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How Cloud-Based Market Data Enables Innovation
Stephane Dubois, CEO and Founder - @sdubois
Xignite, Inc.
The Problem: Legacy Hinders Innovation
Legacy Technologies
Database Silos
Rigid Infrastructures
Point-to-Point Interfaces
Proprietary Technologies
No Innovation
High Infrastructure Costs
Lack of Transparency
Compliance Risks
Vendor Lock-in
Investment
Analytics
Trading &
Capital Markets
Compliance &
Risk
Wealth
Management
Reporting &
Accounting
Mid-Office Back-Office
TERMINALS
Front-Office
FEEDS
Mid-Office
FILES
Back Office
2
Front-Office
Digital Innovation Drives Success
Source: Lessons from the App Masters. Apigee Institute. 2015
How Infrastructure Eats Innovation
Much Time and Effort is Spent
Building Up Infrastructure & Integration
Design
Source Data
Provision
Rack Space
Acquire
Hardware
Configure
Hardware
Deploy
Hardware
Source
Connectivity
Provision
Connectivity
Test
Connectivity
Install
Database
Test
Feed/Files
Process
Feeds/Files
Load
Database
Sync
database
Test Data
Integrity
Implement
Redundancy
Provision for
Scalability
Implement
Monitoring
Integrate Data
Test
Leaving Little Time for
Design and Innovation
Data Infrastructure Design Other
Slow Time To Market Kills Innovation
Source: Lessons from the App Masters. Apigee Institute. 2015
Innovation Momentum
6
CLOUD APIS
Fintech Apps
TERMINALS
Front-Office
FEEDS
Mid-Office
FILES
Back Office
API Generations
7
Program
Library
Program
Program
Program
Server
Program
Cloud
Pre-History
External Libraries
(60’s)
1st Generation APIs
RPCs
(70’s-80’s)
Network
2rd Generation APIs
Web APIs
(90’s-00’s)
3h Generation APIs
Cloud APIs
(00’s-10’s)
 Local
 Not Sharable
 Complex
 Not Scalable
 Remote
 Sharable
 Complex
 Not Scalable
 Internet
 Shared
 Simpler
 Scalable
 Internet
 Mutualized
 Simple
 Zero-Footprint
Internet Internet
The World of
Delayed/EOD Data
The World of
Real-Time Data
The World of
Low Latency
The World of
Delayed/EOD Data
The World of
Real-Time Data
The World of
Low Latency
Cloud APIs Can Replace Legacy
Legacy Data Distribution Landscape
106
105
104
103
100
10
1
10-6 10-5 10-4 10-3 0.01 0.1 1 10 100 103 104
New Market Data Distribution Landscape
10-6 10-5 10-4 10-3 0.01 0.1 1 10 100 103 104
Latency (sec)
Frequency(updates/sec)
Low Latency
Feeds
Cloud APIs
Low Latency
Feeds
Real-Time
Feeds
EOD
Files
Delayed
Feeds
Terminals
How APIs Help Innovation
Easy, Zero Footprint APIs
Simplify Application Development
Design
Source Data Integrate Data
Test
And Free Time and
Resources For Innovation
Data Infrastructure Design Other
Benefits
Reducing Costs
• Eliminate inhouse hardware and software
• Mutualize infrastructure
• Remove vendor lock-in
• Improve controls and reduce spend
Driving Innovation
• Simplify and peed development
• Ease access to information
• Enable focus on business value
• Helps improve user experience
10
The Solution: Market Data Cloud
11
Mutualized Data
No Infrastructure
Lower Costs
Rapid Time to Market
Painless Deployment
Easy Innovation
Control over Data
Optimization of Spend
Usage Transparency
Cloud Data
APIs
Cloud Data
Distribution
Digital Channels Enterprise & EDM Systems
Hosted DataLicensed Data
Emulated APIsOpen APIs
Investment
Analytics
Trading &
Capital Markets
Compliance &
Risk
Wealth
Management
Reporting &
Accounting
Mid-Office Back-OfficeFront-Office
Innovation Track Record
Robo-Advisors & Robo-Platforms
Brokerage & Trading
Media
Retirement
Investor Reporting, IR & HR
Lending & Payments
Wealth & Portfolio Management
Compliance
Horizontal Enterprise Applications
Terminals
IoTE-Commerce Enterprise Financial Reporting
Research & Analytics
Social & Analytics
Search Engines
Back-Office & Processing
Enterprise
Systems
Digital
Channels
Two-Prong Cloud Adoption Strategy
Investment
Analytics
Trading &
Capital Markets
Compliance &
Risk
Wealth
Management
Reporting &
Accounting
Mid-Office Back-OfficeFront-Office
DRIVE INNOVATION
Use Cloud APIS to power next-generation digital channel and
work your way through the front and mid-office application stack.
GAIN CONTROL
Centralize your reference data in the cloud and use emulated
APIs to control the distribution of data to legacy systems.
Example: Wealth Management Application
Integrate disparate sources
Multiple data types
Inconsistent legacy technologies
Inconsistent symbologies
Complex programming
Tons of infrastructure
Infrastructure re-caching
Internal provisioning issues
Large capex and opex
14
TRADITIONAL APPROACH: INTEGRATE MULTIPLE SOURCES
ColocationColocation
EXCHANGES VENDORS
Databases
Handlers
Databases
Analytics Engines
Databases
Tick Databases
App Servers
Cache Servers
Fanout Servers
Messaging Servers
Processing Engines
Search Engines
Handlers
Feeds Files
Proprietary
Processing Engines
Vendor Proprietary
Servers
Redundancy
Compliance
Silos
Personnel
Upgrades
Lock-in
Point to Point
Legacy
Historical Master Fundamental Real-Time
Historical Master Fundamental Real-Time
Example: Wealth Management Application
15
TRADITIONAL APPROACH: INTEGRATE MULTIPLE SOURCES
ColocationColocation
EXCHANGES VENDORS
Databases
Handlers
Databases
Analytics Engines
Databases
Tick Databases
App Servers
Cache Servers
Fanout Servers
Messaging Servers
Processing Engines
Search Engines
Handlers
Feeds Files
Proprietary
Processing Engines
Vendor Proprietary
Servers
Redundancy
Compliance
Silos
Personnel
Upgrades
Lock-in
Point to Point
Legacy
NEW APPROACH: CLOUD INTEGRATION
 Simple REST APIs
 Quick integration
 One-Stop-Shop
 Consistent behavior
 Consistent symbology
 No capex, no worries
Realtime
Data
APIs
Fundamental
APIs
Historical
Data
APIs Master
Data
APIs
Example: Streaming Data To Mobile Users
Tons of infrastructure
Peak activity scaling
Software licensing
Custom processing
Complex programming
6-12 months lead-time
Scaling buildup lead time
Monitoring required
Large capex and opex
16
TRADITIONAL APPROACH: IN HOUSE
ColocationColocation
EXCHANGES VENDORS
Databases
Handlers
Databases
Analytics Engines
Databases
Tick Databases
App Servers
Cache Servers
Fanout Servers
Messaging Servers
Processing Engines
Search Engines
Handlers
Feeds Files
Proprietary
Processing Engines
Vendor Proprietary
Servers
Redundancy
Compliance
Silos
Personnel
Upgrades
Lock-in
Point to Point
Legacy
ColocationColocation
EXCHANGES VENDORS
Databases
Handlers
Databases
Analytics Engines
Databases
Tick Databases
App Servers
Cache Servers
Fanout Servers
Messaging Servers
Processing Engines
Search Engines
Handlers
Feeds Files
Proprietary
Processing Engines
Vendor Proprietary
Servers
Redundancy
Compliance
Silos
Personnel
Upgrades
Lock-in
Point to Point
Legacy
 HTTP-based API
 Deploy instantly
 Straight to device
 High reliability
 Scalable to millions
 No capex, no worries
NEW APPROACH: CLOUDSTREAMINGTRADITIONAL APPROACH: IN HOUSE
17
CloudStreaming
Example: Streaming Data To Mobile Users
Example: Engaging Clients with Market Alerts
Tons of infrastructure
Huge amounts of data to process
Significant integration effort
Peak scaling challenges
Complex programming
6-12 months minimum lead time
Hard to expand
Monitoring required
Large capex and opex
18
TRADITIONAL APPROACH: IN HOUSE
ColocationColocation
EXCHANGES VENDORS
Databases
Handlers
Databases
Analytics Engines
Databases
Tick Databases
App Servers
Cache Servers
Fanout Servers
Messaging Servers
Processing Engines
Search Engines
Handlers
Feeds Files
Proprietary
Processing Engines
Vendor Proprietary
Servers
Redundancy
Compliance
Silos
Personnel
Upgrades
Lock-in
Point to Point
Legacy
Capture
Rules
Process
Rules
Cross Market
Data
Notify Clients
Example: Engaging Clients with Market Alerts
19
TRADITIONAL APPROACH: IN HOUSE
ColocationColocation
EXCHANGES VENDORS
Databases
Handlers
Databases
Analytics Engines
Databases
Tick Databases
App Servers
Cache Servers
Fanout Servers
Messaging Servers
Processing Engines
Search Engines
Handlers
Feeds Files
Proprietary
Processing Engines
Vendor Proprietary
Servers
Redundancy
Compliance
Silos
Personnel
Upgrades
Lock-in
Point to Point
Legacy
Capture
Rules
Process
Rules
Cross Market
Data
Notify Clients
 Easy REST API
 Call-Back APIs
 Deploy instantly
 Flexible Alerts
 Scalable to millions
 No capex, no worries
NEW APPROACH: CLOUDALERTS
CloudAlerts
Internal Systems
Xignite: What We Do
Vision: Empower and inspire the future of finance.
Mission: We make market data easy. Period.
API API API
API API API
API API API
API API API
API API API
API API API
API API API
Unified Cloud Solution
Control
Scale
Integrate
Simplify
Market Data CloudLegacy Data Sources
Developers &
Applications
20
Xignite Differentiators
Any Delivery
CloudAPIs,
CloudStreaming,
CloudAlerts,
CloudFiles,
CloudWidgets
Any Asset Class
Equities, Funds,
Fixed Income,
Options, Futures,
Forex, FX, Credit
Any Frequency
Real-time, Delayed,
End-of-Day,
Historical
Any Data Type
Quotes, Valuation,
Fundamentals,
Master, Ticks &
Bars, Analytics, etc.
Any Market
NORTHAM, EMEA,
LATAM, APAC
Any Licensing
Exchange, Licensed,
Proprietary,
Contributed, Hosted
40B 71B
140B
457B
1.5T
2012 2013 2014 2015 2016
Historical Usage
(API Requests/Year)
Ease of Use Integration Scalability  
21
Data Coverage
22
Real-Time
Data
Fundamental
Data
Historical
Data
1.2M
Equities
250K
Funds
6,500
ETFs
3.5M Fixed
Income
5M
Derivatives
27K
Forex
Master
Data
• Identifiers
• Descriptors
• Classification Information
• Quotes
• Historical Prices
• Intraday Ticks and Bars
• Analytics
• Market Movers
• IPO Details
• Corporate Actions
• Symbol Changes
• Delisted Securities
• Historical Financials
• Analyst Estimates
• Earnings Announcements
• Economic Calendar
• News
• Etc.
Global Coverage
23
Multiple Delivery Methods
CloudAPIs
• HTTP REST
APIs
• XML, JSON,
CSV
•For most apps
CloudFiles
• FTP/SFTP Files
• XML/CSV output
• For large data
sets
CloudStreaming
• HTTP Streaming
• JSON patch
• Stream to device
CloudWidgets
• HTML5
Widgets
• Web Insertion
• For web sites
CloudAlerts
• Rule-based
Alerts
• Via API call-
backs
• For high
volumes
CloudAddin
• Simple Paradigm
• Easy Excel Add-
in
• For end users
24
About Xignite
Making Market Data Easy
• Cloud-based market data solutions
• Targeting fintech and financial services
• 1000+ customers in 55 countries
Track Record of Innovation
• 1st commercial API ever
• 1st to bring market data to the public Cloud
• 1st cloud-based market data distribution
• 1st market data API to reach 1 trillion hits/year
Proven & Fast-Growing
• 55 employees
• Offices in San Mateo and New York City
• VC-Backed - $37M raised in 3 rounds
• Funded in 2006
BNY Mellon WTC Trading Floor Displays, New York City – Powered by Xignite
26
Webinar Recap
On Demand
• A recording of today’s webinar will be available on-demand.
• An email will be sent next week with details to access the replay.
Presentation Slides
• The slides will be sent to all attendees via email next week.
Q&A
• Please feel free to submit any questions now.
• We will answer as many as possible and aggregate the Q&A to be emailed next
week.

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How Cloud Based Market Data Enables Innovation

  • 1. How Cloud-Based Market Data Enables Innovation Stephane Dubois, CEO and Founder - @sdubois Xignite, Inc.
  • 2. The Problem: Legacy Hinders Innovation Legacy Technologies Database Silos Rigid Infrastructures Point-to-Point Interfaces Proprietary Technologies No Innovation High Infrastructure Costs Lack of Transparency Compliance Risks Vendor Lock-in Investment Analytics Trading & Capital Markets Compliance & Risk Wealth Management Reporting & Accounting Mid-Office Back-Office TERMINALS Front-Office FEEDS Mid-Office FILES Back Office 2 Front-Office
  • 3. Digital Innovation Drives Success Source: Lessons from the App Masters. Apigee Institute. 2015
  • 4. How Infrastructure Eats Innovation Much Time and Effort is Spent Building Up Infrastructure & Integration Design Source Data Provision Rack Space Acquire Hardware Configure Hardware Deploy Hardware Source Connectivity Provision Connectivity Test Connectivity Install Database Test Feed/Files Process Feeds/Files Load Database Sync database Test Data Integrity Implement Redundancy Provision for Scalability Implement Monitoring Integrate Data Test Leaving Little Time for Design and Innovation Data Infrastructure Design Other
  • 5. Slow Time To Market Kills Innovation Source: Lessons from the App Masters. Apigee Institute. 2015
  • 6. Innovation Momentum 6 CLOUD APIS Fintech Apps TERMINALS Front-Office FEEDS Mid-Office FILES Back Office
  • 7. API Generations 7 Program Library Program Program Program Server Program Cloud Pre-History External Libraries (60’s) 1st Generation APIs RPCs (70’s-80’s) Network 2rd Generation APIs Web APIs (90’s-00’s) 3h Generation APIs Cloud APIs (00’s-10’s)  Local  Not Sharable  Complex  Not Scalable  Remote  Sharable  Complex  Not Scalable  Internet  Shared  Simpler  Scalable  Internet  Mutualized  Simple  Zero-Footprint Internet Internet
  • 8. The World of Delayed/EOD Data The World of Real-Time Data The World of Low Latency The World of Delayed/EOD Data The World of Real-Time Data The World of Low Latency Cloud APIs Can Replace Legacy Legacy Data Distribution Landscape 106 105 104 103 100 10 1 10-6 10-5 10-4 10-3 0.01 0.1 1 10 100 103 104 New Market Data Distribution Landscape 10-6 10-5 10-4 10-3 0.01 0.1 1 10 100 103 104 Latency (sec) Frequency(updates/sec) Low Latency Feeds Cloud APIs Low Latency Feeds Real-Time Feeds EOD Files Delayed Feeds Terminals
  • 9. How APIs Help Innovation Easy, Zero Footprint APIs Simplify Application Development Design Source Data Integrate Data Test And Free Time and Resources For Innovation Data Infrastructure Design Other
  • 10. Benefits Reducing Costs • Eliminate inhouse hardware and software • Mutualize infrastructure • Remove vendor lock-in • Improve controls and reduce spend Driving Innovation • Simplify and peed development • Ease access to information • Enable focus on business value • Helps improve user experience 10
  • 11. The Solution: Market Data Cloud 11 Mutualized Data No Infrastructure Lower Costs Rapid Time to Market Painless Deployment Easy Innovation Control over Data Optimization of Spend Usage Transparency Cloud Data APIs Cloud Data Distribution Digital Channels Enterprise & EDM Systems Hosted DataLicensed Data Emulated APIsOpen APIs Investment Analytics Trading & Capital Markets Compliance & Risk Wealth Management Reporting & Accounting Mid-Office Back-OfficeFront-Office
  • 12. Innovation Track Record Robo-Advisors & Robo-Platforms Brokerage & Trading Media Retirement Investor Reporting, IR & HR Lending & Payments Wealth & Portfolio Management Compliance Horizontal Enterprise Applications Terminals IoTE-Commerce Enterprise Financial Reporting Research & Analytics Social & Analytics Search Engines Back-Office & Processing
  • 13. Enterprise Systems Digital Channels Two-Prong Cloud Adoption Strategy Investment Analytics Trading & Capital Markets Compliance & Risk Wealth Management Reporting & Accounting Mid-Office Back-OfficeFront-Office DRIVE INNOVATION Use Cloud APIS to power next-generation digital channel and work your way through the front and mid-office application stack. GAIN CONTROL Centralize your reference data in the cloud and use emulated APIs to control the distribution of data to legacy systems.
  • 14. Example: Wealth Management Application Integrate disparate sources Multiple data types Inconsistent legacy technologies Inconsistent symbologies Complex programming Tons of infrastructure Infrastructure re-caching Internal provisioning issues Large capex and opex 14 TRADITIONAL APPROACH: INTEGRATE MULTIPLE SOURCES ColocationColocation EXCHANGES VENDORS Databases Handlers Databases Analytics Engines Databases Tick Databases App Servers Cache Servers Fanout Servers Messaging Servers Processing Engines Search Engines Handlers Feeds Files Proprietary Processing Engines Vendor Proprietary Servers Redundancy Compliance Silos Personnel Upgrades Lock-in Point to Point Legacy Historical Master Fundamental Real-Time
  • 15. Historical Master Fundamental Real-Time Example: Wealth Management Application 15 TRADITIONAL APPROACH: INTEGRATE MULTIPLE SOURCES ColocationColocation EXCHANGES VENDORS Databases Handlers Databases Analytics Engines Databases Tick Databases App Servers Cache Servers Fanout Servers Messaging Servers Processing Engines Search Engines Handlers Feeds Files Proprietary Processing Engines Vendor Proprietary Servers Redundancy Compliance Silos Personnel Upgrades Lock-in Point to Point Legacy NEW APPROACH: CLOUD INTEGRATION  Simple REST APIs  Quick integration  One-Stop-Shop  Consistent behavior  Consistent symbology  No capex, no worries Realtime Data APIs Fundamental APIs Historical Data APIs Master Data APIs
  • 16. Example: Streaming Data To Mobile Users Tons of infrastructure Peak activity scaling Software licensing Custom processing Complex programming 6-12 months lead-time Scaling buildup lead time Monitoring required Large capex and opex 16 TRADITIONAL APPROACH: IN HOUSE ColocationColocation EXCHANGES VENDORS Databases Handlers Databases Analytics Engines Databases Tick Databases App Servers Cache Servers Fanout Servers Messaging Servers Processing Engines Search Engines Handlers Feeds Files Proprietary Processing Engines Vendor Proprietary Servers Redundancy Compliance Silos Personnel Upgrades Lock-in Point to Point Legacy
  • 17. ColocationColocation EXCHANGES VENDORS Databases Handlers Databases Analytics Engines Databases Tick Databases App Servers Cache Servers Fanout Servers Messaging Servers Processing Engines Search Engines Handlers Feeds Files Proprietary Processing Engines Vendor Proprietary Servers Redundancy Compliance Silos Personnel Upgrades Lock-in Point to Point Legacy  HTTP-based API  Deploy instantly  Straight to device  High reliability  Scalable to millions  No capex, no worries NEW APPROACH: CLOUDSTREAMINGTRADITIONAL APPROACH: IN HOUSE 17 CloudStreaming Example: Streaming Data To Mobile Users
  • 18. Example: Engaging Clients with Market Alerts Tons of infrastructure Huge amounts of data to process Significant integration effort Peak scaling challenges Complex programming 6-12 months minimum lead time Hard to expand Monitoring required Large capex and opex 18 TRADITIONAL APPROACH: IN HOUSE ColocationColocation EXCHANGES VENDORS Databases Handlers Databases Analytics Engines Databases Tick Databases App Servers Cache Servers Fanout Servers Messaging Servers Processing Engines Search Engines Handlers Feeds Files Proprietary Processing Engines Vendor Proprietary Servers Redundancy Compliance Silos Personnel Upgrades Lock-in Point to Point Legacy Capture Rules Process Rules Cross Market Data Notify Clients
  • 19. Example: Engaging Clients with Market Alerts 19 TRADITIONAL APPROACH: IN HOUSE ColocationColocation EXCHANGES VENDORS Databases Handlers Databases Analytics Engines Databases Tick Databases App Servers Cache Servers Fanout Servers Messaging Servers Processing Engines Search Engines Handlers Feeds Files Proprietary Processing Engines Vendor Proprietary Servers Redundancy Compliance Silos Personnel Upgrades Lock-in Point to Point Legacy Capture Rules Process Rules Cross Market Data Notify Clients  Easy REST API  Call-Back APIs  Deploy instantly  Flexible Alerts  Scalable to millions  No capex, no worries NEW APPROACH: CLOUDALERTS CloudAlerts Internal Systems
  • 20. Xignite: What We Do Vision: Empower and inspire the future of finance. Mission: We make market data easy. Period. API API API API API API API API API API API API API API API API API API API API API Unified Cloud Solution Control Scale Integrate Simplify Market Data CloudLegacy Data Sources Developers & Applications 20
  • 21. Xignite Differentiators Any Delivery CloudAPIs, CloudStreaming, CloudAlerts, CloudFiles, CloudWidgets Any Asset Class Equities, Funds, Fixed Income, Options, Futures, Forex, FX, Credit Any Frequency Real-time, Delayed, End-of-Day, Historical Any Data Type Quotes, Valuation, Fundamentals, Master, Ticks & Bars, Analytics, etc. Any Market NORTHAM, EMEA, LATAM, APAC Any Licensing Exchange, Licensed, Proprietary, Contributed, Hosted 40B 71B 140B 457B 1.5T 2012 2013 2014 2015 2016 Historical Usage (API Requests/Year) Ease of Use Integration Scalability   21
  • 22. Data Coverage 22 Real-Time Data Fundamental Data Historical Data 1.2M Equities 250K Funds 6,500 ETFs 3.5M Fixed Income 5M Derivatives 27K Forex Master Data • Identifiers • Descriptors • Classification Information • Quotes • Historical Prices • Intraday Ticks and Bars • Analytics • Market Movers • IPO Details • Corporate Actions • Symbol Changes • Delisted Securities • Historical Financials • Analyst Estimates • Earnings Announcements • Economic Calendar • News • Etc.
  • 24. Multiple Delivery Methods CloudAPIs • HTTP REST APIs • XML, JSON, CSV •For most apps CloudFiles • FTP/SFTP Files • XML/CSV output • For large data sets CloudStreaming • HTTP Streaming • JSON patch • Stream to device CloudWidgets • HTML5 Widgets • Web Insertion • For web sites CloudAlerts • Rule-based Alerts • Via API call- backs • For high volumes CloudAddin • Simple Paradigm • Easy Excel Add- in • For end users 24
  • 25. About Xignite Making Market Data Easy • Cloud-based market data solutions • Targeting fintech and financial services • 1000+ customers in 55 countries Track Record of Innovation • 1st commercial API ever • 1st to bring market data to the public Cloud • 1st cloud-based market data distribution • 1st market data API to reach 1 trillion hits/year Proven & Fast-Growing • 55 employees • Offices in San Mateo and New York City • VC-Backed - $37M raised in 3 rounds • Funded in 2006 BNY Mellon WTC Trading Floor Displays, New York City – Powered by Xignite
  • 26. 26 Webinar Recap On Demand • A recording of today’s webinar will be available on-demand. • An email will be sent next week with details to access the replay. Presentation Slides • The slides will be sent to all attendees via email next week. Q&A • Please feel free to submit any questions now. • We will answer as many as possible and aggregate the Q&A to be emailed next week.