tracxn research — big data infrastructure landscape, september 2016

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Page 1: Tracxn Research — Big Data Infrastructure Landscape, September 2016
Page 2: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

TracxnWorld’s Largest Startup Research Platform

2

Page 3: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 20163

Contents

Topic Page No.

Scope of Report 04

Entrepreneur Activity 06

Investment Trend 10

Who is Investing 18

Exit Outlook - IPO, Acquisitions 22

Sub Sector Analysis 25

Interesting Companies 42

Useful Links 46

Company List 48

Team 90

Page 4: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 20164

Sector Overview

Scope of report

The report covers companies that provide technologies for Big Data storage and Processing. Companies providing BI andAnalytical tools and platforms for Data Analysts and Data Scientists to derive insights from Big Data, Applications built for aspecific market or use case using Big Data Technologies are not covered in Big Data Infrastructure.

The scope of this report includes equity as well as debt funding received by the companies.

Business Model Description

Big Data StackCompanies that provide a complete stack of technologies as a single platform for all Big Data needs of acustomer

Operational Processing Companies that offer technologies used for transactional workloads, OLTP processing

Analytical Processing Companies that offer technologies used for analytical workloads , OLAP processing

Real time Processing Companies that provide technologies for handling streaming data that flows while the compute logic is at rest.

Application Companies that offer technologies that support or enable building and management of Big Data Applications

Management Tools Tools that are used for managing Big Data Infrastructure

General Purpose Companies that offer technologies that enable multiple usage types

Page 5: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

Scope of Report

Entrepreneur Activity

Investment Trend

Who is Investing

Exit Outlook - IPO, Acquisitions

Sub Sector Analysis

Interesting Companies

Useful Links

Company List

Team

5

Page 6: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

25 26

45

29

25 26

1

0

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2010 2011 2012 2013 2014 2015 2016

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YoY – Number of companies founded

DataStax Hortonworks Pivotal Software Databricks Confluent Cockroach Labs SnappyData

NuoDB MemSQL Elastic Transwarp Cazena Dremio

Page 7: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 20167

Large Upcoming Sectors

Page 8: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 20168

Niche Upcoming Sectors

Page 9: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

Scope of Report

Entrepreneur Activity

Investment Trend

Who is Investing

Exit Outlook - IPO, Acquisitions

Sub Sector Analysis

Interesting Companies

Useful Links

Company List

Team

9

Page 10: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201610

YoY – Number of Rounds and Total Funding

Note: The funding includes debt rounds also.

$61M

$159M $149M

$276M

$421M

$1.7B

$2.0B

$727M

$1.1B

13

22

28

36

59

67

54

58

37

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16

32

48

64

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2008 2009 2010 2011 2012 2013 2014 2015 2016

Nu

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(in

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Funding Amount Number of Rounds

Page 11: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201611

YoY – Number of Rounds by Stage

Page 12: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201612

YoY – Funding by Stage

Page 13: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201613

Average Ticket Size – Early Stage

Page 14: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201614

Top investments in last one year

Page 15: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201615

Top investments in last one year

Page 16: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201616

Funnel view of Sector

Page 17: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

Scope of Report

Entrepreneur Activity

Investment Trend

Who is Investing

Exit Outlook - IPO, Acquisitions

Sub Sector Analysis

Interesting Companies

Useful Links

Company List

Team

17

Page 18: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201618

Most Active Investors in Sector

28

22

2019

17

15 15

1312

10

0

6

12

18

24

30

Accel Partners Sequoia Capital Data Collective LightspeedVenture Partners

NEA Ignition Partners Intel Capital BenchmarkCapital

In-Q-Tel Bain CapitalVentures

Tota

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f R

ou

nd

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StreamBase Clustrix BlueData Nutanix Aerospike BlueData Talena Cockroach Labs StreamBase Lightbend

Alphablox Cockroach Labs Compose TimesTen Vertica BlueData Software Lightbend Terracotta Paxata DGraph

Page 19: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201619

Where are Top Investors investing

Page 20: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201620

Top Investor by Stage of Entry

Page 21: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

Scope of Report

Entrepreneur Activity

Investment Trend

Who is Investing

Exit Outlook - IPO, Acquisitions

Sub Sector Analysis

Interesting Companies

Useful Links

Company List

Team

21

Page 22: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201622

Top IPOs

IPO Date Company OverviewFunding Amount

Mcap at IPOExch:Ticker

11-08-2016 sgi.comSGI

(Fremont, 1980)

High-performance computing hardware manufacturerMayfield, InterWest Partners, Sevin Rosen Funds

SGI

12-12-2014 hortonworks.comHortonworks

(Palo Alto, 2011)

Commercial version of Apache HadoopYahoo, Hewlett-Packard, Index Ventures, Benchmark Capital, BlackRock, TenayaCapital, Passport Capital, Texas Atlantic Capital

$248MHDP

14-092012 wandisco.comWANdisco

(San Ramon, 2005)

Data Replication and downtime recovery in HadoopBlackRock, Legal & General $45M

OTC:WANSF

10-01-2003 attunity.comAttunity

(Burlington, 1988)

Big Data Management SolutionsViola Group, Viola Credit, ProSeed Venture Capital Fund

NASDAQ:ATTU

Page 23: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201623

Major Acquisitions in last one year

Page 24: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

Scope of Report

Entrepreneur Activity

Investment Trend

Who is Investing

Exit Outlook - IPO, Acquisitions

Sub Sector Analysis

Interesting Companies

Useful Links

Company List

Team

2424

Page 25: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201625

September 2016Tracxn BlueBox : Big Data Infrastructure

250+ companies in the sector, $4.9 B invested in last 5 years, $1.43 B invested in 2015/16

Page 26: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201626

Top Business Models by Funding

$3.2B

$1.4B

$949M$782M

$263M $175M$73M $24M

0

500

1000

1500

2000

2500

3000

3500

Big Data Stack OperationalProcessing

Analytical Processing Management Tools Realtime Processing Application General Purpose Distributed FileSystem

Tota

l Fu

nd

ing

Am

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nt

(in

Mill

ion

s)

# Cos. 7 69 88 49 41 15 10 6

Avg. Age 2010.86 2009.06 2009.14 2007.61 2007.95 2009.07 2006.30 2011.33

Pivotal Software MongoDB Elastic Nutanix StreamBase Voltage BlueData Software InktankProtected Tweets

Cloudera DataStax Greenplum Trifacta GigaSpaces Lightbend Tesora corp Alluxio

Page 27: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201627

Big Data Stack – Entrepreneur Activity and Investment Trend

Page 28: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201628

Big Data Stack – Most Funded Companies

Page 29: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201629

Operational Processing – Business Model Description

Page 30: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201630

Operational Processing – Entrepreneur Activity and Investment Trend

Page 31: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201631

Operational Processing – Most Funded Companies

Page 32: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201632

Analytical Processing – Business Model Description

Page 33: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201633

Analytical Processing – Entrepreneur Activity and Investment Trend

Page 34: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201634

Analytical Processing – Most Funded Companies

Page 35: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201635

Management Tools – Business Model Description

Page 36: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201636

Management Tools – Entrepreneur Activity and Investment Trend

Page 37: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201637

Management Tools – Most Funded Companies

Page 38: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201638

Realtime Processing – Business Model Description

Page 39: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201639

Realtime Processing – Entrepreneur Activity and Investment Trend

Page 40: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201640

Realtime Processing – Most Funded Companies

Page 41: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

Scope of Report

Entrepreneur Activity

Investment Trend

Who is Investing

Exit Outlook - IPO, Acquisitions

Sub Sector Analysis

Interesting Companies

Useful Links

Company List

Team

4141

Page 42: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

Company Overview Business ModelTotal

Funding

cazena.comCazena

(2014, Sunnyvale)

Big Data as a Service

Andreessen Horowitz, North Bridge Venture Partners, Formation 8Analytical Processing $28M

42

Interesting Series A Companies

Curated list of companies by the sector analyst are defined as Interesting

Page 43: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201643

Interesting Late Stage Companies

Page 44: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201644

Top Funded Deadpooled Companies

Page 45: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

Scope of Report

Entrepreneur Activity

Investment Trend

Who is Investing

Exit Outlook - IPO, Acquisitions

Sub Sector Analysis

Interesting Companies

Useful Links

Company List

Team

45

Page 46: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201646

Useful Links

Slide Title Content Platform Link

List of All Companies in readable format Companies Link

Large Upcoming Sectors Entrepreneur Activity Link

Top investments in last one year Investment Trend Link

Top IPOs in last three years Exit Outlook - IPO, Acquisitions Link

Major Acquisitions in last one year Exit Outlook - IPO, Acquisitions Link

Big Data Stack – Most Funded Companies Sub Sector Understand Link

Operational Processing – Most Funded companies Sub Sector Understand Link

Analytical Processing – Most Funded Companies Sub Sector Understand Link

Real time Processing – Most Funded Companies Sub Sector Understand Link

Application – Most Funded companies Sub Sector Understand Link

Management Tools – Most Funded companies Sub Sector Understand Link

Page 47: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

Scope of Report

Entrepreneur Activity

Investment Trend

Who is Investing

Exit Outlook - IPO, Acquisitions

Sub Sector Analysis

Interesting Companies

Useful Links

Company List

Team

47

Page 48: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201648

Big Data Infrastructure – List of Companies

Big Data Stack

Operational Processing

Analytical Processing

Management Tools

Realtime Processing

ApplicationGeneral Purpose

Distributed File System

164 FUNDED COMPANIES AND 120 UNFUNDED COMPANIES

COVERS THE FOLLOWING SECTORS

Page 49: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201649

Big Data StackCompany Overview Business Model Total Funding

Cloudera(2008, Palo Alto)

Enterprise support for Apache HadoopAccel Partners, Greylock Partners, Intel, GV, Meritech Capital, Glynn Capital, DAG Ventures, Ignition Partners, T. Rowe Price, In-Q-Tel, MSD Capital, Rising Tide Fund, Darwin Ventures, Rising Tide Fund

$1.04B

Hortonworks(2011, Palo Alto)

Commercial version of Apache HadoopYahoo, Hewlett-Packard, Index Ventures, Benchmark Capital, BlackRock, Tenaya Capital, Passport Capital, Texas Atlantic Capital

$248M

MapR Technologies(2009, San Jose)

Hadoop enterprise-grade platformLightspeed Venture Partners, Redpoint Ventures, NEA, Mayfield, Qualcomm Ventures, Silicon Valley Bank, Google Capital, Future Fund

$194M

Stratio(2013, Palo Alto)

Platform for Batch, Interactive and Stream Processing Using SparkAdara Ventures $2.6M

Aliyun(2009, Hangzhou)

Cloud computing and Internet-based business management software services

Datoop(2014, Gurgaon)

Big Data analytics platform

Go to BM List >>Operational

Processing

Page 50: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201650

Operational Processing (1/9)Company Overview Business Model Total Funding

TransLattice(2007, Santa Clara)

Geographically Distributed DatabaseDCM Ventures $30M

Compose(2010, San Mateo)

Database as-a-service for multiple databasesY Combinator, SV Angel, Trinity Ventures, Webb Investment Network, Data Collective, Lerer Hippeau Ventures

$6.42M

Orchestrate(2013, Portland)

Databases as a Service | NoSQLTrue Ventures, Frontline Ventures, EPIC Ventures, Resonant Venture Partners, PIE

$3.02M

Optalysys(2013, Wakefield)

Optical Processing Technology for Big DataDARPA, Grant Thornton $664.8k

Kurobase(2013, San Mateo)

Enterprise cloud data platform$280K

Zorba(2010, Menlo Park)

Open-Source NoSQL Query Processor

Datomic(2003, Durham)

Operational data store | NoSQL

x Systems(1993, Palo Alto)

Time Series Database

Big Data Stack << Go to BM List >>Analytical

Processing

Page 51: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201651

Operational Processing (2/9)Company Overview Business Model Total Funding

ObjectRocket(2012, Pleasanton)

Cloud Database as-a-Service on MongoDB and Redis.

ScaleGrid(2012, Bellevue)

DBaaS for MongoDB, MySQL and MS SQLAngelPad

ParaStack(2013, Union City)

Big Data Management as a Service.

MongoDB(2007, New York City)

NoSQL databaseRed Hat, Salesforce, Sequoia Capital, NEA, Union Square Ventures, EMC, Goldman Sachs, Intel Capital, Flybridge Capital Partners, Altimeter Capital, In-Q-Tel

Document Store $311M

MarkLogic(2001, San Carlos)

Enterprise NoSQL DatabaseSequoia Capital, Tenaya Capital, Lehman Brothers, Northgate, Millennium Technology Value Partners, Wellington Management, Arrowpoint Partners

Document Store $172.5M

Couchbase(2009, Mountain View)

NoSQL document oriented database technologyAccel Partners, Redpoint Ventures, Mayfield, Adams Street Partners, Ignition Partners, WestSummit Capital, North Bridge Venture Partners, Sorenson Capital, DOCOMO Innovations

Document Store $146M

SequoiaDB(2012, Shenzhen)

Open source, document-oriented NoSQL DatabaseDCM Ventures, Qiming Venture Partners Document Store $20M

Big Data Stack << Go to BM List >>Analytical

Processing

Page 52: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201652

Operational Processing (3/9)

Big Data Stack << Go to BM List >>Analytical

Processing

Page 53: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201653

Operational Processing (4/9)

Big Data Stack << Go to BM List >>Analytical

Processing

Page 54: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201654

Operational Processing (5/9)

Big Data Stack << Go to BM List >>Analytical

Processing

Page 55: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201655

Operational Processing (6/9)

Big Data Stack << Go to BM List >>Analytical

Processing

Page 56: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201656

Operational Processing (7/9)

Big Data Stack << Go to BM List >>Analytical

Processing

Page 57: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201657

Operational Processing (8/9)

Big Data Stack << Go to BM List >>Analytical

Processing

Page 58: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201658

Operational Processing (9/9)

Big Data Stack << Go to BM List >>Analytical

Processing

Page 59: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201659

Analytical Processing (1/12)

Operational

Processing<< Go to BM List >> Management Tools

Page 60: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201660

Analytical Processing (2/12)

Operational

Processing<< Go to BM List >> Management Tools

Page 61: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201661

Analytical Processing (3/12)

Operational

Processing<< Go to BM List >> Management Tools

Page 62: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201662

Analytical Processing (4/12)

Operational

Processing<< Go to BM List >> Management Tools

Page 63: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201663

Analytical Processing (5/12)

Operational

Processing<< Go to BM List >> Management Tools

Page 64: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201664

Analytical Processing (6/12)

Operational

Processing<< Go to BM List >> Management Tools

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Big Data Infrastructure Report, September 201665

Analytical Processing (7/12)

Operational

Processing<< Go to BM List >> Management Tools

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Big Data Infrastructure Report, September 201666

Analytical Processing (8/12)

Operational

Processing<< Go to BM List >> Management Tools

Page 67: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201667

Analytical Processing (9/12)

Operational

Processing<< Go to BM List >> Management Tools

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Big Data Infrastructure Report, September 201668

Analytical Processing (10/12)

Operational

Processing<< Go to BM List >> Management Tools

Page 69: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201669

Analytical Processing (11/12)

Operational

Processing<< Go to BM List >> Management Tools

Page 70: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201670

Analytical Processing (12/12)

Operational

Processing<< Go to BM List >> Management Tools

Page 71: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201671

Management Tools (1/7)

Analytical

Processing<< Go to BM List >>

Realtime

Processing

Page 72: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201672

Management Tools (2/7)

Analytical

Processing<< Go to BM List >>

Realtime

Processing

Page 73: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201673

Management Tools (3/7)

Analytical

Processing<< Go to BM List >>

Realtime

Processing

Page 74: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201674

Management Tools (4/7)

Analytical

Processing<< Go to BM List >>

Realtime

Processing

Page 75: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201675

Management Tools (5/7)

Analytical

Processing<< Go to BM List >>

Realtime

Processing

Page 76: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201676

Management Tools (6/7)

Analytical

Processing<< Go to BM List >>

Realtime

Processing

Page 77: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201677

Management Tools (7/7)

Analytical

Processing<< Go to BM List >>

Realtime

Processing

Page 78: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201678

Realtime Processing (1/6)

Management

Tools<< Go to BM List >> Application

Page 79: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201679

Realtime Processing (2/6)

Management

Tools<< Go to BM List >> Application

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Big Data Infrastructure Report, September 201680

Realtime Processing (3/6)

Management

Tools<< Go to BM List >> Application

Page 81: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201681

Realtime Processing (4/6)

Management

Tools<< Go to BM List >> Application

Page 82: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201682

Realtime Processing (5/6)

Management

Tools<< Go to BM List >> Application

Page 83: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201683

Realtime Processing (6/6)

Management

Tools<< Go to BM List >> Application

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Big Data Infrastructure Report, September 201684

Application (1/2)

Realtime

Processing<< Go to BM List >> General Purpose

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Big Data Infrastructure Report, September 201685

Application (2/2)

Realtime

Processing<< Go to BM List >> General Purpose

Page 86: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201686

General Purpose (1/2)

Application << Go to BM List >>Distributed File

System

Page 87: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201687

General Purpose (2/2)

Application << Go to BM List >>Distributed File

System

Page 88: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 201688

Distributed File System

General Purpose << Go to BM List

Page 89: Tracxn Research — Big Data Infrastructure Landscape, September 2016

Big Data Infrastructure Report, September 2016

Scope of Report

Entrepreneur Activity

Investment Trend

Who is Investing

Exit Outlook - IPO, Acquisitions

Sub Sector Analysis

Interesting Companies

Useful Links

Company List

Team

89