Goldman Sachs estimates the FinTech opportunity could be worth $4.7 trillion. Payments, wealth management and funding, to name just a few, are all ripe for disruption. This disruption will reshape the financial services landscape to put power firmly in the customers’ hands. Watch our webinar, where you’ll learn about 3 businesses harnessing the power of data in financial services.

1. 3 Examples of how MongoDB helps Power the FinTech Revolution
HenrikIngo–SeniorSolutionsArchitect
JimDuffy–DirectorofEnterpriseArchitecture

2. Today’sAgenda

3. First, some context

6. Digital Platforms by Type in Billions
0
5
10
15
20
25
30
35
2013 2014 2015E 2016E 2017E 2018E 2019E
Billions
FinTech Must Leverage
Digital Platforms
Internet Of Things
Connected Cars
Wearables
Connected/Smart TVs
Tablets
Smartphones
Personal Computers
We Are Here

7. 3 Examples

10. Single Platform for Financial Data
Quantitative investment manager with over $16B in assets
under management invests heavily in new database
Problem Why MongoDB ResultsProblem Solution Results
AHL needed new technologies to be
more agile and gain competitive
advantages in the systematic trading
space
Proprietary systems in financial
services tech, as well as relational
databases, were too expensive and/or
rigid

11. Single Platform for Financial Data
Quantitative investment manager with over $16B in assets
under management invests heavily in new database
Problem Why MongoDB ResultsProblem Solution Results
AHL needed new technologies to be
more agile and gain competitive
advantages in the systematic trading
space
Proprietary systems in financial
services tech, as well as relational
databases, were too expensive and/or
rigid
Built single platform for all financial data
on MongoDB
Flexible data model and scalability were
core to ability to put all data in single
platform
Massive throughput able to handle
many hundreds of millions of messages
per day

12. Single Platform for Financial Data
Quantitative investment manager with over $16B in assets
under management invests heavily in new database
Problem Why MongoDB ResultsProblem Solution Results
AHL needed new technologies to be
more agile and gain competitive
advantages in the systematic trading
space
Proprietary systems in financial
services tech, as well as relational
databases, were too expensive and/or
rigid
Built single platform for all financial data
on MongoDB
Flexible data model and scalability were
core to ability to put all data in single
platform
Massive throughput able to handle
many hundreds of millions of messages
per day
100x faster to retrieve data
Tick Data: Quickly scaled to 250M ticks
per second, a 25x improvement in tick
throughput
Cut disk storage 60%, and realized
40% cost savings by using commodity
SSDs

15. Single Event Store &
Real-Time Event Streaming
“Monster” event processing platform leverages the
performance and flexibility of MongoDB
Problem Why MongoDB ResultsProblem Solution Results
Stripe’s growth has been explosive, all
systems must be able to scale through
unpredictable increases in volume
A single view of events is critical for
Stripe’s business. A Fragmented view is
insufficient.

16. Single Event Store &
Real-Time Event Streaming
“Monster” event processing platform leverages the
performance and flexibility of MongoDB
Problem Why MongoDB ResultsProblem Solution Results
Stripe’s growth has been explosive, all
systems must be able to scale through
unpredictable increases in volume
A single view of events is critical for
Stripe’s business. A Fragmented view is
insufficient.
Leverage the Oplog of MongoDB to
stream data to other data management
platforms
Flexible data model and scalability were
core to ability to put all data in single
platform
Expressive query language, secondary
indexes and strong consistency were
core to ability to migrate core use cases
to new platform

17. Single Event Store &
Real-Time Event Streaming
“Monster” event processing platform leverages the
performance and flexibility of MongoDB
Problem Why MongoDB ResultsProblem Solution Results
Stripe’s growth has been explosive, all
systems must be able to scale through
unpredictable increases in volume
A single view of events is critical for
Stripe’s business. A Fragmented view is
insufficient.
Leverage the Oplog of MongoDB to
stream data to other data management
platforms
Flexible data model and scalability were
core to ability to put all data in single
platform
Expressive query language, secondary
indexes and strong consistency were
core to ability to migrate core use cases
to new platform
Platform has been in place since 2011
and has been able to scale with Stripe’s
business
Stripe’s use of the MongoDB Oplog
allows flexible streaming of data to
downstream analytic systems

20. Capturing the “Digital Native” Customer

21. Problem Why MongoDB Results
Problem Solution Results
AXA Banque needed to differentiate
themselves in the the retail banking
space by offering a 100% mobile
experience
Reaching the “digital native”
demographic required new tools and
approaches
The solution must be able to absorb
large peak loads and true 24/7/365
availability
Mobile Banking Platform
AXA Banque uses MongoDB to power “SooN” their innovative mobile
banking platform
http://www.journaldunet.com/solutions/mobilite/axa-banque-soon.shtml

22. Problem Why MongoDB Results
Problem Solution Results
AXA Banque needed to differentiate
themselves in the the retail banking
space by offering a 100% mobile
experience
Reaching the “digital native”
demographic required new tools and
approaches
The solution must be able to absorb
large peak loads and true 24/7/365
availability
“We were quickly convinced that
MongoDB's open-source NoSQL
model was the best choice”
Pascal Lozovoy CIO AXA Banque
Mobile application is capable of
absorbing large amounts of
unstructured data with ease
Seamless integration with existing
banking platform on AS400 mainframe
is achieved using Java and web
services
Mobile Banking Platform
AXA Banque uses MongoDB to power “SooN” their innovative mobile
banking platform
http://www.journaldunet.com/solutions/mobilite/axa-banque-soon.shtml

23. Problem Why MongoDB Results
Problem Solution Results
AXA Banque needed to differentiate
themselves in the the retail banking
space by offering a 100% mobile
experience
Reaching the “digital native”
demographic required new tools and
approaches
The solution must be able to absorb
large peak loads and true 24/7/365
availability
“We were quickly convinced that
MongoDB's open-source NoSQL
model was the best choice”
Pascal Lozovoy CIO AXA Banque
Mobile application is capable of
absorbing large amounts of
unstructured data with ease
Seamless integration with existing
banking platform on AS400 mainframe
is achieved using Java and web
services
SooN successful launch Jan 2014 now
has thousands of users
New functionality is quickly developed
and released to the public
Zero interruption of service despite not
limiting what users can upload
Mobile Banking Platform
AXA Banque uses MongoDB to power “SooN” their innovative mobile
banking platform
http://www.journaldunet.com/solutions/mobilite/axa-banque-soon.shtml

24. Ways MongoDB Can Help

25. The Company
450+ employees 2500+ customers
Offices in NY, London & Palo Alto and
across EMEA, and APAC
World Class
Advisory

27. Database Mindshare Ranking
http://db-engines.com/en/ranking

28. How MongoDB Can Help

29. Expert Technical Consultants
Tailored to your
projects needs
Transfer of competencies to
enable your teams success
Packages designed to make
rapid progressDesign

30. Learn Quickly from the Source
Curriculum tailored based
on project requirements
Developer &Operations
Training
On-site, Virtual or
Web based training
is available
Training

31. Other On-Demand Courses Included in Development Support
MongoDB University

32. World Class Consultative Support
Named Support service available as
a virtual member of your Operations
team
Proactive approach is
designed to assist in planning
changes
EnterpriseAdvanced subscription
provides access tofollow the sun
support
Support

33. jim.duffy@mongodb.com henrik.ingo@mongodb.com

35. The Largest Ecosystem
10,000,000+
MongoDB Downloads
300,000+
Online Education Registrants
35,000+
MongoDB User Group Members
40,000+
MongoDB Management Service (MMS) Users
900+
Technology and Services Partners
2,500+
Customers Across All Industries

36. Fortune 500 & Global 500
20 of the Top Financial Services Institutions
10 of the Top Electronics Companies
10 of the Top Media and Entertainment Companies
10 of the Top Retailers
10 of the Top Telcos
10 of the Top Technology Companies
10 of the Top Healthcare Companies

37. Analytics & BI Partners

38. MongoDB Use Cases
Single View Internet of Things Mobile Real-Time Analytics
Catalog Personalization Content Management