June 2016
TRACXN REPORT : BIG DATA ANALYTICS
Big Data Analytics, June 2016
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2
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Big Data Analytics, June 2016
Contents
Topic Page No.
Scope of Report 05
Entrepreneur Activity 07
Investment Trend 09
Who is Investing 17
Exit Outlook - IPO, Acquisitions 21
Big Data Analytics – Insights, Market Trends 23
Sub Sector Analysis 25
Company List 43
Team 118
3
3
Big Data Analytics, June 20164
Illustrative Sectors We Track
ENTERPRISEINFRASTRUCTURE
TECH
SECURITY
STORAGE
NETWORKING
MOBILITY
IT OPS
CLOUD INFRASTRUCTURE
API MANAGEMENT
BIGDATA INFRASTRUCTURE
INTERNET OF THINGS
3D PRINTING
EDUCATION
CONSUMER
MARKETPLACES
SUBSCRIPTION COMM.
FOOD TECH
INTERNET FIRST BRANDS
UBER FOR X
SECOND HAND GOODS
TRAVEL
GAMING
EDUCATION IT
SELF LEARNING
HEALTHCARE
MOBILE
MOBILE COMMERCE
MOBILE PAYMENTS
MOBILE MARKETING
MOBILE DEV TOOLS
MOBILE HEALTH
MOBILE GAMING
MOBILE LEARNING
MOBILE COMMUNICATION
LIFE SCIENCES
DIGITAL HEALTH
FINTECH
ENTERPRISEAPPLICATIONS
SAAS
MOBILE-FIRST ENT. APPS
INTELLIGENT ENT. APPS
OPEN SOURCE
RETAIL TECH
MARKETING TECH
BIG DATA ANALYTICS
VERTICAL SAAS
BITCOIN
PAYMENTS
Big Data Analytics, June 20165
Sector Overview
Scope of report
The report covers companies that provide Big Data Analytics solutions for data discovery, data integration, visualization, datascience and advanced predictive analytics. It excludes services and consultancies that use tech product of other companies fordata analytics.
Report also covers companies that provide Big Data Analytics platform for Heavy Industries, Finance and other verticals.
The funding details provided in the report include venture capital/private equity funding rounds and excludes debt financing andgrants/prize money.
Big Data Analytics, June 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Big Data Analytics – Insights, Market Trends
Sub Sector Analysis
Company List
Team
6
6
Big Data Analytics, June 20167
YoY – Number of companies founded
10
24
3837 37
27
0
8
16
24
32
40
2010 2011 2012 2013 2014 2015
No
. of
Co
mp
anie
s
Alteryx Looker ThoughtSpot BBD Uptake Ndustrial.io
DataSift Platfora Trifacta Dato UNIFi Software Outlier
Big Data Analytics, June 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Big Data Analytics – Insights, Market Trends
Sub Sector Analysis
Company List
Team
8
8
Big Data Analytics, June 20169
YoY – Number of Rounds and Total Funding
$128M$88M
$227M
$346M $353M
$847M
$1B
$1.8B
$399M14
1819
26
45
68
51
73
25
0
16
32
48
64
80
0
400
800
1200
1600
2000
2008 2009 2010 2011 2012 2013 2014 2015 2016
Nu
mb
er of R
ou
nd
sFu
nd
ing
Am
ou
nt
(in
Mill
ion
s)
Funding Amount Number of Rounds
Big Data Analytics, June 201610
YoY – Number of Rounds by Stage
Big Data Analytics, June 201611
YoY – Funding by Stage
Big Data Analytics, June 201612
Average Ticket Size – Early Stage
Big Data Analytics, June 201613
Top investments in last one year
Big Data Analytics, June 201614
Top investments in last one year
Big Data Analytics, June 201615
Funnel view of Sector
Big Data Analytics, June 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Big Data Analytics – Insights, Market Trends
Sub Sector Analysis
Company List
Team
16
16
Big Data Analytics, June 201617
Most Active Investors in Sector
17
1514
13
109 9
8 8 8
0
4
7
11
14
18
NEA AndreessenHorowitz
Accel Intel Khosla Madrona Redpoint A Ventures GE Ventures Kleiner Perkins
Tota
l Nu
mb
er o
f C
om
pan
ies
Pentaho SnapLogic Trifacta Guavus Ayasdi Context Relevant Looker DataSift Ayasdi OSIsoft
DataRobot Platfora Zoomdata Endeca ThoughtSpot Dato Datameer DataRobot Maana Inc Ayasdi
Big Data Analytics, June 201618
Where are Top Investors investing
Big Data Analytics, June 201619
Top Investor by Stage of Entry
Big Data Analytics, June 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Big Data Analytics – Insights, Market Trends
Sub Sector Analysis
Company List
Team
20
20
Big Data Analytics, June 201621
Major Acquisitions in last one year
Date Company Acquirer Deal size OverviewTotal
Funding
04/20/2016 lexmark.comLexmark
(Lexington, 1990)apexmic.com 4.0B
Enterprise Search
03/22/2016 sense.ioSense
(California, 2012)cloudera.com
Data Science Platform as a ServiceGranite Ventures LLC, Illuminate
$1.1M
01/19/2016 aimlogic.comAimLogic
(Las Vegas, 2014)nccdirect.com
Predictive Analytics for lead scoring
01/16/2016 iris-analytics.com
Iris Analytics(Frankfurt, 2000)
ibm.comReal-time decisions for improved fraud and risk control
01/14/2016 listenlogic.comListenLogic
(San Jose, 2007)marlinequity.com
Social Business Intelligence Analytics
11/18/2015 syncsort.comSyncsort
(Woodcliff Lake, 1968)clearlakecapital.com
Big Data Integration
10/26/2015 parstream.comParStream
(Cologne, 2008)cisco.com
Analytics for IoTCrunchFund, Khosla Ventures, Baker Capital, Tola Capital, Data Collective
$13.6M
08/7/2015 informatica.comInformatica
(Redwood City, 1993)permira.com Data Integration Software
Big Data Analytics, June 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Big Data Analytics – Insights, Market Trends
Sub Sector Analysis
Company List
Team
22
22
Big Data Analytics, June 201623
Big Data Analytics – Insights, Market Trends
• Big Data market was estimated to be $6.8 billion in 2012; and is projected to grow by almost 40% every year. [Source 1]
• The global Business Intelligence and Analytics Software Market is expected to grow from $17.90B in 2014 to $26.78B by2019, at a Compound Annual Growth Rate (CAGR) of 8.4%. [Source 2]
• Big Data Analytics saw significant amount of funding in 2015/16 with total funding of $2.26B.
• Contextual Data Analytics saw significant increase in funding from 2014 to 2015, receiving ~1B in 2015. Palantir received themost amount.
• Advanced analytics experienced a rise in demand as analytics companies started deploying predictive models in IoT, Finance,and other real-world use cases. Adaptive Predictive Technologies got acquired by MasterCard for $600M.
• Data Science Platform is gaining popularity as increasing demand for data models needed for Predictive Analytics.
• Self Service Data Discovery platforms helps business users to get insights from raw data by providing advanced visualizationtechniques such as easy querying language, natural language search or visual analytics, thus reducing the dependency on ITand analysts.
• Self-service Data Discovery platforms using Hadoop and Apache Spark is expected to grow.
-Source 1 -Source 2
Big Data Analytics, June 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Big Data Analytics – Insights, Market Trends
Sub Sector Analysis
Company List
Team
24
24
Big Data Analytics, June 201625
June 2016Tracxn BlueBox : Big Data Analytics
280+ companies in the sector, $5 B invested in last 5 years, $2.26 B invested in 2015/16
Big Data Analytics, June 201626
Top Business Models by Funding
$2.7B
$860M$767M
$540M$354M
$200M $187M $173M $103M$13M
0
500
1000
1500
2000
2500
3000
Contextual DataAnalytics
Data Analytics Data Preparation Verticals Data Discovery Streaming DataAnalytics
DataVisualization
Search BasedAnalytics
Data SciencePlatform
Big Data AnalyticSuites
Tota
l Fu
nd
ing
Am
ou
nt
(in
Mill
ion
s)
# Cos. 17 77 35 80 17 22 6 5 16 7
Avg. Age 2009.8 2008.3 2005.7 2008.4 2009.7 2008.7 2008.8 2006.2 2010.2 2003.6
Palantir Alteryx Attivio OSIsoft Platfora Qubole Birst Inc. ThoughtSpot Revolution Analytics QlikTech
Guavus Predictive Technologies Talend Uptake Datameer StreamBase CartoDB Endeca Continuum Ingensi
Big Data Analytics, June 201627
Contextual Data Analytics – Business Model Description
Big Data Analytics, June 201628
Contextual Data Analytics – Entrepreneur Activity and Investment Trend
Big Data Analytics, June 201629
Contextual Data Analytics – Most Funded Companies
Big Data Analytics, June 201630
Data Analytics – Business Model Description
Big Data Analytics, June 201631
Data Analytics – Entrepreneur Activity and Investment Trend
Big Data Analytics, June 201632
Data Analytics – Most Funded Companies
Big Data Analytics, June 201633
Data Preparation – Business Model Description
Big Data Analytics, June 201634
Data Preparation – Entrepreneur Activity and Investment Trend
Big Data Analytics, June 201635
Data Preparation – Most Funded Companies
Big Data Analytics, June 201636
Verticals – Business Model Description
Big Data Analytics, June 201637
Verticals – Entrepreneur Activity and Investment Trend
Big Data Analytics, June 201638
Verticals – Most Funded Companies
Big Data Analytics, June 201639
Data Discovery – Business Model Description
Big Data Analytics, June 201640
Data Discovery – Entrepreneur Activity and Investment Trend
Big Data Analytics, June 201641
Data Discovery – Most Funded Companies
Big Data Analytics, June 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Big Data Analytics – Insights, Market Trends
Sub Sector Analysis
Company List
Team
42
42
Big Data Analytics, June 201643
Big Data Analytics – Company List
DETAILS CLOSE TO 288 COMPANIES (169 FUNDED AND 119 UNFUNDED COMPANIES)
COVERS THE FOLLOWING SECTORS
Contextual Data
Analytics
Data Analytics
Data discovery
Data Preparation
Data Science
Platform
Data Visualization
Search Based
Analytics
Streaming Data
AnalyticsVerticals Services
Big Data Analytics
Suite
Big Data Analytics, June 201644
Contextual Data Analytics (1/5)
Company Details Funding Investors
Palantir [Palo Alto, 2004]: Palantir's platforms provide data analysis capabilities to enterprises through its productsGotham and Metropolis. Gotham integrates structured and unstructured data and enables discovery, analysis, andknowledge management. Metropolis conducts quantitative data analysis, data integration, and informationmanagement. Palantir's products are extensively used by federal agencies of the U.S. intelligence, state governments,local governments, and financial institutions around the world. Some of the solutions include case management, anti-fraud, disaster preparedness, law enforcement, defense, and insurance analytics. Acquisitions: Kimono labs inFebruary 2016; FT Technologies in February 2015; Propeller in July 2014; Poptip in July 2014; Voicegem in February2013
$2.32B
Ulu Ventures, Founders Fund, Morgan Stanley, Glynn Capital Management, PENSCO, ARTIS Ventures, YVentures, sfsentry.com, Reed elsevier ventures,
In-Q-Tel
Guavus [San Mateo, 2006]: Guavus provides Big Data analytics solutions, which enable intelligent decision-making fornetwork operations, marketing, customer care and monetization. The company’s data analysis offering is specificallyused by telecommunications providers to give these companies insights on network performance, device andapplication usage, content and subscriber behavior to optimize network capacity and increase revenues. The companycounts 4 of the top 5 mobile network operators, 3 of the top 5 Internet Backbone providers, as well as 80% of cableMSOs in North America as customers. It currently Claims to analyze more than 50% of all US mobile data traffic andprocesses more than 2.5 petabytes of data per day. Deployments span retail, enterprise and wholesale channelsacross data, wireless, wire-line and multimedia product offerings.
$137M
Artiman, Goldman Sachs, QuestM, Singtel Innov8, Translink Capital, Investor, Intel Capital, Investor
Growth Capital, Sofinnova Ventures, Artiman
Ayasdi [Palo Alto, 2008]: Ayasdi automates and accelerates insight discovery. The company’s Machine Intelligencesoftware employs Topological Data Analysis (TDA), to simplify the extraction of knowledge from the most complexdata sets confronting organizations today. Developed by Stanford computational mathematicians, Ayasdi’s approachcombines machine-learning algorithms, abundant compute power and topological summaries to revolutionize theprocess for converting data into business impact.
$108.13M
ventures.citi.com, Institutional Venture Partners, Kleiner Perkins,
Khosla Ventures, Centerview Capital, Draper Nexus, Floodgate, GE Ventures
Context Relevant [Seattle, 2012]: Context Relevant is a leader in Big Data analytics. Context Relevant has developedan analytics system that ingests data, determines what’s important, and creates a problem-specific solution that canbe deployed while continually learning.The proprietary high-performance machine learning technology acceleratesanalytics and actionable insight. It is backed by some of the major companies in the Financial Services Domain.
$44.3M
Vulcan Capital, work bench, new york life insurance company, Bloomberg
Beta, Goldman Sachs, Bank of America, Formation, MADRONA,
rolling bay ventures
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201645
Contextual Data Analytics (2/5)
Company Details Funding Investors
Interana [Menlo Park, 2012]: Interana is a fast and scalable event-based analytics solution that answers criticalbusiness questions on how customers behave and products are used. With Interana, key business metrics that mattermost in a data-driven world - such as growth, retention, conversion and engagement. Interana allows customers todiscover and investigate these key insights easily through its visual and interactive interface. Streaming data and dataat rest are analyzed together, enabling companies to see how real-time snapshots fit into historical trends. It analyzemassive volumes of call detail records for understanding how users behave and interact with products and services.Sony, Tinder, Jive, Bloomboard and Orange are among its customers.
$28.2MY Combinator, SV Angel, Fuel Capital,
Data Collective, Battery, Index Ventures, AME Cloud Ventures
Infobright [Toronto, 2005]: Infobright develops analytic database designed for applications and data marts thatanalyze large volumes of machine generated data such as web data, network logs, telecom records, stock tick dataand sensor data. Solution is capable of storing and analyzing sensor data at IoT scale. Common use cases are forenterprises, SaaS and software companies in online businesses, telecommunications, financial services and otherindustries to provide rapid analysis of critical business data.
$21M Sun Microsystems, Flybridge, RBC
Spire [Bangalore, 2008]: Spire offers big data based enterprise technology that offers various solutions for supplychain management, customer relationship management, fraud intelligence, talent growth management and predictivetalent intelligence. Its technology solutions enable enterprises to make informed decisions with accurate demand-supply mapping from any combination of structured and unstructured data. Also provides fraud detection solutions bypulling in data from unstructured data such as documents, emails, SMS and reviews. The company has previouslyraised $1 million in a seed round from several angel investors.
$8M
Market6 [Ohio City, 2006]: Market6 is a big data analytics company that leverages retailers operational data toimprove overall business performance and enable better collaboration with suppliers. Our flagship is DemandView®,a suite of tools, reporting, and predictive analytics provided via Information Services or SaaS solutions that provides areal-time, forward-looking view of sales, promotion and distribution performance. DemandView is used by the largestsupermarket chain in the US, and is accessed by over 400 supplier partners
$5.5M Sevin Rosen Funds
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201646
Contextual Data Analytics (3/5)
Company Details Funding Investors
dMetrics [Brooklyn, 2009]: dMetrics is building the definitive map of consumer decision-making. It operated on aNLP based engine and has the team of MIT PhDs which have built a platform to analyze thousands of social networks,blogs, and forums, identifying and connecting people, their decisions about products, and rationale for thesedecisions. The result is a dynamic interest graph, helping companies and individuals make better decisions aboutproducts to use, campaigns to run, and companies to invest in. Its clients (from Fortune 500 to non-profits) usedMetrics to get the most accurate, unbiased, and transparent view of people’s actions, tracing decision making all theway from high-level market insights to high-value discussions. Understanding what people do - and why - is the nextfrontier of text analytics. Clicks, Likes and Retweets do not representatively convey the voice of the consumer,comprising a tiny portion of the information contributed by Internet users. Most of the Internet (other than photos ofkittens) is conversational: blog posts, forum discussions, Twitter dialogues. It claims to have a platform that extractsconsumer decisions from billions of online conversations. So far, its platform has served clients in healthcare whichhas resulted in the database of healthcare-centric insights about 14,000+ products. Similar repositories of consumerinsights for CPG, telecom, and banking industries are underway.
$2.3M National Science Fdn
deepsense.io [Menlo Park, 2014]: DeepSense product SeaHorse enables users to build Spark applications using anintuitive visual environment without the need to write any code. By dragging and dropping blocks from the palette ofavailable operations users are able to design any data workflow that contains such steps as: ETL, data manipulation,clean-up and reports, even up to advanced predictive modeling. It has a open-source community edition while theenterprise edition offers some more features.
$2M CodiLime
Aureus Analytics [Mumbai, 2013]: Provider of predictive analytics and big data ready platforms for insurancecompanies and banks. Their platform, ASAP, allows users to create, publish and execute analytical models. Focused onEurope &; the South East Asian Market. Customers include Bharti AXA Life Insurance, Aegon Religare Life Insuranceand General Insurance Council of India among others. Headquartered in Singapore with R&;D in Mumbai. Securedangel funding of $850k from a group of individual investors through LetsVenture.
$850k
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201647
Contextual Data Analytics (4/5)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201648
Contextual Data Analytics (5/5)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201649
Data Analytics (1/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201650
Data Analytics (2/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201651
Data Analytics (3/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201652
Data Analytics (4/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201653
Data Analytics (5/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201654
Data Analytics (6/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201655
Data Analytics (7/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201656
Data Analytics (8/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201657
Data Analytics (9/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201658
Data Analytics (10/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201659
Data Analytics (11/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201660
Data Analytics (12/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201661
Data Analytics (13/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201662
Data Analytics (14/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201663
Data Analytics (15/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201664
Data Analytics (16/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201665
Data Analytics (17/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201666
Data Analytics (18/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201667
Data Analytics (19/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201668
Data Discovery (1/4)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201669
Data Discovery (2/4)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201670
Data Discovery (3/4)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201671
Data Discovery (4/4)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201672
Data Preparation (1/9)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201673
Data Preparation (2/9)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201674
Data Preparation (3/9)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201675
Data Preparation (4/9)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201676
Data Preparation (5/9)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201677
Data Preparation (6/9)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201678
Data Preparation (7/9)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201679
Data Preparation (8/9)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201680
Data Preparation (9/9)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201681
Data Science Platform (1/5)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201682
Data Science Platform (2/5)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201683
Data Science Platform (3/5)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201684
Data Science Platform (4/5)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201685
Data Science Platform (5/5)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201686
Data Visualization (1/2)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201687
Data Visualization (2/2)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201688
Search Based Analytics
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201689
Streaming Data Analytics (1/6)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201690
Streaming Data Analytics (2/6)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201691
Streaming Data Analytics (3/6)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201692
Streaming Data Analytics (4/6)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201693
Streaming Data Analytics (5/6)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201694
Streaming Data Analytics (6/6)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201695
Verticals->Finance (1/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201696
Verticals->Finance (2/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201697
Verticals->Finance (3/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201698
Verticals->Finance (4/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 201699
Verticals->Finance (5/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016100
Verticals->Finance (6/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016101
Verticals->Finance (7/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016102
Verticals->Finance (8/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016103
Verticals->Finance (9/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016104
Verticals->Finance (10/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016105
Verticals->Finance (11/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016106
Verticals->Finance (12/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016107
Verticals->Finance (13/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016108
Verticals->Finance (14/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016109
Verticals->Finance (15/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016110
Verticals->Finance (16/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016111
Verticals->Finance (17/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016112
Verticals->Finance (18/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016113
Verticals->Finance (19/19)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016114
Services
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016115
Big Data Analytic Suites (1/2)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016116
Big Data Analytic Suites (2/2)
Contextual Data Analytics
Data Analytics
Data discovery
Data PreparationData Science
PlatformData
VisualizationSearch Based
AnalyticsStreaming Data
AnalyticsVerticals Services
Big Data Analytics Suite
Big Data Analytics, June 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Big Data Analytics – Insights, Market Trends
Sub Sector Analysis
Company List
Team
117
117
Big Data Analytics, June 2016118
Team
Manish Jaiswal
Senior Analyst, Big Data Analytics
Harini Kancharana
Lead Analyst, Enterprise Infrastructure