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@ldellaquila#VoxxedBerlin #OrientDB
Platinum Sponsor
- the 2nd generation
of
(Multi-Model) NoSQL
And why GraphDB are the starting point
of this revolution
@ldellaquila#VoxxedBerlin #OrientDB
Luigi Dell’Aquila
Director of Consulting
OrientDB LTD
Twitter: @ldellaquila
http://www.orientdb.com
@ldellaquila#VoxxedBerlin #OrientDB
“90% of the data 

in the world today 

has been created 

in the last two years alone.”
- IBM
@ldellaquila#VoxxedBerlin #OrientDB
Order #134
(Order) John
(Provider)
Commodore
Amiga 1200
(Product)
Frank
(Customer)
Monitor 40”
(Product)
Mouse
(Product)
Bruno
(Provider)
@ldellaquila#VoxxedBerlin #OrientDB
Order #134
(Order) John
(Provider)
Commodore
Amiga 1200
(Product)
Frank
(Customer)
Monitor 40”
(Product)
Mouse
(Product)
Bruno
(Provider)
Data by itself has little value, it’s the
relationship
between data that gives it
incredible value
@ldellaquila#VoxxedBerlin #OrientDB
Order #134
(Order) John
(Provider)
Commodore
Amiga 1200
(Product)
(Sells)
Frank
(Customer)
(Has)
(Makes)
Monitor 40”
(Product)
(Sells)
(Has)
Mouse
(Product)
Bruno
(Provider)
(Sells)
(Has)
@ldellaquila#VoxxedBerlin #OrientDB
Key/Value Databases
Document Databases
Graph Databases
Column Databases
@ldellaquila#VoxxedBerlin #OrientDB
Key/Value Databases
Document Databases Graph Databases
Column Databases
@ldellaquila#VoxxedBerlin #OrientDB
Why do most NoSQL products
avoid
managing relationships?
@ldellaquila#VoxxedBerlin #OrientDB
ID Name
10 John
11 John
24 Mike
28 Mike
ID Address
10 24
10 33
32 44
ID Location
24 Milan
33 London
18 Paris
18 Madrid
44 Moscow
Customer CustomerAddress Address
Is this
familiar?
@ldellaquila#VoxxedBerlin #OrientDB
What’s	wrong	
with	JOIN?
@ldellaquila#VoxxedBerlin #OrientDB
A-Z
A-L M-Z
Imagine	an		
Address	Book	
where	we	want	to	find	
Luigi’s	phone	number
Index Lookup: how does it work?
@ldellaquila#VoxxedBerlin #OrientDB
A-Z
A-L M-Z
A-L
A-D E-L
M-Z
M-R S-Z
Index Lookup: how does it work?
@ldellaquila#VoxxedBerlin #OrientDB
A-Z
A-L M-Z
A-L
A-D E-L
M-Z
M-R S-Z
A-D
A-B C-D
E-L
E-G H-L
Index Lookup: how does it work?
@ldellaquila#VoxxedBerlin #OrientDB
A-Z
A-L M-Z
A-L
A-D E-L
M-Z
M-R S-Z
A-D
A-B C-D
E-L
E-G H-L
E-G
E-F G
H-L
H-J K-L
Index Lookup: how does it work?
@ldellaquila#VoxxedBerlin #OrientDB
Index Lookup: how does it work?
A-Z
A-L M-Z
A-L
A-D E-L
M-Z
M-R S-Z
A-D
A-B C-D
E-L
E-G H-L
E-G
E-F G
H-L
H-J K-L
Luigi
Found!		
This	lookup	took	5	steps.	
With	millions	of	indexed	
records,	the	tree	depth	
could	be	1000’s	of	levels!
@ldellaquila#VoxxedBerlin #OrientDB
ID Name
10 John
11 John
24 Mike
28 Mike
ID Address
10 24
10 33
32 44
ID Location
24 Milan
33 London
18 Paris
18 Madrid
44 Moscow
Customer CustomerAddress Address
Joins are executed every time
you cross relationships
Querying million of records
joining 3-4 tables could
generate billions of
combinations
@ldellaquila#VoxxedBerlin #OrientDB
This is why the database
query performance
suffers as the database
increases in size
O(Log N)
@ldellaquila#VoxxedBerlin #OrientDB
PERFORMANCE
DATABASE SIZE
RDBMS performance on traversal
@ldellaquila#VoxxedBerlin #OrientDB
Solution: Graph Database!
@ldellaquila#VoxxedBerlin #OrientDB
“A graph database is any
storage system
that provides
index-free adjacency”
- Marko Rodriguez
(author of TinkerPop Blueprints)
@ldellaquila#VoxxedBerlin #OrientDB
Back to school:
Graph Theory crash course
@ldellaquila#VoxxedBerlin #OrientDB
Basic Graph
Luigi Berlin
Visited
@ldellaquila#VoxxedBerlin #OrientDB
Vertices	and	Edges	can	
have	properties
Vertices	are	directed
*	https://github.com/tinkerpop/blueprints/wiki/Property-Graph-Model
Property Graph Model*
Berlin	
country:	Germany
Luigi	
company:	OrientDB
Vertices	and	Edges	can	
have	properties
Vertices	and	Edges	can	
have	properties
Visited	
year:	2016
@ldellaquila#VoxxedBerlin #OrientDB
Luigi Berlin
Visited	
year:	2016
An	Edge	connects	only	2	vertices		
Use	multiple	edges	to	represent	1-N	and	
N-M	relationships
Worked	
year:	2016
1-N and N-M Relationships
@ldellaquila#VoxxedBerlin #OrientDB
Congrats! This is your diploma in
«Graph Theory»
@ldellaquila#VoxxedBerlin #OrientDB
How does a true*
Graph Database
manage relationships?
*a “Graph” layer on top of a DBMS doesn’t qualify as a true GraphDB
@ldellaquila#VoxxedBerlin #OrientDB
Luigi Berlin
Visited	
year:	2015
#13:55
#15:99
Each element in the
Graph has own immutable
Record ID
#22:11
(Edge)
(Vertex)
(Vertex)
Each element in the
Graph has own immutable
Record ID
Each element in the
Graph has own immutable
Record ID
@ldellaquila#VoxxedBerlin #OrientDB
Connections use
persistent pointers
Luigi Antwerp
Visited	
on:	2015
#13:55
#15:99out = #22:11
in = #22:11
#22:11
(Edge)
(Vertex)
(Vertex)
out = #13:55
in = #15:99
@ldellaquila#VoxxedBerlin #OrientDB
Luigi Antwerp
Visited	
on:	2015
#13:55
#15:99out = #22:11
in = #22:11
#22:11
(Edge)
(Vertex)
(Vertex)
out = #13:55
in = #15:99
@ldellaquila#VoxxedBerlin #OrientDB
Luigi Antwerp
Visited	
on:	2015
#13:55
#15:99out = #22:11
in = #22:11
#22:11
(Edge)
(Vertex)
(Vertex)
out = #13:55
in = #15:99
@ldellaquila#VoxxedBerlin #OrientDB
A Graph Database creates the
relationship just once
(when the edge is created)
VS
RDBMS computes the
relationship every time
you query a database
@ldellaquila#VoxxedBerlin #OrientDB
When you move from a RDBMS
to a Graph Database you jump
from a O(log N) speed to a near O(1)
With a Graph Database, the
traversing time is
not affected by database size!
This is huge in the BigData age
@ldellaquila#VoxxedBerlin #OrientDB
No costs to traverse relationships:
• Recommendation engines
• Social Applications
• Spatial Apps
• Master Data Management
• Information Clustering
John
Thriller
Comedy
Pulp
Fiction
Mr Bean
Theater
B
Theater
A
Theater C
NYC
San Josè
Lives in
Likes
@ldellaquila#VoxxedBerlin #OrientDB
So the Graph Model
Is the only solution to efficiently
manage relationships
But what about data complexity?
And data consistency?
And scaling?
@ldellaquila#VoxxedBerlin #OrientDB
RelationshipsComplexity>
Data Complexity >
Relational
Key Value
Column
Graph
Document
First generation NoSQL
@ldellaquila#VoxxedBerlin #OrientDB
Oracle
(RDBMS)
Redis or
Memcache
(Key/Value)
MongoDB
(DocDB)
Neo4j
(GraphDB)
Application
ETL
Primary
DB
@ldellaquila#VoxxedBerlin #OrientDB
Oracle
(RDBMS)
Redis or
Memcache
(Key/Value)
MongoDB
(DocDB)
Neo4j
(GraphDB)
Application
ETL
- No standard between NoSQL
products
- Multiple vendors = multiple skills
- ETL + synchronization code
is costly to write and maintain
- Performance and Reliability is
hard to predict
@ldellaquila#VoxxedBerlin #OrientDB
2nd Generation NoSQL
is
Multi-Model
2nd Generation NoSQL
is
Multi-model
@ldellaquila#VoxxedBerlin #OrientDB
GraphDocument
Object
Key/Value
Multi Model represents the
intersection
of multiple models in just one
product
What’s Multi-Model DBMS?
@ldellaquila#VoxxedBerlin #OrientDB
GraphDocument
Object
Key/Value
Multi Model represents the
intersection
of multiple models in just one
product
What’s Multi-Model DBMS?
- Just one product to learn and maintain
- Just one vendor relationship to manage
- No ETL, no synchronization required
- Performance and Reliability is easy to test from the beginning
@ldellaquila#VoxxedBerlin #OrientDB
`
{
”@rid": “12:382”,
”@class": ”Customer",
“name”: “Frank”,
“surname” : “Raggio”,
“phone” : “+39 33123212”,
“details”: {
“city”:”London",
“tags”:”millennial”
}
}
Frank
Order
M
akes
General purpose solution:
• JSON
• Schema-less
• Schema-full
• Schema-hybrid
• Nested documents
• Rich indexing and querying
• Developer friendly
@ldellaquila#VoxxedBerlin #OrientDB
RelationshipsComplexity>
Data Complexity >
Relational
Key Value
Column
Graph Multi-Model
Document
Second Generation NoSQL
@ldellaquila#VoxxedBerlin #OrientDB
With a true Graph, Document,
Key/Value and Object Oriented engine
@ldellaquila#VoxxedBerlin #OrientDB
FEATURES ORIENTDB)) MONGODB NEO4J
MYSQL)
(RDBMS)
Operational Database X X X
Graph Database X X
Document Database X X
Object-Oriented Concepts X
Schema-full, Schema-less, Schema mix X
User and Role & Record Level Security X
Record Level Locking X X X
SQL X X
ACID Transaction X X X
Relationships (Linked Documents) X X X
Custom Data Types X X X
Embedded Documents X X
Multi-Master Zero Configuration Replication X
Sharding X X
Server Side Functions X X X
Native HTTP Rest/ JSON X X
Embeddable with No Restrictions X
X
X
@ldellaquila#VoxxedBerlin #OrientDB
• Support for TinkerPop standard for
Graph DB: Gremlin language and
Blueprints API
• SQL + extensions for graphs
• JDBC driver to connect any BI tool
• HTTP/JSON support
• Drivers in Java, Node.js, Python,
PHP, .NET, Perl, C/C++ and more
API & Standards
@ldellaquila#VoxxedBerlin #OrientDB
Master Node Master Node
C
C C C
CC
C
Multi-master
Replication
Atomic, Consistent, Isolated and Durable (ACID) multi-statement transactions
@ldellaquila#VoxxedBerlin #OrientDB
Master Node Master Node
C
C C C
CC
C
Auto-
Discovered
Node
@ldellaquila#VoxxedBerlin #OrientDB
DEMO
@ldellaquila#VoxxedBerlin #OrientDB
50,000
Downloads per
Month from 200+
countries.
70+
Committers
contributing to
the product
1000s
Users from SMBs
to Fortune 10
Companies.
17+
Years of Research
have been put in
the product
@ldellaquila#VoxxedBerlin #OrientDB
Graph DBMS increased their popularity by 500% within the last 2 years
Document DBMS are the 3rd fastest growing category
@ldellaquila#VoxxedBerlin #OrientDB
@ldellaquila#VoxxedBerlin #OrientDB
Udemy Getting Started Training is
and Free
http://www.orientechnologies.com/getting-started
OrientDB Enterprise is Free for
Development
OrientDB Community is FREE for any
purpose (APACHE 2 license)
@ldellaquila#VoxxedBerlin #OrientDB
Thank you!
Luigi Dell’Aquila
@ldellaquila
http://www.orientdb.com
Q/A

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