This document provides an introduction to MongoDB and includes several customer case studies. It discusses how MongoDB allows customers to intelligently store flexible data, run applications anywhere, and scale easily. Case studies describe how an insurance company built a single customer view in 90 days, how the city of Chicago created a real-time geospatial platform, and how an agricultural company increased farm outputs by 8% using IoT data stored in MongoDB. The document argues that MongoDB is uniquely positioned as a modern general purpose database and has significant funding to continue investing in its business.
5. Survey Results: Every business is a software business
Source:
Stripe, “The Developer
Coefficient”
6. It’s now about being a Great software business
Source:
Stripe, “The Developer
Coefficient”
7. 7
Maximizing developer velocity is key
Access to developers is a
bigger constraint on growth than
access to capital, according to
survey of thousands of C-level
executives.
The Developer Coefficient, Stripe
Developers spend 42% of their work
week on maintenance issues and fixing
bad code.
8. 88%
CIOs believe they have yet to benefit
from their digital strategy
Source: Harvey Nash / KPMG CIO Survey 2017
10. Why customers choose MongoDB
Best way to
work with data
Intelligently put data
where you need it
Freedom to
run anywhere
11. Mobile
Commerce
Mobile
Banking
Real-Time
Travel Search
Predictive
Messaging
Customer Marketing &
Personalization
Background Checks
as a Service
Shopping
Cart
Mobile App for
Patient Data
Connected
Car
Mass Spectrometer
Instrumentation
Ticket
E-Commerce
Online
Publishing
Content Mgt. &
Collaboration
Design
Collaboration
Swap Equities
Management
Trade Data
Intelligence System
Streaming
Financial Data
Accounting
Suite
Property
Appraisal
Online
Booking
Single View
of Patient
Genome
Sequencing
Online
Banking
Smart
Grid
Cryptocurrency
Trading
Order
Capture
Single View
of City
Logistics
Modernization
Social Security
Benefits Program
Product
Catalog
Gaming
Platform
Video
Streaming
Hourly Work
Platform
Log Metadata
Store
E-Commerce
Platform
Social Media
Management
27. Single View of Customer
Insurance leader generates coveted single view of
customers in 90 days – “The Wall”
Problem Why MongoDB ResultsProblem Solution Results
No single view of customer, leading to
poor customer experience and churn
145 years of policy data, 70+ systems,
24 different 1-800 numbers, 15+ front-
end apps that are not integrated
Spent 2 years, $25M trying build single
view with DB2 – failed
Built “The Wall,” pulling in disparate
data and serving single view to
customer service reps in real time
Flexible data model to aggregate
disparate data into single data store
Expressive query language and
secondary indexes to serve any field in
real time
Prototyped in 2 weeks
Deployed to production in 90 days
Decreased churn and improved ability
to upsell/cross-sell
28. Real-Time Geospatial
Platform for Innovation
Using MongoDB to create a smarter and safer city
Problem Why MongoDB ResultsProblem Solution Results
Siloed data across city departments
made it difficult for the City of Chicago
to intelligently analyze situations and
deliver services to its citizens
City needed a system that could not
only handle 7 million pieces of data /
day from 30+ departments, but also
run analytics across it to deliver insight
Used MongoDB’s flexible data model to
build the WindyGrid, a unified view of the
city’s operations that brings together
disparate datasets from 30 departments
Leveraged MongoDB’s rich analytics
features (aggregation framework,
geospatial indexes, etc) to create maps
that deliver real-time insight
Horizonal scalability with automatic
sharding across commodity servers
ensures the city can continue to cost
effectively deliver real-time results
A single view of the city’s operations on a
map of Chicago is now available to all
managers to help them better analyze and
respond to incidents in real-time
New predictive analytics system is
planned that will help prevent crimes
before they happen
450 data sets have been published to the
public, sparking even further innovation,
e.g., an app that alerts citizens when
street sweepers are coming
29. Agricultural IoT
Farmsight connected tractors let farmers use data to
increase output by 8% in initial trials
Problem Why MongoDB ResultsProblem Solution Results
Agricultural output must double by
2050 to meet population growth –
Deere wanted to help farmers use data
to get more out of each acre
IBM DB2 rigid schema made it hard to
store variety of data from tractors,
adapt to new business requirements
DB2 could not scale as data collection
grew faster than expected
Built Farmsight on MongoDB, using
flexible data model to ingest variety of
sensor data and iterate on app quickly
Secondary indexes (incl. geospatial)
allow for fast access to data;
aggregation framework for in-place
analysis
Auto-sharding allowed Deere to add
capacity in line with business growth
AgDecision Support – data collected in
MongoDB allows grower to increase
output by 8% in initial trials
Prototyping accelerated 6x, from 3
months --> 2 weeks
New apps drive revenue, increase
customer sat. and differentiate in stale
industrial market
30. Coinbase with over 20M users, $150B assets traded and $20B assets
stored, partners with MongoDB to scale reliably in the cloud to meet the
explosion of cryptocurrency demand
Coinbase’s mission is to create an
open financial system for the world.
MongoDB’s technology is enabling
us to scale globally and we’re
looking forward to partnering with
the company along our journey to
become the most compliant, reliable
and trusted crypto-trading platform
in the world.
–Niall O’Higgins,
Engineering Manager, Coinbase
“10x
platform resilience
improvement
80x
API RPM capacity improvement
in ~6 months
12x
improvement in
speed of scale
70%+
faster app development
release time
31.
32. Ease and flexibility of the document model led to massive early
adoption. We are the world’s most popular modern database.
Uniquely positioned as the only company who can credibly
offer a modern “general purpose” database.
First database company to go public in over 20 years. We’ve
raised over a half a billion dollars to invest in our business.
Why bet
on us?