there are 250 database products, are you running the right one?

© 2015 Aerospike. All rights reserved. Confidential 1

Webinar: There are 250+ database products, are

you running the right one?

SPEED at SCALE

Featuring:


Featured Speakers

Noel Yuhanna, Principal Analyst, Forrester

Peter Goldmacher, VP of Strategy, Aerospike

Alvin Richards, VP of Product, Aerospike


Agenda

• Industry overview and trends• Choosing the right database• Evolution of Data• Real world use cases where speed at scale matters• Architecture Overview • Wrap up and Q&A

WEBINAR

Choosing The Right DatabaseNoel Yuhanna, Principal Analyst@nyuhanna

Aerospike Webinar

Business growth and speed are driving new apps and data

requirements that are changing the way we store, process, and

access data.

© 2015, Forrester Research, Inc. .

Data Volume has grown out of control…..

What about your organization? How are you managing your data?

Terabytes

Petabytes Zetabytes

© 2015 Forrester Research, Inc. Reproduction Prohibited 7

Database management challenges have grown

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DB DBSo many physical database instances!

So many heterogeneous database technologies, architectures, models, and schemas!

So many database applications, workloads, deployment roles, and content types!

So many database policies, rules, and SLAs!

How do we architect all this?

How do we implement this?

How do we scale and optimize all this?

What database do we need?

HELP!!!!!!!DBAs


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Analytics

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OLTP

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IOT

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Mobile

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When you use the wrong DBMS.. You waste resources, increase cost and slow down new application deployment…

Data management

• Growing data volume

• Need for real-time information

• Security concerns

• Growing complexity of systems

• Increased HA requirements

• Underutilized servers and storage

• Drive toward enhanced SLAs

Distributed data management

• Integration issues

• Administration

• Data duplication

• Security concerns

• Performance and scalability

• Synchronizing repositories

• Content, unstructured data

Data management pain points intensify . . .


Four key trends that are impacting database strategy

Social network appsReal-time appsLOB appsBig data appsMobile appsCollaboration

TBs into TBsLarger EDWUnstructured dataAdmin challengesPerformance issuesScale — unpredictable workload

Budget concern remains.Doing more with less

Automation is the key.Need for optimized

systemSubscription model

Ensure security.Need for 24x7 availabilityDeliver high performance.Ensure on-demand scale.

Minimize planned downtime.

Next-generation apps

Budget issues

Data volume, variety, velocity

Global apps

Database

© 2015 Forrester Research, Inc. Reproduction Prohibited.


New business requirements are making older database approaches inadequate…

› Business challenges:• Need for real-time data has grown

• Delivering solutions more quickly

• Delivering more scalable solution

• Ensuring cost effectiveness

› Technology challenges:• Increasing data volume

• Ensuring 24x7 global availability

• Increasing number of users


New business applications demand more optimized databases…

Age of the Customer – personalization

IOT – machine analysis, proactive maintenance

Real-time Analytics

360-degree view of the business, product

Global transactional Apps

Gaming – scores, ratings, store

Fraud Detection – risk management, online trading

Mobile Apps – Hotel reservations, inventory tracking

And others…


Age of the customer is driving the need for integrated customer data…

› Age of the customer — a 20-year business cycle in which the most successful enterprises will reinvent themselves to systematically understand and serve increasingly powerful customers


Churn

How can you prevent members from churning?

How can you provide a perfect and individual recommendation?

Individual Recommendation


EnginesMachines Factories

IOT drives new types of use cases but requires a real-time data platform

Cisco predicts 50 billion devices will be connected

by 2020.Forrester estimates 30%

usage of IIOT in manufacturing, will double

by 2019.

IOT

© 2015 Forrester Research, Inc.


Amazon uses data to predict everything in its delivery process.. even Xmas orders!

Image source: Digits (http://blogs.wsj.com/digits/2014/01/17/amazon-wants-to-ship-your-package-before-you-buy-it/)

Prediction


We are gaining a deeper view of theworld by digitizing everything . . .

Image source: Github (http://seeread.github.com/canopy/)

DATA SCIENTISTS PARTICIPATED IN A DATA DIVE TO HELP THE NYC PARKS DEPARTMENT BETTER MANAGE STORM RISK AND OPTIMIZE PRUNING SCHEDULES OF THE CITY’S TREES

Advanced Analytics

Supermarket predicts the exact date customers will return and what they will spend within $10 for 19% of their customers?

Complex Prediction


What does this mean? Your Database strategy needs to include NoSQL besides RDBMSNew App Requirements NoSQL RDBMS

Optimized for unstructured data Yes Partial

Scale to petabytes Yes Partial

Millions of users Yes Partial

Complex data relationships Yes Partial

Flexible schema Yes No

Extreme performance Yes No

Easy to deploy and use Yes Partial

Lower Cost Yes No/Partial

Horizontal scale-out Yes No

forrester.com

Thank you

Noel [email protected]@nyuhanna

mailto:[email protected]


Evolution of Data &

Architecture Overview

Peter Goldmacher, VP of Strategy Alvin Richards, VP of Product

SPEED at SCALE


Evolution of Data

DATA VOLUME

1970

1985

2010

2015

IMS

RDBMS

NoSQL

NoSQL at Scale

TPS


Our Users Have the Following Requirements

Mission critical apps that require near 100% up-time AdTech Risk/Fraud Telco

Mandate for response times measured in milliseconds 10 milliseconds for AdTech 750 milliseconds for Fraud

Very large data sets 50TB+

Sophisticated and robust decision algorithms 2M+ transactions per second

Best in class price/performance Proven 10 to 1 savings versus other NoSQL vendors


AdTech – Real-Time Bidding

Challenge• Low read latency (milliseconds)• 100K to 5M operations/second• Ensure 100% uptime • Provide global data replication

Performance achieved• 1 to 6 billion cookies tracked• 5.0M auctions per second • 100ms ad rendering, 50ms real-time bidding,

1ms database access• 1.5KB median object size

Selected Aerospike NoSQL over competition• 10X fewer nodes• 10X better TCO• 20X better read latency • High throughput at low latency

Ads is Displayed

Publishers

Ad Networks & SSPs

Ad Exchanges

Demand SidePlatform

Data Management Platforms

Brands Agencies Buyers

0 ms 100 ms


Challenge• Overall SLA 750 ms• Loss of business due to latency• Every credit card transaction requires hundreds of DB reads/writes

Need to Scale Reliably • 10 100 TB• 10B 100 B objects• 200k I Million+ TPS

Selected Aerospike In-Memory NoSQL• Built for Flash• Predictable low latency at high throughput • Immediate consistency, no data loss• Cross data center (XDR) support• 20 server cluster • Dell 730xd w/ 4NVMe SSDs

Credit Card Processing System

Fraud Detection & Protection App

RulesRule 1Rule 2Rule 3

Historical Data

Rule 1-PassedRule 2-PassedRule 3-Failed

Account Behavior

Static Data

Account Statistics

Fraud Prevention


Telco – Real-Time Billing and Usage Systems

Challenge• Edge access to regulate traffic• Accessible using provisioning applications

(self-serve and through support personnel)

Need for extremely high availability, reliably, low latency

• > TBs of data• 10-100M objects• 10-200K TPS

Selected Aerospike in-Memory NoSQL• Clustered system• Predictable low latency at high throughput• Highly-available and reliable on failure• Cross data center (XDR) support

SOURCEDEVICE/USER DESTINATIONReal-Time

Auth. QoS Billing

Request ExecuteRequest

Real-Time ChecksConfig Module App

Update DeviceUser Setting

Hot-Standby

XDR


Speed

Balanced Read-Heavy0

50,000100,000150,000200,000250,000300,000350,000

Aerospike CassandraMongoDB Couchbase 2.0*

0 50,000 100,000150,000200,0000

2.55

7.510

Balanced Workload Read Latency

Aerospike

Throughput, ops/sec

Aver

age

Late

ncy,

ms

0 50,000 100,000150,000200,000048

1216

Balanced Workload Update Latency

Aerospike

Throughput, ops/sec

Aver

age

Late

ncy,

m

s

• Flash / SSD Optimized• Primary Index in DRAM


Scale

• RIPE MD160 Hashing & Partitioning• Dynamically Add/Remove Nodes• Auto Rebalance• Auto Heal


10x LOWER TCO10X Fewer


Vertical Focus / Horizontal Opportunity

FINANCIAL

ECOMMERCE

ADTECH

HORIZONTAL

GAMING

TELECOM

Confidential #1Confidential #2


Takeaways

• Focused on real-time, mission critical applications

• Enables companies to leverage speed at scale

• Scales up and out to accelerate real-time applications in Retail, FinServ, Telecom, Adtech and Internet

• Greater than 10x performance improvements at a materially lower cost per transaction


High PerformanceNoSQL Database

Powering NewOpportunities at Scale

@aerospikedb

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http://www.aerospike.com/quick-start/

http://www.aerospike.com/quick-start/

mailto:[email protected]