3 ways mongodb is driving the fintech revolution webinar
TRANSCRIPT
3 Examples of how MongoDB helps Power the FinTech Revolution
Henrik Ingo – Senior Solutions ArchitectJim Duffy – Director of Enterprise Architecture
Today’s Agenda
First, some context
Digital Platforms by Type in Billions
2013 2014 2015E 2016E 2017E 2018E 2019E0
5,000,000,000
10,000,000,000
15,000,000,000
20,000,000,000
25,000,000,000
30,000,000,000
35,000,000,000
FinTech Must Leverage Digital Platforms
Internet Of Things
Connected Cars
Wearables
Connected/Smart TVs
Tablets
Smartphones
Personal Computers
We Are Here
3 Examples
Single Platform for Financial DataQuantitative 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
Single Platform for Financial DataQuantitative 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
Single Platform for Financial DataQuantitative 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
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.
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
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
Capturing the “Digital Native” Customer
Problem Why MongoDB ResultsProblem 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 PlatformAXA Banque uses MongoDB to power “SooN” their innovative mobile banking platform
http://www.journaldunet.com/solutions/mobilite/axa-banque-soon.shtml
Problem Why MongoDB ResultsProblem 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 PlatformAXA Banque uses MongoDB to power “SooN” their innovative mobile banking platform
http://www.journaldunet.com/solutions/mobilite/axa-banque-soon.shtml
Problem Why MongoDB ResultsProblem 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 PlatformAXA Banque uses MongoDB to power “SooN” their innovative mobile banking platform
http://www.journaldunet.com/solutions/mobilite/axa-banque-soon.shtml
Ways MongoDB Can Help
The Company
450+ employees 2500+ customers
Offices in NY, London & Palo Alto and across EMEA, and APAC
World Class Advisory
Database Mindshare Ranking
http://db-engines.com/en/ranking
How MongoDB Can Help
Expert Technical Consultants
Tailored to your projects needs
Transfer of competencies to enable your teams
success
Packages designed to make rapid progressDesign
Learn Quickly from the Source
Curriculum tailored based on project
requirements
Developer & Operations Training
On-site, Virtual or Web based training
is availableTraining
Other On-Demand Courses Included in Development Support
MongoDB University
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
Enterprise Advanced subscription provides access to follow the sun
support Support
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
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
Analytics & BI Partners
MongoDB Use CasesSingle View Internet of Things Mobile Real-Time Analytics
Catalog Personalization Content Management