloud


Approximately what percent of your workloads are deployed in the following environment today? In 2 years?

Source: 451 Research, Voice of the

Enterprise: Workloads and Key Projects,

Cloud Transformation, 2017.

11


Database Execution Venues

12


What is your status with regards to digital transformation?

13

What is your status with regards to digital

transformation?

Source: 451 Research VoCUL.

Data

Cloud

Platforms

Multi-cloud


15


Are We There Yet? Driving to the Digital Transformation

16

The traditional relational database has been

stretched beyond its normal capacity by the needs

of high-volume, highly distributed, or highly

complex applications.

16


LOW LATENCY

AVAILABILITY

ELASTICITY

NoSQL

Think SCALESCALABILITY

COST

17

Data

Cloud

Platforms

Multi-cloud


19

Drivers for Multi-Cloud Adoption

SERVICES

SELECTION

PRICE

DIFFERENTIAL RISK

REDUCTION


CLOUD TRANSFORMATION:

VENDOR EVALUATIONS 2017

IaaS Vendor Selection: Service Performance/Capabilities, Value for Money, and Technical

Support are Table Stakes. Competitive Differentiation Lies Elsewhere

20

37%

45%

46%

49%

52%

52%

55%

56%

71%

72%

81%

Understands my business

Support for multi-cloud/hybrid environments

Ability to partner

Innovation

Geographic footprint

Brand/reputation

Strategic vision

Product/service portfolio breadth

Technical support/expertise

Value for money (TCO/ROI)

Service performance/capabilities

IaaS Vendor Selection Factors

% respondents rating high (8-10 on a 0 to 10-point scale)

Q13. Thinking about the primary IaaS/public cloud vendor your organization would like to work with, how important

are the following attributes when making the decision/selection? Please use a 0-10 scale where 0 is ‘not at all

important’ and 10 is ‘extremely important.’

Source: 451 Research, Voice of the Enterprise: Cloud Transformation Vendor Evaluations 2017

TABLE

STAKES

COMPETITIVE

DIFFERENTIATORS


21


SERVICES

SELECTION

PRICE

DIFFERENTIAL

LOCATION

AVAILABILITY

RISK

REDUCTION


Public cloud region locations open or announced

22

AWS

Azure

Google

IBM

Alibaba

NOTE: As of now,

only five countries

are home to all five

hyperscalers: US,

Germany, Australia,

Singapore, and

Japan

Source: 451 Research, CPI, Q4 2017.22


23


SERVICES

SELECTION

SKILLS

VARIABLE

PRICE

DIFFERENTIAL

LOCATION

AVAILABILITY

RISK

REDUCTION


24


SERVICES

SELECTION

SKILLS

VARIABLE

PRICE

DIFFERENTIAL

LOCATION

AVAILABILITY

RISK

REDUCTION


Key takeaways

25


Thank you

[email protected]@jmscrtswww.451research.com

Enterprises’ perception of public cloud has evolved

2006–2010

2011–2012

Not for enterprise,

not secure

For dev /

testing only

2016–2017

Move everything to

public or hybrid

cloud, most secure

2012–2015

Some production

workloads, secure enough

for specific workloads

2018–

Onward

Multi-cloud

28 © DataStax, All Rights Reserved. Company Confidential

Source: https://www.oreilly.com/ideas/a-multi-cloud-strategy-is-the-foundation-for-digital-transformation

Enterprises are increasingly seeking a multi-cloud strategy

Source: https://blogs.wsj.com/cio/2017/12/04/the-morning-download-cios-must-integrate-growing-multitude-of-clouds

Source: IDC, Barclays Research

Rising Multi-Cloud Deployments Among Enterprises by 2020

No

27%

Yes

73%

Enterprises Adopting a Hybrid Cloud Strategy

Unsure

6%

5–10 clouds

24%

1–2 clouds

17%%

3–4 clouds

27%%

10+ clouds

26%


https://blogs.wsj.com/cio/2017/12/04/the-morning-download-cios-must-integrate-growing-multitude-of-clouds

https://www.oreilly.com/ideas/a-multi-cloud-strategy-is-the-foundation-for-digital-transformation




Enterprises are increasingly seeking a multi-cloud strategy

Source: DataStax 2017 Product Survey

Source: RightScale 2017 State of the Cloud Report

Multi-Cloud

85%

Single private

5%

100% 63% 40% 58%

On-Premise(72% in Production)

Cloud Private Cloud On-Premise &

Cloud

Customer DSE Deployment Plans 4%

24%

51%

12%

4%4% AWS

Azure

Google

Oracle

IBM

Rackspace

85% of enterprises

have a multi-cloud strategy

Multiple private 7%

Multiple public 20%

Hybrid cloud 58%

Single public

9%

No plans

1%




Enterprises data management requirements

Multi-Cloud

Geo-Distributed

Enterprise Application Requirements (CARDS)

Contextual Always-On Real-Time Distributed Scalable

+


Enterprises need data autonomy to achievetheir multi-cloud goals

Data Autonomy is having the ability to retain control of your data, to be “cloud-agnostic” and the

flexibility to manage your data and apps on any public cloud, private cloud, your own data center,

or combination thereof, independent of the underlying infrastructure.

Data Autonomy Requirements

Business Agility

Take advantage of the benefits of various public cloud providers

(eg: price wars, geographic availability, etc.)

Compliance

Meet compliance requirements such as PII, HIPAA, SOX, and EU’s GDPR

Sovereignty

Retain control over your data with respect to where it's geographically located

Governance

Maintain data integrity, security, and availability which helps achieve compliance

Competitive

Your cloud provider could become your competitor


The data layer that provides data autonomy and CARDS

© DataStax, All Rights Reserved.33

Point of Sale Systems

Payment & Processing

Systems

Internet of Things

Systems of Engagement

Systems of Record

Legacy Systems

Data Autonomy

CONTEXTUAL ALWAYS-ON REAL-TIME DISTRIBUTED SCALABLE

+ + + +

CustomerSentiment

& Satisfaction Systems

Social Media Engagement

DATA LAYER

Company Confidential

+

DataStax Enterprise (DSE)

• A unified data layer of database, search, and

analytics, all independent of the public cloud provider

and portable

• Consistent data management layer built for on-prem,

hybrid-, and/or multi-cloud, that can be self-managed

or fully managed by DataStax

– Provides customers data autonomy with flexibility in

infrastructure choice

– Multi-model including tabular, graph, document/JSON,

and key-value

• Consistent security model across entire data layer

– Row and columnar level control of your data helps you

achieve data governance and compliance


DSE = Data Autonomy + CARDS

Cloud DBaaS

Traditional Databases

STRONGWEAK

WE

AK

ST

RO

NG

Cloud Application Requirements

Da

ta A

uto

no

my

❑ Contextual

❑ Always-On

❑ Real-Time

❑ Distributed

❑ Scalable

❑ Agility

❑ Sovereignty

❑ Compliance

❑ Governance

❑ Competitive


The Most Innovative CompaniesUse DataStax


Summary

• Enterprises’ data management requirements have evolved

• Multi-cloud strategy

• CARDS application requirements

– Contextual, Always on, Real time, Distributed, Scalable

• Data Autonomy is critical to achieve your multi-cloud goals

• Business agility, Compliance, Sovereignty, Governance, Competitive

• DataStax Enterprise (DSE) in the ONLY data layer that provides both – plus as a white glove, managed service on DataStax Managed Cloud

© DataStax, All Rights Reserved.37 Company Confidential

Thank you
