5 Reasons that made MongoDB

the Leading NoSQL Database

Henrik Ingo

Solutions Architect, MongoDB

2

Hi, I am Henrik Ingo

@h_ingo

5 Reasons that made MongoDB

the Leading NoSQL Database

Henrik Ingo

Solutions Architect, MongoDB

4

1. Open Source

2. Replication

3. Sharding

4. Schemaless

5. Cloud, Big Data...

5 MongoDB features that are

NOT reasons to choose MongoDB

5

1. Open Source

2. Replication

3. Sharding

4. Schemaless

5. Cloud, Big Data...

Reasons to move FROM relational TO NoSQL

...all NoSQL Databases do this.

Ok, so what ARE the

Top 5 reasons to choose MongoDB?

1. General purpose

8

1. General Purpose Database

Big Data Product & Asset

Catalogs

Security &

Fraud

Internet of

Things

Database-as-a-

Service

Mobile

Apps

Customer Data

Management

Data

Hub

Social &

Collaboration

Content

Management

Intelligence Agencies

Top Investment and Retail Banks

Top US Retailer

Top Global Shipping Company

Top Industrial Equipment Manufacturer

Top Media Company

Top Investment and Retail Banks

9

5 NoSQL categories

Key Value Wide Column Document

Graph Map Reduce

Redis, Riak Cassandra

Neo4j Hadoop

10

MongoDB is a Document Database

MongoDBRich Queries

• Find Paul’s cars

• Find everybody in London with a car

built between 1970 and 1980

Geospatial• Find all of the car owners within 5km of

Trafalgar Sq.

Text Search• Find all the cars described as having

leather seats

Aggregation• Calculate the average value of Paul’s

car collection

Map Reduce

• What is the ownership pattern of colors

by geography over time? (is purple

trending up in China?)

{

first_name: ‘Paul’,

surname: ‘Miller’,

city: ‘London’,

location:

[45.123,47.232],

cars: [

{ model: ‘Bentley’,

year: 1973,

value: 100000, … },

{ model: ‘Rolls Royce’,

year: 1965,

value: 330000, … }

}

}

11

Most popular NoSQL database

12

Most popular NoSQL database

Document

Wide

ColumnWide

Column

KV

KVGraph DocumentKV KV

13

Hadoop

Document

Right tool for the right job

Column

KV

Graph

14

Hadoop

Right tool for the right job

RDBMS .

Document

Column

KV

Graph

15

Operational Database Landscape

2. Agile

17

Ease of use

Paul Downey (17419636)

Easy to use

18

Integrated single binary

Chalon Handmade (6206864791)

Integrated single binary

19

Replication & sharding

Replication & Sharding

Daniel Oines (7390222182)

20

mms.mongodb.com/learn-more/automation

MMS Automation

21

Schemaless iterative development

22

{

first_name: ‘Paul’,

surname: ‘Miller’,

city: ‘London’,

location:

[45.123,47.232],

cars: [

{ model: ‘Bentley’,

year: 1973,

value: 100000, … },

{ model: ‘Rolls Royce’,

year: 1965,

value: 330000, … }

}

}

Flexible Schema

23

Rich query language = less code

MongoDBRich Queries

• Find Paul’s cars

• Find everybody in London with a car

built between 1970 and 1980

Geospatial• Find all of the car owners within 5km of

Trafalgar Sq.

Text Search• Find all the cars described as having

leather seats

Aggregation• Calculate the average value of Paul’s

car collection

Map Reduce

• What is the ownership pattern of colors

by geography over time? (is purple

trending up in China?)

{

first_name: ‘Paul’,

surname: ‘Miller’,

city: ‘London’,

location:

[45.123,47.232],

cars: [

{ model: ‘Bentley’,

year: 1973,

value: 100000, … },

{ model: ‘Rolls Royce’,

year: 1965,

value: 330000, … }

}

}

24

Query language = JSON & JavaScript

db.collection.find( { "firstname" : "Henrik" } )

25

Real life agility

Customer Project RDBMS MongoDB

360O customer view

$22M

2 years

Failed

Minimal

90 days

In production

Subscriber database

20 tables

35 joins

login = 5 joins

high latencies

15 months

20 persons

5 collections

2 queries

login = 1 query

10x faster

4 months

10 persons

eCommerce analyticsprototyped only

perf challenges

prototype in 1 week

good perf

http://www.mongodb.com/lp/whitepaper/quantifying-business-advantage

3. JSON & JavaScript

27

MEAN stack

Express.js

28

MEAN stack

Express.js

JSON

JSON

29

JavaScript

JVM stack

JVM

RDBMS

JDBC Spring, Morphia

JSON

Tomcat, Jetty, Play, Spring...

JSON

4. Aggregation Framework

31

OpenStreetMap data as JSON

db.collection.find( { "firstname" : "Henrik" } )

{ "_id" : 98684990,"addr:housenumber" : "4","website" : "http://www.ravintolapohjanpoika.fi/","amenity" : "pub","addr:city" : "Helsinki","addr:postcode" : "00770","location" : {

"type" : "Point","coordinates" : [

25.0760622,60.261145

]},"addr:street" : "Jakomäenkuja","addr:country" : "FI","name" : "Pohjanpoika"

}

http://rosslawley.co.uk/posts/the-most-popular-pub-name/

32

OpenStreetMap data as JSON

db.collection.find( { "firstname" : "Henrik" } )

db.pubs.aggregate( [ { $match : { "addr:city" : { $in :

[ "Helsinki", "Turku", "Tampere" ] } } },{ $group : { "_id" : "$addr:city", "count" : { "$sum" : 1 } } },{ $sort : { "count" : -1 } }

] )

{ "_id" : "Helsinki", "count" : 150 }{ "_id" : "Tampere", "count" : 53 }{ "_id" : "Turku", "count" : 23 }

33

Big Data warning: data may be dirty

db.collection.find( { "firstname" : "Henrik" } )

db.pubs.find( { "addr:city" : { $exists : false } } ).count()

2291

db.pubs.find( { "addr:city" : { $exists : true } } ).count()

701

34

Sharding is a first class citizen

db.collection.find( { "firstname" : "Henrik" } )

{ $match : ... }{ $group : ... }{ $sort : ... }

DB DB DB

Query Router

35

Sharding is a first class citizen

db.collection.find( { "firstname" : "Henrik" } )

{ results }

{ $match : ... }{ $group : ... }{ $sort : ... }

{ $match : ... }{ $group : ... }{ $sort : ... }

{ $match : ... }{ $group : ... }{ $sort : ... }

{ $group : ... }{ $sort : ... }

5. Ecosystem

37

7,000,000+ MongoDB Downloads

150,000+ Online Education Registrants

35,000+ MongoDB Management Service (MMS) Users

30,000+ MongoDB User Group Members

20,000+ MongoDB Days Attendees

Global Community

38

MongoDB Partners (500)

Software & Services

Cloud & Channel Hardware

39

MongoDB Inc

350+ employees 1,000+ customers

Over $231 million in funding13 offices around the world

Summary

41

1. Open Source

2. Replication

3. Sharding

4. Schemaless

5. Agile, Cloud, Big Data...

5 MongoDB features that are

NOT reasons to choose MongoDB

42

1. General purpose

2. Agile

3. JSON & JavaScript

4. Aggregation framework

5. Ecosystem

Top 5 reasons to choose MongoDB