This is a teaser talk for the "Stig: Social Graphs and Discovery at Scale" session on Wednesday. We'll give a quick introduction to the concepts behind the Stig database, such as graph traversal, scalability, and eventual consistency. Learn how Stig can work for you!

1. Introducing Stig
Architect of Scalable Infrastructure - Jason Lucas

2. Stig is…
• A very large-scale non-SQL database,
– But it speaks SQL and can emulate many aspects of an SQL-based system.
• A graph-oriented data store,
– But it can also look like a key-value store, a set of relational tables, or a file
system.
• A foundation for building general web applications,
– B t it particularly excels at social apps.
But ti l l l t i l
• A general-purpose programming language in its own right,
– But can be used from other languages like PHP, Perl, Java, and Python.
• A distributed system with a shared-nothing architecture,
di t ib t d t ith h d thi hit t
– But offers developers a stable, consistent, easy-to-manage path to data.
• A solution to the complex problem of CAP-limited storage systems,
– But it empowers the developer rather than burdening him.

3. Is Your Project…
• Graph-shaped?
G h h d? • Really huge?
R ll h ?
– Representing graphs as graphs – The store scales very close to
(instead of as tables or key pairs) linearly, so more data just means
simplifies y
p your life. more machines.
– Stig graphs are fat, meaning they're – The size of the cluster doesn't
really any number of simultaneous, generally doesn't affect the
intersecting graphs, so go nuts. performance of individual
operations.
• Transactional?
– Reliably atomic state transitions • Deeply analytic?
also simplify your life. – Use inferences to describe relations
– Asynchronous transaction
y and conditions you're interested in.
management makes it more – Build up arbitrarily complex libraries
tolerable. of inference to extract meaning from
data.
• Real-time?
– C
Control the influence of updates
f f
with shared points-of-view.
– Never be blocked waiting for the
database to respond.

4. Come see us
• Stig: Social Graphs & Discovery at Scale
10:30 – 11:20AM
• Lunch ‘N Learn – Dive into the Stig query
gq y
language and API - 1:15 – 2:15PM
• Online
– www.stigdb.org
– jlucas@tagged.com