This document provides an overview of different types of databases, including relational, hierarchical, graph, document, and key-value databases. Relational databases using SQL are still the most common, being used in most businesses for applications like financial systems and school websites. Other database types are also widely used, such as hierarchical databases for user accounts and logging in, graph databases for social networks, and document and key-value databases for storing flexible data structures. Both traditional databases like MySQL and Oracle as well as newer non-relational databases are discussed.

1. Databases overview
Mårten Gustafson, 2010-11-12
Hitta.se

2. OS X PostgreSQL
HTML
Windows
Riak
PHP
MySQL Mårten Gustafson
Hitta.se
OpenLDAP
CouchDB Linux
Oracle
Java
Microsoft ActiveDirectory

3. Databases

5. fact / information / values

7. fundamentals / basics

8. foundation for information

9. Information
m@hitta.se
Mårten

10. Data models
• Relational
• Hierarchial
• Graph
• Document
• Key-Value

11. Relational databases
Person E-mail
1 m@hitta.se
Id Name
1 Mårten

12. Relational databases
• “Most of it” (it’s the standard)
• Present in “all” businesss
• eg. Financial systems
• eg.Your schools website

13. Hierarchical databases
User
Mårten
e-mail = m@hitta.se
phone = 0705-10 51 98

14. Hierarchical databases
• Account / logging in (Windows accounts)

15. Graph databases
Mårten
e-mail m@hitta.se
phone
0705-10 51 98

16. Graph databases
• Facebook (friends, friends of friends, etc)
• Twitter (followers)

17. Document databases
name: Mårten
email: m@hitta.se
phone: 0705-10 51 98

18. Document databases
• Hitta.se - PoI
• train stations, weather, traffic cameras

19. Key/Value
Mårten => m@hitta.se, 0705-10 51 98

20. Key/Value
• Hitta.se, profile pictures

21. “traditionals”
Namn Typ
Microsoft SQL Relational
Oracle Relational
PostgreSQL Relational
MySQL Relational
Microsoft Active Directory Hierarchial
OpenLDAP Hierarchical
Apache Directory Server Hierarchical
IBM Tivoli Directory Server Hierarchical
Novell eDirectory Hierarchical

22. “non-traditional”
Namn Typ
CouchDB Document
MongoDB Document
RavenDB Document
Neo4J Graph
InfiniteGraph Graph
Amazon Dynamo Key/Value
Dynomite Key/Value
Riak Key/Value
Redis Key/Value
Scalaris Key/Value
Tokyo Cabinet Key/Value
Voldemort Key/Value
Google BigTable Column family
HBase Column family
Cassandra Column family

23. Try it
Windows OS X / Linux
Graph Neo4J Neo4J
Key/Value ? Riak
Document CouchDB CouchDB
Relational PostgreSQL PostgreSQL

24. In the corporate world
• Now - now: relational databases
• Now - indirect: hierarchical
• Future?
• My guess: document, key/value

25. To read
Basics Deep dive

26. http://marten.gustafson.pp.se/
marten.gustafson@gmail.com
@martengustafson