7. 7
To provide the best database for how we build and
run apps today
MongoDB Vision
Build
– New and complex data
– Flexible
– New languages
– Faster development
Run
– Big Data scalability
– Real-time
– Commodity hardware
– Cloud
10. 10
Data HubUser Data Management
Big Data Content Mgmt & Delivery Mobile & Social
MongoDB Solutions
11. 11
• 10 of the Top Financial Services Institutions
• 10 of the Top Electronics Companies
• 10 of the Top Media and Entertainment
Companies
• 8 of the Top Retailers
• 6 of the Top Telcos
• 5 of the Top Technology Companies
• 4 of the Top Healthcare Companies
Fortune 500 & Global 500
15. 15
• Extended Offering
• Home delivery
• Online only supermarkets
– Lots of new companies
– Lots of traditional retailers populating the web
• Physical stores as complements
– Show rooms
– Pick up locations
Evolving Landscape
17. 17
• Understand your customer
• “Customize” what customer needs and wants
– And when he want’s it!
• Reward the your “fans”
• Make sure everyone knows they have been
rewarded
– Gamification is a strong powerful driver!
– points + points + points
Customer Loyalty
18. 18
• How easy it is nowadays to open a web shop?
• How many are approaching a need that you do
not attend?
• Is your market share growing or shrinking?
– Time to get a Vietnamese translator ?
• How fast can I react to habits and perception
change ?
New Competitors and Markets
20. 20
• It’s all about knowing your Customer
• Make better customized offers
• Avoid useless promotions
– Not valuable for your customers
– Degradation of your brand
• Make use of the network effect
• Analytics anyone?
Buying Patterns + Trends Prediction
27. 27
Shell
Command-line shell for
interacting directly with
database
Polyglot
Drivers
Drivers for most popular
programming languages and
frameworks
> db.collection.insert({product:“MongoDB”,
type:“Document Database”})
>
> db.collection.findOne()
{
“_id” : ObjectId(“5106c1c2fc629bfe52792e86”),
“product” : “MongoDB”
“type” : “Document Database”
}
Java
Python
Perl
Ruby
Haskell
JavaScript
28. 28
Developer/Ops Savings
• Ease of Use
• Agile development
• Less maintenance
Hardware Savings
• Commodity servers
• Internal storage (no SAN)
• Scale out, not up
Software/Support Savings
• No upfront license
• Cost visibility for usage growth
Cost Efficient
DB Alternative
29. 29
Cost Efficient
Dev. and Admin
Compute – Scale-Up Servers
Storage - SAN
Dev. and Admin
Compute – Scale-Up Servers
Storage - SAN
37. 37
MongoDB enables Gilt to roll out new revenue-
generating features faster and cheaper
Case Study
Problem Why MongoDB Results
• Monolithic Postgres
architecture expensive
to scale
• Limited ability to add
new features for
different business silos
• Spiky server loads
• Dynamic schema makes it
easy to build new features
• Alignment with SOA
• Cost-effective, horizontal
scaling
• Easy to use and maintain
• Developers can launch
new services faster, e.g.,
customized upsell emails
• Stable, sub-ms
performance on
commodity hardware
• Reduced complexity
yields lower overhead
38. 38
Serves variety of content and user services on
multiple platforms to 7M web and mobile users
Case Study
Problem Why MongoDB Results
• MySQL reached scale
ceiling – could not cope
with performance and
scalability demands
• Metadata management
too challenging with
relational model
• Hard to integrate
external data sources
• Unrivaled performance
• Simple scalability and
high availability
• Intuitive mapping
• Eliminated 6B+ rows of
attributes – instead
creates single document
per user / piece of content
• Supports 115,000+
queries per second
• Saved £2M+ over 3 yrs.
• “Lead time for new
implementations is cut
massively”
• MongoDB is default
choice for all new
projects
39. 39
Delivers agile automated supply chain service to
retailers powered by MongoDB
Case Study
Problem Why MongoDB Results
• RDBMS poorly-
equipped to handle
varying data types (e.g.,
SKUs, images)
• Inefficient use of
storage in RDBMS (i.e.,
90% empty columns)
• Complex joins degraded
performance
• Document-oriented model
less complex, easier to
code
• Single data store for
structured, semi-structured
and unstructured data
• Scalability and availability
• Analytics with MapReduce
• Decreased supplier
onboard time by 12x
• Grew from 400K records to
40M in 12 months
• Significant cost reductions
on schema design time,
ongoing developer effort,
and storage usage
43. 43
MongoDB Products and Services
Training
Online and In-Person for Developers and Administrators
MongoDB Management Service (MMS)
Cloud-Based Suite of Services for Managing MongoDB
Deployments
Subscriptions
MongoDB Enterprise, MMS (On-Prem), Professional Support,
Commercial License
Consulting
Expert Resources for All Phases of MongoDB Implementations
44. 44
For More Information
Resource Location
MongoDB Downloads mongodb.com/download
Free Online Training education.mongodb.com
Webinars and Events mongodb.com/events
White Papers mongodb.com/white-papers
Case Studies mongodb.com/customers
Presentations mongodb.com/presentations
Documentation docs.mongodb.org
Additional Info info@mongodb.com
Resource Location