2017 DB Trends for Powering Real-Time Systems of Engagement

1Proprietary & 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.

3Proprietary & 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…

5Proprietary & 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 mediaChoices
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

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 applicationsReal-time analytics
Big data analyticsHigh-end transactional app
Packaged appsCustom 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, HadoopSocial media Clickstream
Hybrid Memory Database
EDW
Big
DataDB
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
5000Calculations 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
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

A T M
CREDIT CARD
PROCESSING SYSTEM
FRAUD DETECTION &
PROTECTION APP
ACCOUNT
BEHAVIOR
ACCOUNT
STATISTICS
STATIC DATA
RULE 1 – PASSED ✔
RULE 2 – PASSED ✔
RULE 3 – FAILED ✗
HISTORICAL
DATA
RULES
RULE 1
RULE 2
RULE 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 DESTINATIONReal-Time
Auth. QoS Billing
Request Execute
Request
Real-Time ChecksConfig 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.

2017 DB Trends for Powering Real-Time Systems of Engagement

More Related Content

What's hot (20)

Viewers also liked (16)

Similar to 2017 DB Trends for Powering Real-Time Systems of Engagement (20)

More from Aerospike, Inc. (6)

Recently uploaded (20)

2017 DB Trends for Powering Real-Time Systems of Engagement