ParStream - NIK Nürnberg

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PARSTREAM
OVERVIEW
CHRISTIAN WERLING DIRECTOR SALES D/A/CH
[email protected]
Confidential
Big Data is a Hype!
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„Die Erfindung hat so viele Mängel, dass es nicht
ernsthaft als Kommunikationsmittel taugt. Das Ding hat
für uns an sich keinen Wert.“
Memo der Western Union Financial Services zur Erfindung
des Telefons, 1876
„Die weltweite Nachfrage nach Kraftfahrzeugen wird eine
Million nicht überschreiten - allein schon aus Mangel an
verfügbaren Chauffeuren.“
Gottlieb Daimler, Erfinder, 1901
„Das Pferd wird es immer geben, Automobile hingegen
sind lediglich eine vorübergehende Modeerscheinung.“
Der Präsident der Michigan Savings Bank, 1903
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„Ich denke, dass es einen Weltmarkt für vielleicht fünf
Computer gibt.“
Thomas Watson, CEO von IBM, 1943
„Der Fernseher wird sich auf dem Markt nicht
durchsetzen. Die Menschen werden sehr bald müde
sein, jeden Abend auf eine Sperrholzkiste zu starren.“
Darryl F. Zanuck, Chef der Filmgesellschaft 20th CenturyFox, 1946
„BIG DATA ist ein reiner Hype. Niemand braucht das.“
Max Mustermann, „Daten- Experte"
Nürnberg, 27. Februar 2013
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What BigData NOT is!
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Big Data is NOT Storage of large datasets!
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Big Data is NOT BI + 20% !
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What is ParStream?
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ParStream is THE Big Data Analytics Platform
ParStream enables Enterprises to exploit Big Data
opportunities and beat the competition by speed of
implementation and operation
REAL-TIME – LOW-LATENCY – HIGH THROUGHPUT
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PARSTREAM BIG DATA ANALYTICS PLATFORM
2008
13.000.000.000 * x100 * 500 = Challenge
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PARSTREAM BIG DATA ANALYTICS PLATFORM
ParStream Empowers People in All Industries to Capture
New Business Opportunities Evolving with Big Data
•
Analyze and Filter Billions of Records
•
Query Data Structures with 1000’s of columns
•
Get Answers in Milliseconds without Cubes
•
Continuous Import Data with Low Latency
•
Execute 1000’s of Concurrent Queries
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ROADBLOCKS
Established Databases Vendors can’t Deliver Technical Solutions
MapReduce Can’t Deliver Results in Real-Time
•
Established Database Architectures
were not Designed for Big Data
•
NoSQL approaches cannot deliver
in real-time
Real-Time
Complex Event
Processing
In-Memory DB
•
•
Extreme Performance can
only be Achieved through
Parallelization
Supporting both Volume and
Speed has been Unachievable
Operational
Data
Volumes
< 1..10 milli
sec
10..100 milli
Interactive
sec
Analytics
1 sec
Gigabyte
Terabyte
OLTP
Reporting
Petabyte
Big Data
Volume
1..10 sec
Batch Analytics
1..10 min (MapReduce)
>10 min
Lag Time
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HUGE MARKET OPPORTUNITY
Big Data Analytics is a game changer in every industry
and is a huge market opportunity
Many Applications
All Industries
eCommerce
Services
Social
Networks
Telco
 Facetted
Search
 Web
analytics
 SEOanalytics
 OnlineAdvertising
 Ad serving
 Profiling
 Targeting
 Customer
attrition
prevention
 Network
monitoring
 Targeting
 Prepaid
account
mgmt
Finance
 Trend
analysis
 Fraud
detection
 Automatic
trading
 Risk
analysis
Energy
Oil and Gas
 Smart
metering
 Smart grids
 Wind parks
 Mining
 Solar Panels
Many
More







Production
Mining
M2M
Sensors
Genetics
Intelligence
Weather
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ENABLING KEY BUSINESS SCENARIOS
Initial Focus on Scenarios Requiring a Unique Combination of
REAL-TIME • LOW LATENCY • HIGH THROUGHPUT
Search and
Selection
Real-Time
Analytics
OnlineProcessing
ParStream enables
new levels of search
and online shopping
satisfaction
ParStream drives
interactive analytics
processes to
gain insights faster
ParStream responds
automatically to
large data streams
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KEY SCENARIO: SEARCH AND SELECTION
ParStream Enables New Levels of Search & Online Shopping
Satisfaction
Coface Services Changed from Oracle to ParStream
Customer Success Story
•
•
•
Travel Search Platform
Information marketplace
Coface Services stopped development
with Oracle after 6 years with partial solution
ParStream built the intended solution
within 4 month running on a single small server
Coface Services: “very impressive results,
we did not believe that ParStream will be able to
deliver such a great solution”
Value Proposition
•
•
Build great product search sites
with stickiness and better conversion
Fast ROI through increased sales revenue
Target Market
•
•
•
Large Online Shops
Information marketplaces
Social communities
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CUSTOMER SUCCESS STORY: ETRACKER
ParStream provides real-time campaign control and web
analytics 1,000 to 12,000 times faster than MySQL-cluster
Excellent Customers success stories
Campaign Control & Web Analytics
 Continuous data import of new web-





clicks every few seconds
10 billion web-clicks of 100 days
Continuous data import with maximum
latency of 30 seconds
Complex analytics for lifesegmentation of customer groups
< 2 sec query response time for
> 100 concurrent interactive user
20 server cluster, shared nothing
Website
clicks
50,000
domains
<2 sec response time
Application Server
100 million rows
continuous
import per day
ParStream
Large aggregation
multi-stage SQL-queries
of many concurrent user
100.000.000.000 rows
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KEY SCENARIO: REAL-TIME ANALYTICS
ParStream Drives Interactive Analytics Processes to Gain Insights Faster
Customers Replace Existing Solutions to Profit from ParStream’s Speed
Customer Success Story
•
•
•
Etracker discarded MySQL-cluster because
ParStream is up to 12.000 times faster
Searchmetrics chose ParStream because of
efficiency that enabled international roll-out
Rio-Tinto changed to ParStream because of
speed to sustain competitive advantage
Web-Analytics
SEO-Analytics
Value Proposition
•
•
Driving an interactive analytics process delivers
insights quicker and more accurately
High ROI through process innovation and greatly
reduced infrastructure cost
Geo-Spatial Analytics
Target Market
•
•
•
Ad-spending and Web-Analytics
Profiling and targeting
Advanced analytics
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ARCHITECTURE BUILDING BLOCKS
ParStream is a Big Data Analytics Platform Based on
a Unique High Performance Compressed Index
•
Hybrid Columnar/Row Storage
•
In Memory Technology
C++
UDF - API
SQL API / JDBC / ODBC
Real-Time Analytics Engine
•
•
•
Shared Nothing Architecture
Standard Interfaces
Unique High Performance
Compressed Index
In-Memory and
Disc Technology
Multi-Dimensional
Partitioning
High Performance
Compressed Index
(HPCI)v
Massively Parallel
Processing (MPP)
Shared Nothing
Architecture
Fast Hybrid Storage (Columnar/ Row)
High Speed
Loader with Low Latency
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HIGH PERFORMANCE COMPRESSED INDEX
The Key to ParStream’s Unmatched Performance
STANDARD DB INDEX ARCHITECTURE
− High Memory Requirements
− High Load on CPUs
− Time for Decompression
Not Suitable for Big Data Analytics
PARSTREAM INDEX ARCHITECTURE
+ Low Memory Requirements
+ No Need for Decompression
+ Patent filing in process
Engineered for Big Data Analytics
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ORDERS OF MAGNITUDE FASTER
ParStream Outperforms PostgreSQL by a Factor of 1000
Delivering Results in Sub-Seconds on Large Data Volumes
PostgreSQL (Scale 100 sec)
Seconds
Slow
ParStream (Scale 1 sec)
seconds
Query 1
1,
0
PostGreSQ
L
0,
9
Query 3
exponential
ParStream
Query 2
Fast
Linear
0,
8
1000
times
faster
0,
7
Query 1
0,
6
0,
5
Query 2
0,
4
0,
3
0,
2
Query 3
0,
1
0,
0 0
2
0
4
0
6
0
8
0
10
0
12
0
14
0
Number of Rows [Millions]
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0
18
0
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ONE LICENSE – FOUR WAYS TO DELIVER
Customer Choice
Software
Cloud
Partner
Appliance
OEM, ISV, SI
v
from software that can be configured and run on customer
specific infrastructure to cloud and appliance
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ParStream @ Mittelstand?
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PARSTREAM @ MITTELSTAND
•
Vorhandene Standard Hardware oder Betrieb in der Cloud
•
Prototyp in max. 3-5 Tagen
•
Geringer Schulungsaufwand
•
„Hello World“ in 2 Minuten
•
Preisliche Skalierung ausschließlich anhand vom Datenvolumen
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Data is the New Oil
ParStream Provides
the Platform
Christian Werling, Director Sales
ParStream GmbH
Große Sandkaul 2
50667 Köln
[email protected]