top 20 big data companies 2014

©noticeThis material is copyright by visiongain. It is against the law to reproduce any of this material without the prior written agreement of vision-gain. You cannot photocopy, fax, download to database or duplicate in any other way any of the material contained in this report. Each pur-chase and single copy is for personal use only.

Top 20 Big Data Companies 2014 Competitive Landscape Analysis

www.visiongain.com

Contents 1. Executive Summary

1.1 Big Data Adoption Rising Amongst Enterprises

1.2 Big Data Proving To Be Beneficial to Organizations Across All Sectors

1.3 Big Data Benefits Outweigh the Security Risks

1.4 Ecosystem Members in the Big Data Market

1.5 Big Data Enterprise Migration Driving Growth

1.6 Aim of the Report

1.7 Structure of the Report

1.8 Report Scope

1.9 Highlights in the report include:

1.10 Who is This Report For?

1.11 Methodology

2. Introduction to the Big Data Market

2.1 The Practice of Big Data

2.2 The Concept behind Big Data

2.3 Defining the Term Big Data

2.4 Categorizing Big Data

2.5 Different Types of Big Data

2.6 Business Case for Big Data Analytics

2.7 Enterprise Application for Big Data Analytics

2.8 Big Data a Catalyst for Innovation & Productivity

2.9 Trust Issues & Security Concerns with Regards to Big Data Outsourcing

2.10 Challenges of Big Data

2.11 Big Data Processing Pipeline

2.11.1 Big Data Processing Pipeline – Major Steps

2.11.2 Big Data Processing Pipeline – Common Challenges

2.12 Big Data Technologies

2.12.1 Apache Hadoop

2.12.2 NoSQL Database

www.visiongain.com

Contents 2.12.3 Additional Big Data Technologies

2.13 Visual Representation of Big Data

3. Global Big Data Market Forecasts 2013-2018

3.1 Significant Enterprise Interest Driving the Big Data Market Forward

4. Competitor Positioning in the Big Data Market

4.1 Leading 20 Company Revenues in the Big Data Market

4.2 Composition of the Big Data Market in 2014

5. Leading 20 Companies in the Big Data Market

5.1 IBM Company Overview

5.1.1 IBM Smart Analytics System

5.2 HP Company Overview

5.3 Teradata Company Overview

5.3.1 Teradata Big Data Analytics Offering – Teradata Unified Data

5.4 Dell Company Overview

5.4.1 Kitenga Analytics Suite

5.5 Oracle Company Overview

5.5.1 Oracle Big Data Analytics Solution

5.6 SAP Company Overview

5.6.1 SAP Big Data Analytics Offering

5.7 EMC Company Overview

5.5.1 EMC Products and Services

5.8 Cisco Systems Company Overview

5.9 PwC Company Overview

5.9.1 PwC Big Data Offering

5.10 Microsoft Company Overview

5.10 Microsoft Big Data Analytics – Offerings and Advantages

www.visiongain.com

Contents 5.11 Accenture Company Overview

5.11.1 Accenture Big Data Offering

5.11.2 Accenture Big Data Services

5.12 Palantir Technologies Company Overview

5.12.1 Palantir Technologies Big Data Focus

5.12.1 Palantir Products

5.12.2 Palantir Customers and Focus

5.12.3 Palantir Big Data Analytics Services

5.13 Fusion-io Company Overview

5.13.1 Fusion-io Customers and Market Standing

5.14 SAS Institute Company Overview

5.14.1 SAS Analytics Portfolio Analysis

5.15 Splunk Company Overview

5.15.1 Splunk Big Data Analytics Offering

5.16 Deloitte Company Overview

5.16.1 Big Data Analytics Offerings

5.17 NetApp Company Overview

5.15.1 NetApp Open Solution for Hadoop

5.18 Hitachi Company Overview

5.18.1 Hitachi Big Data Analytics Offering

5.19 Opera Solutions Company Overview

5.19.1 Opera Solutions Big Data Analytics Offerings

5.20 CSC Company Overview

5.20.1 CSC Big Data Analytics Offerings Analysis

5.21 Additional Players in the Big Data Market Ecosystem

6. SWOT Analysis of the Big Data Market

7. Expert Opinion

www.visiongain.com

Contents 7.1 Deloitte

7.1.1 Deloitte Company Background and Involvement in Big Data

7.1.2 Key Trends & Recent Developments in the Big Data Market

7.1.3 Primary Drivers & Restraints of the Big Data Market

7.1.4 Expected Technological Developments in the Big Data Analytics Market

7.1.5 Leading Players in the Big Data Market

7.1.6 Competitive Landscape Outlook

7.1.7 Regional Growth Focus in the Big Data Market

7.1.8 Challenges & Opportunities in the Big Data Market

7.1.9 Final Thoughts

7.2 Fusion-io

7.2.1 Fusion-io Company Background and Involvement in Big Data




7.2.5 Revenue Growth Estimates




7.2.9 Final Thoughts

7.3 IBM

7.3.1 IBM Company Background and Involvement in Big Data


7.3.3 Expected Technological Developments in the Big Data Market



7.3.6 Primary Drivers & Restraints of the Big Data Market

7.3.7 Business Case for Big Data Analytics

7.3.8 Future of IBM in the Big Data Market

7.4 Splunk

www.visiongain.com

Contents 7.4.1 Splunk Company Background and Involvement in Big Data




7.4.5 Revenue Growth Estimates




8. Conclusions

8.1 Enterprise Adaption of Big Data Services

8.2 Choosing the Right Big Data Services

8.3 Increasing Availability of Public Data

8.4 Continued Growth of Big Data Analytics

8.5 Discussion

8.6 Market Share & Outlook for the 20 Leading Big Data Companies

9. Glossary

List of Tables

Table 2.1 Big Data – Defining Factors

Table 2.2 Key Types of Big Data

Table 2.3 Big Data Challenges

Table 2.4 Big Data Processing Pipeline – Major Steps

Table 2.5 Big Data Processing Pipeline – Common Challenges

Table 2.6 Apache Hadoop Modules

Table 2.7 Apache Hadoop Strengths & Limitations

Table 2.8 NoSQL vs SQL Database Summary

www.visiongain.com

Contents Table 2.9 Additional Big Data Technologies

Table 3.1 Global Big Data Market Forecast 2013-2018 ($ bn, AGR %, CAGR%, Cumulative)

Table 4.1 Leading 20 Big Data Companies 2014 (Market Ranking, Revenue, Offerings, Market

Share %)

Table 5.1 IBM Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue

From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)

Table 5.2 IBM Big Data Platform - Key Capabilities

Table 5.3 IBM Big Data Platform - Supporting Services

Table 5.4 IBM Smart Analytics System Summary

Table 5.5 HP Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue


Table 5.6 HAVEn Key Summary (Advantages, Description)

Table 5.7 HAVEn - Technical Specifications

Table 5.8 HAVEn Solutions

Table 5.9 Teradata Company Overview 2014 (Total Revenue, Revenue from Big Data, %

Revenue From Big Data, Global Market Share %, HQ, Ticker, Contact, Website)

Table 5.10 Teradata Unified Data Architecture

Table 5.11 Dell Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue


Table 5.12 Kitenga Analytics Suite - Features and Benefits

Table 5.13 Oracle Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue


Table 5.14 SAP Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue


Table 5.15 SAP Big Data Offerings

Table 5.16 EMC Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue


Table 5.17 EMC Big Data Analytics Solutions

Table 5.18 EMC Big Data Analytics Solutions

www.visiongain.com

Contents Table 5.19 Cisco Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue


Table 5.20 Cisco Big Data Offerings

Table 5.21 PwC Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue

From Big Data, Global Market Share %, HQ, Ticker, Website)

Table 5.22 PwC Big Data Offering

Table 5.23 Microsoft Company Overview 2014 (Total Revenue, Revenue from Big Data, %

Revenue From Big Data, Global Market Share %, HQ, Ticker, Website)

Table 5.24 Microsoft Big Data Analysis Summary

Table 5.25 Accenture Company Overview 2014 (Total Revenue, Revenue from Big Data, %


Table 5.26 Accenture Big Data Services

Table 5.27 Palantir Technologies Company Overview 2014 (Total Revenue, Revenue from Big

Data, % Revenue From Big Data, Global Market Share %, HQ, Contact, Website)

Table 5.28 Palantir Big Data Focus

Table 5.29 Palantir Products

Table 5.30 Palantir Insurance Analytics

Table 5.31 Fusion-io Company Overview 2014 (Total Revenue, Revenue from Big Data, %


Table 5.32 SAS Institute Company Overview 2014 (Total Revenue, Revenue from Big Data, %


Table 5.33 SAS Analytics Portfolio

Table 5.34 Splunk Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue


Table 5.35 Splunk Big Data Analytics Offerings

Table 5.36 Deloitte Company Overview 2014 (Total Revenue, Revenue from Big DAta, %

Revenue From Big Data, Global Market Share %, HQ, Contact, Website)

Table 5.37 Deloitte's Analytics Services

Table 5.38 NetApp Company Overview 2014 (Total Revenue, Revenue from Big Data, %


www.visiongain.com

Contents Table 5.39 Hitachi Company Overview 2014 (Total Revenue, Revenue from Big Data, %


Table 5.40 Hitachi Big Data Analytics Offering - Features and Benefits

Table 5.41 Opera Solutions Company Overview 2014 (Total Revenue, Revenue from Big Data, %

Revenue From Big Data, Global Market Share %, HQ, Website)

Table 5.42 Operas Solutions Big Data Analytics Solutions and Services

Table 5.43 CSC Company Overview 2014 (Total Revenue, Revenue from Big Data, % Revenue


Table 5.44 CSC Big Data Analytics Offerings

Table 5.45 Additional Players in the Big Data Ecosystem

Table 6.1 SWOT Analysis of the Big Data Market 2013-2018

List of Figures

Figure 2.1 Big Data Processing Pipeline - Major Steps and Common Challenges

Figure 2.2 Big Data Visualisation

Figure 3.1 Global Big Data Market Forecast 2013-2018 ($ bn, AGR%)

Figure 4.1 Leading 20 Big Data Companies Market Share 2014 (%)

Figure 5.1 IBM Big Data Market Share 2014 (%)

Figure 5.2 HP Big Data Market Share 2014 (%)

Figure 5.3 Teradata Big Data Market Share 2014 (%)

Figure 5.4 Dell Big Data Market Share 2014 (%)

Figure 5.5 Oracle Big Data Market Share 2014 (%)

Figure 5.6 SAP Big Data Market Share 2014 (%)

Figure 5.7 EMC Big Data Market Share 2014 (%)

Figure 5.8 Cisco Systems Big Data Market Share 2014 (%)

Figure 5.9 PwC Big Data Market Share 2014 (%)

Figure 5.10 Microsoft Big Data Market Share 2014 (%)

Figure 5.11 Accenture Big Data Market Share 2014 (%)

Figure 5.12 Palantir Big Data Market Share 2014 (%)

Figure 5.13 Fusion-io Big Data Market Share 2014 (%)

www.visiongain.com

Contents Figure 5.14 SAS Institute Big Data Market Share 2014 (%)

Figure 5.15 Splunk Institute Big Data Market Share 2014 (%)

Figure 5.16 Deloitte Big Data Market Share 2014 (%)

Figure 5.17 NetApp Big Data Market Share 2014 (%)

Figure 5.18 Hitachi Big Data Market Share 2014 (%)

Figure 5.19 Opera Solutions Big Data Market Share 2014 (%)

Figure 5.20 CSC Big Data Market Share 2014 (%)

Figure 5.21 Rest of the Companies Big Data Market Share 2014 (%)

Companies Mentioned in This Report

1010data

10gen

Accenture

Accion Labs, Inc.

Actian

Actuate

Acunu

Aerospike

Alacer Technology Solutions

Alteryx

Amazon

Amazon Web Services (AWS)

Apache Software Foundation (ASF)

Apixio

Apple Inc.

ArcSight

Aspera

Atos S.A.

Attivio

Autonomy

www.visiongain.com

Contents Avanade

Basho

BIConcepts IT Consulting GmbH

Big Data Partnership

Blue Coat

BlueKai

Booz Allen Hamilton

BPSolutions

Brightlight Consulting, Inc.

BTRG

Buckley Data Group LLC

Calpont

Capgemini

Centrifuge Systems

CGI

Cisco Systems

ClickFox

Cloudera

Concord

Contexti

Couchbase

Crowdflower

CSC

Daman Consulting

DataCrunchers

Dataguise

Datameer

DataPop

Datasift

dataspora

www.visiongain.com

Contents DataStax

DataXu

DDN

Dell

Deloitte

Digital Reasoning

eBay

EcoSolutions Technology Inc.

EMC

Encore Software Services

Ernst & Young (E&Y)

Ethias

Expan

F5 Networks

Facebook

Factual

Findability

Fluidinfo

Focus Business Solutions

Ford

Fractal Analytics

Fujitsu Ltd.

Fusion-io

General Sentiment

GlassHouse Systems Inc.

Global Consulting Solutions LLC

Gnip

GoldBot Consulting

GoodData

Google

www.visiongain.com

Contents GTRI

Guavus

Hadapt

Hexaware Technologies Inc

Hitachi

Hortonworks

HP

HPCC Systems

Huawei

Hyperpublic

Hyve Solutions

i2

IBM

Infochimps

Infomotion GmbH

Informatica

Information Control Corporation

In-Q-Tel

Instagram

Intel

Intelligent Communication (Intelcom)

IQ Associates

iRhythm

iSoftStone Information Technology(Group) Co., Ltd

ISS Inc.

Jaspersoft

Jibes Data Analytic

Juniper Networks

Kaggle

Karmasphere

www.visiongain.com

Contents Kinetic Global Markets

Klarna

Knowesis Technology

Kognitio

KPMG

Lattice Engines

Leap Commerce

Lenovo

Level Seven

Lighthouse

Lilien LLC

Lincube Group AB

Linked-In

Logica

LucidWorks

MapR

MarkLogic

McKenney's

Mercedes

Metamarkets

Microsoft

Microstrategy

Middlecon AB

mLogica

MuSigma

Neo Technology

NES

NetApp

NewsCred

NewVantage

www.visiongain.com

Contents nfrastructure

nPario

OakStream Systems LLC

Offspring Solutions LLC

OpenHeatMap

Opera Solutions

Oracle

Palantir

Palantir Technologies

ParAccel

Paypal

Pentaho

Perficient

Perot Systems

Persistent Systems

Pervasive Software

Philips

Pivotal

Precog

PROTEUS Technologies

PwC

QlikTech

Quantum

Quid

R Square, Inc.

Rackspace

RainStor

ReadyForZero

Recommind

Recorded Future

www.visiongain.com

Contents Red Hat

reHarmony

Reply

RES

RetailNext

Revolution Analytics

Rovio

Salesforce

Samsung

SAP

SAS Institute

SaveWave

SciSpike

Seagate

Sendmail

SGI

Shanghai EC Data Information Technology Co., Ltd.

Sharpe Engineering

Siemens

SiSense

Sociocast

SoftSol

Software AG/Terracotta

Sony

Splunk

Stormpulse

Stream Integration

Sulia

Super Micro

Sybase

www.visiongain.com

Contents Systech Solutions

Systex

Tableau Software

Talend

TamGroup

Tata Consultancy

TCS

Teradata

Teralytics AG

TerraEchos

The Trade Desk

Think Big Analytics

TIBCO Software

Twitter

Vertica Systems

VMware

Voci Technologies Incorporated

WANdisco

WaveStrong

Wavii

Wikipedia

WiPro

WISE MEN

Wonga

Xerox

Yahoo

ZestFinance

www.visiongain.com

Contents Government Agencies and Other Organizations Mentioned in This

Report

IMEC (Interuniversity Microelectronics Centre)

US CIA (Central Intelligence Agency)

US DoD (Department of Defense)

Www.visiongain.com Page 96

Top 20 Big Data Companies 2014: Competitive Landscape Analysis

5.20 CSC Company Overview

Table 5.43 CSC Company Overview 2014 (Total Revenue, Revenue from Big Data, %


2014

Total company revenue $bn $24.5bn

Revenue from Big Data $bn $0.17bn

% of revenue from Big Data 0.7%

Global big data market share % 1.0%

Headquarters Virginia, US.

Ticker CSC

IR Contact [email protected]

Website www.csc.com

Source: Visiongain 2014

Figure 5.20 CSC Big Data Market Share 2014 (%)

Source: Visiongain 2014

Computer Sciences Corporation (CSC) is an American multinational corporation that provides

information technology (IT) services and professional services. CSC offers services such as:

1.0%



• IT and business process outsourcing like systems analysis, applications development,

network operations, end-user computing and data centre management;

• Emerging services such as cloud computing and cybersecurity protection, Infrastructure as a

Service (IaaS), Software as a Service (SaaS), Business Process as a Service (BPaaS),

Platform as a Service (PaaS), Big Data Managed Services and other emerging technologies

and associated service delivery model; and

• A variety of other IT and professional services, including systems integration, management

consulting, technology consulting and other professional services.

5.20.1 CSC Big Data Analytics Offerings Analysis See Table 5.46 below for a detailed summary of CSC’s big data analytics offerings.

Table 5.44 CSC Big Data Analytics Offerings

Service/Solution Description

CSC Business Intelligence

Transformation

Aims to modernize users BI environment by providing a BI strategy and

renovating users capability to achieve a blend of function, agility and cost

required to support business operations and improve organizational

performance.

CSC Data Integration and

Optimization

Combines ETL tools and proprietary methodology to focus on the complex

portions of data transformation, while modern metadata migration engines

enable the bulk of simpler data migration.

CSC Data Warehouse

Implementation

A well-implemented, integrated data warehouse delivers a single view of

core information across all functional departments and analytical systems.

CSC Enterprise Intelligence

Strategy

EI Strategy has the potential to help capitalize on the volume, variety and

velocity of both internal and external data to gain intelligence and take

effective decisions.

CSC Information Strategy and

Governance

Data strategy, roadmap and high-level business case through consultancy

service that offers prioritized, actionable recommendations to align

information assets to tactical and strategic business objectives.



7. Expert Opinion

7.1 Deloitte The following interview was conducted in December 2013. Visiongain would like to thank Jo

Coutuer, Partner at Deloitte Belgium, Public Sector Technology and Analytics, for his participation

in this interview, and providing us with an expert insight on the big data ecosystem.

7.1.1 Deloitte Company Background and Involvement in Big Data Visiongain: Please give us a little background about your company and your big data

service offerings.

Jo Coutuer: Deloitte is an international professional services company with a strong presence in

technology advisory and implementation. Deloitte focusses on transformational projects. These

are projects that lead to a substantial competitive advantage to our clients or projects that have a

strategic significance to our clients’ organisations. One of our technological advisory and

implementation fields is indeed the field of Big Data and Analytics. But before we dive into those

offerings, it is important to understand that Deloitte’s unique value proposition is its multidisciplinary

approach. Whereas Big Data is often defined as a technological challenge by IT companies,

Deloitte approaches the Big Data and Analytics topics both from the business side as well as from

the technological side. We believe that Big Data and Analytics find their reason of existence in the

way they impact our clients’ business, people, processes, ...their bottom line and shareholder

value.

Deloitte is active in three types of Big Data related activities:

1. Advisory services: we challenge our clients in their existing business models and try to find

the appropriate Big-Data-impacted business models with them. We want to make sure our clients

do not become obsolete. Another way to provide value in this segment is by using Big Data driven

techniques to deliver better insights to our clients. A petrol company asked us to prove they had

the best gas pump network for a specific audience. Instead of proving this with a generic high level

consulting approach, we combined various data sources and calculated hundreds of thousands of

potential client cases and showed the strong points and weak points in the network in a fact based,

analytical manner. The credibility and thus the value of such an advice is much higher than “gut

feeling” advice.

top 20 big data companies 2014

Business

challenges of big data

big data companies

big data analytics market

big data adoption

big data outsourcing

big data benefits

practice of big data

term big data