disrupting business analytics

SCALABLE & INTERACTIVE ANALYTICS FOR ENTERPRISE DATA

10x LESS THAN THE COST OF TERADATA OR ORACLE

MammothDB

inexpensive analytics

MammothDB replaces Oracle and Teradata for analytics solutions

starting now, there’s no reason to use

expensive databases for

enterprise analytics

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team: analytics experts

alex aldev

angel mitev

co-founder: COO & BI

steve keil

co-founder: CEO & sales

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• architect of DHL’s global Business Intelligence solution, which is still in use;

• DWH and analytics guru (including ETL, DB, Cubes, Reporting) for global 2000 firms over 10 years;

• previous companies include DHL, SBB (Swiss Rail), Cabletel

• 4x entrepreneur, last exit – the sale of Sciant to VMware (VMW) in 2008; 12+ years sales & marketing industry experience;

• speaker and promoter: featured on TED.com: http://bit.ly/V40aAW

• 3x entrepreneur (co-founder of Sciant & Scaletools), including exit to VMW;

• BI subject matter expert, over 12 years experience in the

field; • program management for BI projects at SBB, Siemens, and

DHL

co-founder: CTO & BI

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the problems we solve

WHAT’S THE POINT OF STORING BIG DATA…

IF WE CAN’T AFFORD TO EASILY USE IT ?!?

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DWH & analytics solutions are ridiculously expensive,

especially when you have big or enterprise data

modern NoSQL solutions are both slow & difficult for the business person to use. Oh, did we mention…

they’re also expensive?

this means most companies simply

can’t afford to gain insight from their data!

the mammothdb solution

GET:

1. LIGHTNING FAST QUERIES – 1-2 seconds fast 2. SQL NATIVE – use the reporting tool you want 3. FLEXIBILITY – on-premises or cloud solutions 4. INEXPENSIVE ANALYTICS – DWH for 10x less

a. LINEAR COST SCALABLE – big data, less price

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make it fast & easy to use, with MammothDB; including our

interactive engine & query re-writer (SQL native & accepts

standard schemas)

start with hadoop, the leading platform for big data, and an

amazing parallel processing engine - use only parts of it

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value: business users ♥ us

MAMMOTHDB DELIVERS INTERACTIVE QUERY TIMES (1-2 seconds)

mammothdb enables users to start analyzing quickly by: • using standard data schemas, and

• industry standard reporting tools they already have and use!

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/02 business users definitely don’t want to learn SQL-like

programming languages. We are SQL-native!

business users don’t wait hours, or even minutes, to

get reports: they want them fast!

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MammothDB

value: lowering total cost

VALUE PREVENTION VALUE CREATION

VS.

NEW WAY

+

=

+

=

OLD WAY

inexpensive

Hadoop nodes

expensive

servers &

backup hardware

expensive

database

expensive – $500K & more, just for

software and hardware inexpensive – analytics for 10x less,

providing insights, not expenses

inexpensive

database

beta version completed Q2 2013, and

now production version released!

milestones & traction

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Global Logistics Company our first paying customer

Top-3 transportation company globally; providing positive

feedback & extending our license agreement through 2014

signed Global Media Company – Our next paid customer!

Top-3 global media company; new agreement to analyze social

media data across multiple channels.

channel partners – signing our first three channel partners

EU innovation award winner

MammothDB chosen among the top innovative

startup technology companies in Europe, and

awarded a €175,000 innovation grant

(IDC) the business analytics software market grew by 14% in 2011,

and will reach $50.7 billion in 2016, all driven by the focus on

complicated and big data. data is getting bigger, and harder!

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MARKET SIZE

ADOPTION RATE

market size & focus

DISRUPTIVE VISION

the enterprise analytics adoption rate is as low as 10% of the

market, meaning high costs are a massive barrier to entry!

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we believe that to disrupt an existing market, a 10x or greater cost

savings is needed. our vision is to tackle the 90% existing market, and

enable the entire world to gain wisdom from their data.

We focus on the under-served medium to large sized companies

(100M+ revenue) that can’t afford today’s enterprise analytics solutions.

• HADAPT (~17M) • IMPALA/CLOUDERA (~141M) • PLATFORA (~27M) • JEHTRODB (~4.5M) • SPLICE MACHINE (~19M)

competitor snapshot

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ORACLE-EXADATA MICROSOFT-PDW TERADATA-ASTERDATA EMC-GREENPLUM IBM- NETEZZA HP-VERTICA

ESTABLISHED PLAYERS SOME NEW STARTUPS

we view the old traditional plays as

our real competition…

there’s a lot of new “big data”

companies, but most of them

aren’t designed for analytics – they

focus on “big data,” & aren’t

interactive, or effective, for the real

business world. they are also terribly

capital inefficient.

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5 reasons why we’ll win

our technology approach is the future of analytics: (next slide please) /05

we’re focusing on real business problems,

• where customers and prospects experience a lot of pain, not on the hype

of “big data.” business users are the target, who have specific problems

over mid sized and tough data. that’s the real pain, and the real market.

capital efficient operations and development, • we do a lot with a little, reaching beta while being self-funded, and our

production ready system is on par with our competitors!

we’re disrupting the existing business analytics market, • rather than creating a new, limited market of “big data” companies. few

companies really have very big data: most have “tough” data to analyze, of less than 1 TB. we focus on real problems, not the “big data” tiny market.

SaaS and On Premises at a low cost price-point: • we’re the only viable low cost enterprise analytics alternative on the

market – all our competitors are striking price points similar to enterprise

versions of Oracle, Teradata, or Vertica implementations. why would a

company pay the same money for an untested new kid on the block?

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/A

/B

MammothDB: pre-structured data stored and processed by optimized data

engines, on each Hadoop node!

VS.

= wasteful use of CPU/network,

and inefficient for analytics

= amazing efficiency and speed

MDB: future of data analytics

SQL-over hadoop competitors: unstructured data stored on the file

system, processed at query time:

warning: the next slide

is geeky and full of text,

but does explain the

evolution (and devolution) of

analytics, and how we feel

MammothDB is different

evolution of data analytics

MAINFRAME SQL DATA

WAREHOUSING HADOOP

SQL-OVER HADOOP

MAMMOTHDB

• one big server

• transactions &

analytics on

the same box

• only

programmers

can run

reports

• batch

processing,

very slow

• one big

server

• transactions

&

analytics on

the same box

• batch

processing,

very slow

• finally, an

easier

interface for

writing

queries (SQL)!

• two servers!

• transactions &

analytics on

different boxes!

• interactive

processing!

• an easier

interface for

writing queries

(SQL)!

• horribly expensive

• many small

servers

(clustering)

• transactions &

analytics on

the same box

• only

programmers

can run

reports

• batch

processing,

very slow

• many small

servers

(clustering)

• transactions &

analytics on

the same box

• clumsy

processing,

fairly slow

• finally, an

easier

interface for

writing queries

(SQL)!

• many small

servers

(clustering)

• transactions &

analytics on

different boxes!

• interactive

processing!

• an easier

interface for

writing queries

(SQL)!

• awesomely inexpensive

ON PREMESIS SaaS: ENTERPRISE SaaS: SMB

monthly subscription

• smaller data sets

• prototyping

• quick solutions

• freemium model

• annual contracts

• ad-hoc & hourly

monthly subscription

• larger data sets

• custom solutions

• enterprise integrations

• paid, w/support

license fees & free

• traditional enterprise

• big data requirements

• on-site security policies

• complex integration needs

revenue models

PAID SUPPORT

• consulting

• customization

• “health” checks

• implementations

PROFESSIONAL SERVICES

• one & two day

trainings, plus

• half day workshops

TRAINING

+ +

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go-to-market approach

channels & partnerships – creating partnerships with consulting

companies, integrators, hardware firms, and software

companies (e.g. reporting and ETL tools)in order to really scale

freemium – fulfilling our promise of low-cost, helping customers start

free, then grow smoothly into our subscription or on-premises plans

direct sales – Our first customers are made through direct sales

in our network. we’re expanding into new areas(e.g. telecoms

& banking), and our pipeline is growing

Disrupting the sales cycle :

Anyone who tells you that enterprise analytics has a “short” sales cycle is

flat-out lying. It’s never been short, because prices are high, and therefore

risk is high. Until now – we’ve seen a 3x reduction in sales cycle time!

data size + complexity

cost

millions

cheap

small / easy medium (100’s GB) big / complex (TB’s) huge

analytics DB position: today

analytics DB position: tomorrow

data size + complexity

cost

millions

cheap

small / easy medium (100’s GB) big / complex (TB’s) huge

summary: key disruptions

native SQL-compliant database:

• providing seamless integration with existing reporting tools & data

schemas. this is what the market wants: business users like SQL,

and they like one of the already existing 1,000+ reporting tools.

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MammothDB is fast & scalable: • sub-second second query responses over tough data.

inexpensive analytics means more companies gain insight:

• we’re the low cost airline carrier. we get you there, cheaper.

maybe not as glamorous as a premium carrier, but now it means

more people can fly.

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/04 MammothDB is disrupting the real/existing market:

• we focus on the *actual* market – enterprise data! the dirty

secret out there is that most people struggle with 100’s of GB of

enterprise data – and we’ll help them do that!