This document discusses alternatives to traditional relational database management systems (RDBMS), including key-value stores like Redis and Memcached, document databases like CouchDB and MongoDB, and object databases. It provides examples of popular NoSQL databases and how they differ from RDBMS in not using tables and columns and instead focusing on concepts like storing data by unique keys or embedding documents and collections.

1. A step away from
RDBMS
Dimitri Krassovski, a.k.a. labria.

2. RDMBS
• MySQL
• MSSQL Server
• Oracle
• PostgreSQL
• A lot more…

3. RDMBS
• Tables
• Columns

4. A Step Away
• Key-value store
• Document database
• Object database

5. Key-value store
• Memcached
• Redis
• Tokyo Cabinet
• Project Voldemort

6. Key-value store
• Store and retrieve data by a unique key
• Usually really fast
• Persistent/Non-persistent

7. Redis:
KVS with a twist
• Lists: Push, Pop, Range, Trim etc.
• Sets: Add, Remove, Intersect, Union etc.
• Increment/Decrement
• Async persistence

8. Document DBs
• CouchDB
• MongoDB
• Amazon SimpleDB
• ThruDB

9. CouchDB
• RESTful JSON interface
• Stores JSON encoded documents
• Document revisions
• Views as documents (Lotus Notes,
anyone?)
• Map/Reduce

10. • Documents and even embedded
documents
• Multiple data types
• Document collections
• Dynamic queries
• Index support

11. What about Rails?
• MongoMapper
• ActiveCouch
• Redis-store (Session and Cache)
• Waiting for Rails 3

12. And it FAILS
(for me, of course)
• CouchDB: slow. And CPU hugry, too!
• MongoDB: simply died on 10M records!

13. This has nothing to do
with the presentation.
• Use a real queue when you need one
• Use Sphinx as an external index