Real%Time)Analy-cs)and)Visualiza-on)of)

Streaming)Big)Data

Dean%Yao%Director%of%Marke/ng%Jinfonet%So3ware

Mike%Hogan%CMO%ScaleDB

2

The)Problem)–)The)Pain)

“The)high)velocity,)white%water)flow)of)

data)from)innumerable)real%-me)data)

sources)such)as)market)data,)Internet)of)

Things,)mobile,)sensors,)clickstream,)and)

even)transac-ons)remain)largely)

unnavigated)by)most)firms))%)%)it)is)about)

knowing)and)ac-ng)on)what’s)happening)in)

your)business)at)this)very)moment.”))))

)))))))))))))))))))))))))))))))))))))))))))))))))))))))July)2014)

Data)Velocity)

(Driven%by%Perform

ance)%

Data)Volume)

(Driven%by%Cost%–%DRAM%vs.%Disk)%

Real-Time Persistent Analytics!

3

In%Memory) Real%Time)Analy-cs)

ScaleDB

Our)View)of)the)Market)

Data)Velocity)

(Driven%by%Perform

ance)%

Data)Volume)

(Driven%by%Cost%–%DRAM%vs.%Disk)%

Disk)

Versus)In%Memory)

1,200,000)Inserts)per)second)

BigQuery)Cost:)$10,368/day)

ScaleDB)Cost*:)$46/day)

•  BigQuery%$.10/MM%inserts%

•  AWS:%$28%for%8.4TB%storage,%$18%%for%6%%

instances%of%heavy%usage%EBS%op/mized%

Disk)

Hadoop%

Versus)Hadoop)

Hadoop:)ETL+Batch)=)6%48)hours)

ScaleDB:)Real%Time)

4

High%Velocity)Structured)Data)

MyISAM

ScaleDB Storage

ScaleDB Storage

ScaleDB ScaleDB

ScaleDB Storage

ScaleDB

5

Streaming)Analy-cs)Requirements)

•  Fast)–)millions)of)rows/sec)

•  Persist%&%index%big%data%streams%%•  Marke/ng%data,%IoT%data,%mobile%data,%clickstream%data,%etc.%

•  Analyze%new%and%historical%data%near%real\/me%and%in%a%unified%way%

•  Big)–)terabytes/day)•  Seamless,%elas/c,%scale\out%(storage%and%processing%/ers)%•  Data%size%doesn’t%impact%insert%rate,%or%query%performance%with%/me%

predicates%•  High\Availability%

6

Streaming)Analy-cs)Requirements)

•  Complete)–)no)assembly)required)

•  A%unified%repository%for%the%streaming,%historical%and%opera/onal%data%•  Ad\hoc%joins%across%streaming,%historical%and%opera/onal%data%in%real\/me%•  SQL%\%Op/mized%for%structured%and%semi\structured%data)%

•  TCO)–)$10k)cluster)delivers)1.2)million)inserts/sec))

•  Easy%to%develop,%provision%and%manage%•  Cloud,%private%cloud%or%on\prem%(commodity%HW)%•  No%par//oning%or%sharding%of%data%•  Disk\based%(>400x%savings)%•  Leverage%MySQL%ecosystem%

Real-Time Analytics and Visualization of Streaming Big Data

Dean Yao Director of Marketing Jinfonet Software

Mike Hogan CMO ScaleDB

Follow us @Jinfonet

Simplify the Complexity of Reporting

and Visualization

Our Mission

2

3

High Performance and Scalable Intelligent push-down technology In-memory cubes Server Clustering

Self-ServiceSo easy anyone can use Interactive charts, controls, widgets

Flexible Any data source: from RDB to Big Data and Cloud Deliver anywhere: from PC to mobile Customizable and embeddable

Advanced, Embedded Data Visualization Platform:

JReport Highlights

4

Ease of Embedding

Complex Systems

Simplistic Solutions

Embeddable Power

Legacy Tools

Perf

orm

ance

and

Fea

ture

s Traditional BI

Open Source

JReport

Market Positioning

5

OEMCustomers that embed JReport into their products Typically hosted “on-premise”

Software as a Service (SaaS)Browser-based access for internal or external users Typically hosted in the cloudVariety of licensing models for subscribers

JReport works with all deployment types.

OEM and SaaS

ACME%Financials%

Company%News%

BI Platform –  Security, administrative features

–  Customizable look and feel

Metadata Management

–  Organize/publish/search of: dimensions, hierarchies, measures, formula, components, reports into catalogs

Development Tools

–  IDE to build components, reports, dashboards

–  API for application embedding

6

Embedded Solution

7

Interactive Visualization

Visual Analysis

Ad Hoc Reporting JDashboard

New Data Sources

Choose from a Wide Variety of Chart Types & Styles

8

Advanced Visualization

Motion Charts

Scrollable Charts

Real-time Charts

9

Live Charts

10

Information Delivery

Web Mobile

Government ISV/OEM Healthcare / Healthcare Insurance

Telecom Consumer / Manufacturing

Financial Services

Global Customer Base

11

The Demo

12

Christina, CFO Julie, Buyer Sanjay, Data Scientist

1.2M Sale Transactions/Second •  Store name •  Transaction Amount •  Coupon •  Customer Account •  Product

Stores •  Store Name •  Address, City, State, Zip •  Phone Number

13

•  Real-Time Streaming Data Analytics and Visualization •  High-Velocity: Millions of Inserts per Second •  Powerful: Real-time, ad hoc queries over Big Data •  Interactive: Full range of data analysis and OLAP •  Total Cost: Low TCO BI platform and real-time DB

JReport + ScaleDB

14

•  Look for our follow-up email !  Exclusive JReport 13 Trial !  Free Proof of Concept ! Whitepaper: Streamlining the Process of Business Intelligence for

Mid-Sized Organizations

•  On-Demand Product Demo – Watch it anytime

•  For more info, visit: www.jinfonet.com and www.scaledb.com E-mail: dyao@jinfonet.com, mike@scaledb.com Phone: (240) 477-1000 Follow us @Jinfonet

Next Steps