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