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...
5
1. Open Source
2. Replication
3. Sharding
4. Schemaless
5. Cloud, Big Data...
Reasons to move FROM relational TO NoSQL
....
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...
9
5 NoSQL categories
Key Value Wide Column Document
Graph Map Reduce
Redis, Riak Cassandra
Neo4j Hadoop
10
MongoDB is a Document Database
MongoDB
Rich Queries
• Find Paul’s cars
• Find everybody in London with a car
built betw...
11
Most popular NoSQL database
12
Most popular NoSQL database
Document
Wide
Column
Wide
Column
KV
KV
Graph 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: 1...
23
Rich query language = less code
MongoDB
Rich Queries
• Find Paul’s cars
• Find everybody in London with a car
built bet...
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
S...
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...
32
OpenStreetMap data as JSON
db.collection.find( { "firstname" : "Henrik" } )
db.pubs.aggregate( [
{ $match : { "addr:cit...
33
Big Data warning: data may be dirty
db.collection.find( { "firstname" : "Henrik" } )
db.pubs.find( { "addr:city" : { $e...
34
Sharding is a first class citizen
db.collection.find( { "firstname" : "Henrik" } )
{ $match : ... }
{ $group : ... }
{ ...
35
Sharding is a first class citizen
db.collection.find( { "firstname" : "Henrik" } )
{ results }
{ $match : ... }
{ $grou...
5. Ecosystem
37
7,000,000+
MongoDB Downloads
150,000+
Online Education Registrants
35,000+
MongoDB Management Service (MMS) Users
30,00...
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 re...
42
1. General purpose
2. Agile
3. JSON & JavaScript
4. Aggregation framework
5. Ecosystem
Top 5 reasons to choose MongoDB
5 Reasons that made MongoDB the leading NoSQL Database
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5 Reasons that made MongoDB the leading NoSQL Database

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A comparison of NoSQL and relational databases and 5 unique MongoDB strengths that have made MongoDB so popular.

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5 Reasons that made MongoDB the leading NoSQL Database

  1. 1. 5 Reasons that made MongoDB the Leading NoSQL Database Henrik Ingo Solutions Architect, MongoDB
  2. 2. 2 Hi, I am Henrik Ingo @h_ingo
  3. 3. 5 Reasons that made MongoDB the Leading NoSQL Database Henrik Ingo Solutions Architect, MongoDB
  4. 4. 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. 5. 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.
  6. 6. Ok, so what ARE the Top 5 reasons to choose MongoDB?
  7. 7. 1. General purpose
  8. 8. 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. 9. 9 5 NoSQL categories Key Value Wide Column Document Graph Map Reduce Redis, Riak Cassandra Neo4j Hadoop
  10. 10. 10 MongoDB is a Document Database MongoDB Rich 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. 11. 11 Most popular NoSQL database
  12. 12. 12 Most popular NoSQL database Document Wide Column Wide Column KV KV Graph DocumentKV KV
  13. 13. 13 Hadoop Document Right tool for the right job Column KV Graph
  14. 14. 14 Hadoop Right tool for the right job RDBMS . Document Column KV Graph
  15. 15. 15 Operational Database Landscape
  16. 16. 2. Agile
  17. 17. 17 Ease of use Paul Downey (17419636) Easy to use
  18. 18. 18 Integrated single binary Chalon Handmade (6206864791) Integrated single binary
  19. 19. 19 Replication & sharding Replication & Sharding Daniel Oines (7390222182)
  20. 20. 20 mms.mongodb.com/learn-more/automation MMS Automation
  21. 21. 21 Schemaless iterative development
  22. 22. 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. 23. 23 Rich query language = less code MongoDB Rich 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. 24. 24 Query language = JSON & JavaScript db.collection.find( { "firstname" : "Henrik" } )
  25. 25. 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 analytics prototyped only perf challenges prototype in 1 week good perf http://www.mongodb.com/lp/whitepaper/quantifying-business-advantage
  26. 26. 3. JSON & JavaScript
  27. 27. 27 MEAN stack Express.js
  28. 28. 28 MEAN stack Express.js JSON JSON
  29. 29. 29 JavaScript JVM stack JVM RDBMS JDBC Spring, Morphia JSON Tomcat, Jetty, Play, Spring... JSON
  30. 30. 4. Aggregation Framework
  31. 31. 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. 32. 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. 33. 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. 34. 34 Sharding is a first class citizen db.collection.find( { "firstname" : "Henrik" } ) { $match : ... } { $group : ... } { $sort : ... } DB DB DB Query Router
  35. 35. 35 Sharding is a first class citizen db.collection.find( { "firstname" : "Henrik" } ) { results } { $match : ... } { $group : ... } { $sort : ... } { $match : ... } { $group : ... } { $sort : ... } { $match : ... } { $group : ... } { $sort : ... } { $group : ... } { $sort : ... }
  36. 36. 5. Ecosystem
  37. 37. 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. 38. 38 MongoDB Partners (500) Software & Services Cloud & Channel Hardware
  39. 39. 39 MongoDB Inc 350+ employees 1,000+ customers Over $231 million in funding13 offices around the world
  40. 40. Summary
  41. 41. 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. 42. 42 1. General purpose 2. Agile 3. JSON & JavaScript 4. Aggregation framework 5. Ecosystem Top 5 reasons to choose MongoDB
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