2017 db trends for powering real-time systems of engagement

1 Proprietary & Confidential | © 2016 Aerospike Inc. All rights reserved. [ ]

2017 DB Trends for Powering Real-Time Systems of Engagement

Guest Speaker Noel Yuhanna Principal Analyst Forrester Research

Brian Bulkowski CTO and Co-Founder Aerospike, Inc.

3 Proprietary & Confidential | © 2016 Aerospike Inc. All rights reserved. [ ] © 2016 FORRESTER. REPRODUCTION PROHIBITED.

Database Trends Powering Real-Time Systems of Engagement

Noel Yuhanna, Principal Analyst, Forrester Research

Aerospike Webinar


Business growth and speed are changing the way we access data…

5 Proprietary & Confidential | © 2016 Aerospike Inc. All rights reserved. [ ] 5 © 2016 FORRESTER. REPRODUCTION PROHIBITED.

We Are Moving From IT to Business Technology (BT)..

Trend MIS

IT

BT

Self-service Real-time

Automation

Limited data

Digital business

Lots of data

Batch


Customer Lifecycle Is More Complex Than Ever

Social media Choices

Innovation

Lower cost

Support

Appeal Blogs

Friends

Interact


TV

Email

Direct mail

Print

Out of home

Branch/store Call centers

Web

Social

Mobile

Customer Has Many Touch Points and Channels That Have Grown Over The Years…


Systems Of Engagement Directly Touches Customers

9 Proprietary & Confidential | © 2016 Aerospike Inc. All rights reserved. [ ] 9 © 2016 FORRESTER. REPRODUCTION PROHIBITED. 17

Age of the Customer is Driving the Need for Real-time Data Platform….


Multi-dimensional View Of The Customer Drives Personalization


Age of the Customer

How can you prevent members from churning?

How can you make

the customer

experience better?

How can you give the perfect customer recommendation?


Customer insights

Online behavior

Social Data-as-a-service

Smart products Historical data

Scalable, low-cost, and elastic data platform

Mobile behavior and context

We Need A Data Platform To Support Enhanced Customer Insights


Real-time Requirements Have Grown

› No one needs yesterday day tomorrow! › Competitive pressure – customer experience counts › Run operational reporting and analytics as then happen › New insights demand real-time data › Real-time data helps win customers › Technology is now mature to deliver real-time data platform

7


Key Database trends Powering Real-time Systems of Engagement and Digital Business Transformation

Leveraging Memory and SSD NoSQL

Cloud

Database

25% adoption

20% adoption

35% adoption


Mobile applications Real-time analytics

Big data analytics High-end transactional app

Packaged apps Custom apps

Scientific apps

Web apps

By 2018, 40% Enterprises Will Run Mission-critical Transactional & Operational Apps With Memory Technology


Real-time Customer analytics

Systems of Engagement Business transformation

CRM Logs, Hadoop Social media Clickstream

Hybrid Memory Database

EDW Big Data DB

Analytics

Apps Apps Insights

Hybrid Memory Delivers Faster Customer Insights, and Real-time Systems of Engagement


•  Prevent customers from switching .. Keep customers

•  Recommendation engine •  Search any data Dazzle customers

•  Upsell or cross-sell new products. Sell more

•  Offer the customer specific discounts. Find opportunities

..bottom line it’ll help innovate, grow your company!

How organizations are Leveraging Hybrid Memory to Support Business Transformation and SOE


Recommendations

• Use hybrid memory to innovate and become a disruptor, there are endless possibilities

•  Intensify customer digital experiences •  Insist on real-time analytics for various use

cases to gain competitive advantage

• Look closely at vendor solutions that can scale, deliver high performance are are lower cost

• Focus on tiered memory –Dram, SSD/flash • Expand more use cases to drive business growth

IT

Business


FORRESTER.COM

Thank you © 2016 FORRESTER. REPRODUCTION PROHIBITED.

Noel Yuhanna www.forrester.com Twitter: @nyuhanna

Thank you


Hybrid Memory Databases for Digital Transformation

Brian Bulkowski, CTO & Co-Founder, Aerospike, Inc.


Hybrid Memory Architectures enable Digital Transformation in fundamentally different ways. They deliver:

•  Simplicity

•  Faster Time to Market

•  Business Agility

•  Competitive Advantage & lower TCO

Digital Transformation – The Next Wave


Traditional Architecture Has Significant Limitations

Challenges • Complex

• Maintainability

• Durability

• Consistency

• Scalability

• Cost ($)

• Data Lag

Caching Layer

Operational Database

Real-time Consumer Facing

Pricing / Inventory/Billing

Real-time Decisioning

Streaming Data

Legacy Database (Mainframe)

RDBMS Database

Transactional Systems

Enterprise Environment

Legacy RDBMS HDFS BASED

Fast speed – Consumer Scale


What’s Needed – Hybrid Memory Database

High velocity of transactions Targeted engagement requires large numbers of transactions per second

Handle huge volumes of data Must hold 100s of TBs per use case.

Non Volatile Memory (NVM) Allows you to store large volumes of data

with extremely high performance & consistency. Caching strategies routinely

fail with heavy write use cases.

Lower latency Responses to queries must consistently

be less than 5 milliseconds.

Reliability High availability – must be up 24 x 7. No single point of failure.

Easy to scale & manage Database must not require high amounts of manual intervention.

Low cost of ownership Need to reduce server “footprint” while supporting many new use cases.

Open & interoperable Need to leverage existing infrastructure & solutions.


Hybrid Memory Architectures = Simplified Technology Stack

Aerospike Connectors

Legacy Database (Mainframe)

RDBMS Database

Transactional Systems

Enterprise Environment XDR

Aerospike Legacy RDBMS HDFS BASED

Powered by High Performance NoSQL

Fast speed – Consumer Scale

Hybrid Memory Database

Benefits: • Simplicity • Maintainability • Durability • Consistency • Scalability • Cost ($) • Data Lag Reduced

Real-time Consumer Facing

Pricing / Inventory/Billing

Real-time Decisioning

Streaming Data


LEGACY DATABASE (Mainframe)

XDR

App Servers

DATA WAREHOUSE/ DATA LAKE

LEGACY RDBMS HDFS BASED

BUSINESS TRANSACTIONS

Web views

( Payments/Fraud ) ( Equity Trades )

( Recommendations ) ( Real Time Billing )

High Performance Hybrid Memory DB

“REAL-TIME BIG DATA” “DECISIONING”

500 Business Trans per sec

5000 Calculations per sec

X = 2.5 M Database Transactions per sec

Hybrid Memory DB’s at Operational Scale


Hybrid Memory Database - Enabling Your Digital Transformation

Powered by High Performance NoSQL

Aerospike – Hybrid Memory DB

NEXT GENERATION ARCHITECTURE•  No cache required – simpler architecture!•  Patented Flash Optimization – Log structured File System•  Record Oriented, Schema Free NoSQL KV Store

PREDICTABLE PERFORMANCE•  DRAM or Hybrid DRAM/Flash for Persistence•  Stable, Low Latency and high throughput under any condition•  Deployable on Bare Metal, virtualized, containerized, or Cloud

DYNAMIC CLUSTERING•  Highest Uptime & Availability of any NoSQL (5 nines plus) •  Automatic DB Cluster formation, healing and dynamic sharding •  Cross Data Center Replication (XDR)

SMART APPS•  Machine Learning•  Broad language support (C/C++, Java,C#, Python, Go, Node.js, PHP)•  Patented functionality, DB aware Clients•  Rich API’s - Accelerated development

TCO•  Optimized for Flash and DRAM•  Demonstrated 10:1 price performance savings•  Full Utilization ->10x reduction in servers deployed•  Huge operational efficiency – “Set it and Forget it”

$


Why Hybrid Memory Architecture Matters


Competitive Enterprise Wins

Customer Situation Problem Aerospike Solution Customer Win

6th Largest Brokerage DB2+Gemfire cache 150 Servers growing to

1000 Single Aerospike cluster

– 12 servers - $M in TCO Savings - 99.9% of all transactions <1ms

Large Payments Firm

2 ORCL RAC clusters + Terracotta cache

System Stability & missing SLA’s

3 Aerospike Clusters – 20 Servers each

- Multi $M TCO Savings - Significant improvement in SLA’s

Fraud/Digital Identity Firm DataStax/Cassandra 168 DataStax Servers

growing to 450+ 30 Aerospike Servers –

2 clusters - $3.25M in TCO Savings over 3 years - Significant improvement in SLA’s

3rd Largest Mobile Telco

ORCL Coherence / DataStax Cassandra

Existing SOE solutions unstable & Costly

5 POC’s against Cassandra & ORCL

Coherence – all wins!


Enterprise Marketing

Automation Vendor

DataStax/Cassandra PostgreSQL + cache

Hundreds of cache & Cassandra Servers

Scalability challenges

Significant reduction of server footprint – global

deployment



Use Cases


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 NoSQL •  10X fewer nodes •  10X better TCO •  20X better read latency •  High throughput at low latency

Ad is Displayed

Publishers

Ad Networks & SSPs

Ad Exchanges

Demand Side Platform

Data Management Platforms

Brands Agencies Buyers

0 ms 100 ms


ATMCREDIT CARD

PROCESSING SYSTEM

FRAUD DETECTION &PROTECTION APP

ACCOUNTBEHAVIOR

ACCOUNTSTATISTICS

STATIC DATA

RULE 1 – PASSED ✔RULE 2 – PASSED ✔RULE 3 – FAILED ✗

HISTORICALDATA

RULESRULE 1RULE 2RULE 3…

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 à 100 TB ■  10B à 100 B objects ■  200k à I Million+ TPS

Selected 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

Fraud Prevention


Challenge ■  DB2 stores positions for 10 Million customers ■  Must update stock prices, show balances on 300 positions, process

250M transactions, 2 M updates/day ■  Running out of memory, data inconsistencies, restarts take 1 hour ■  150 Servers -> Growing to 1000

Need to scale reliably ■  3 à 13 TB ■  100 à 400 Million objects ■  200k à I Million TPS

Selected NoSQL ■  Built for Flash ■  Predictable Low latency at High Throughput ■  Immediate consistency, , no data loss ■  Cross data center (XDR) support ■  10 Server Cluster IBM DB2

(MAINFRAME)

Read/Write

Start of Day Data Loading

End of Day Reconciliation

Query REAL-TIME DATA FEED

ACCOUNT POSITIONS

XDR

Fin Serv – Positions System of Record


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 NoSQL •  Clustered system •  Predictable low latency at high throughput

•  Highly-available and reliable on failure •  Cross data center (XDR) support

SOURCE DEVICE/USER DESTINATION Real-Time

Auth. QoS Billing

Request Execute Request

Real-Time Checks Config Module App

Update Device User Setting

Hot-Standby

XDR

Telco – Real-Time Billing and Charging Systems


Thank You!


2017 DB Trends for Powering Real-Time Systems of Engagement

Guest Speaker Noel Yuhanna Principal Analyst Forrester Research

Brian Bulkowski CTO and Co-Founder Aerospike, Inc.