1.
SQL vs. NoSQL
Data in the world of social media
Jon Limjap
Microsoft MVP for C#

2.
Who am I?
• I’m Jon 
– Blog: http://dotnet.kapenilattex.com
– Twitter: @lattex
• Does anybody remember…
• I’m a developer, not a DBA
• I’ve worked on mainframe, desktop, web, and
mobile
• I’m a member of MSDEV.PH / PHISSUG /
DevCon

3.
Why not SQL?

4.
Why not SQL?
• Internet scale
• 100s of millions of concurrent users
• Massive data collections – Terabytes to
Petabytes of data
• 24/7 across the globe

5.
Why not SQL?

6.
NoSQL doesn’t mean no data :p
• It’s not Anti SQL or absolutely no SQL
• N(ot) O(nly) SQL
• Non-relational Databases

7.
What is NoSQL good for?
• High Availability
• High Performance
• Horizontal Scalability

8.
Types of NoSQL Data Stores
Document
Key-Value
Column Sets Oriented
Store
(JSON)
XML Graph BLOBs
Object Etc…

9.
Some NoSQL Data Stores

10.
j = { name : "mongo" }
k = { x : 3 }
db.things.insert( j )
db.things.insert( k )
db.things.find()
{ "_id" :
ObjectId("4c2209f9f3924d31102bd84a"), "name" :
"mongo" }
{ "_id" :
ObjectId("4c2209fef3924d31102bd84b"), "x" : 3 }

11.
for (var i = 1; i <= 10; i++) db.things.insert( { x : 4 , j : i } )
db.things.find()
{ "_id" : ObjectId("4c2209f9f3924d31102bd84a"), "name" : "mongo" }
{ "_id" : ObjectId("4c2209fef3924d31102bd84b"), "x" : 3 }
{ "_id" : ObjectId("4c220a42f3924d31102bd856"), "x" : 4, "j" : 1 }
{ "_id" : ObjectId("4c220a42f3924d31102bd857"), "x" : 4, "j" : 2 }
{ "_id" : ObjectId("4c220a42f3924d31102bd858"), "x" : 4, "j" : 3 }
{ "_id" : ObjectId("4c220a42f3924d31102bd859"), "x" : 4, "j" : 4 }
{ "_id" : ObjectId("4c220a42f3924d31102bd85a"), "x" : 4, "j" : 5 }
{ "_id" : ObjectId("4c220a42f3924d31102bd85b"), "x" : 4, "j" : 6 }
{ "_id" : ObjectId("4c220a42f3924d31102bd85c"), "x" : 4, "j" : 7 }
{ "_id" : ObjectId("4c220a42f3924d31102bd85d"), "x" : 4, "j" : 8 }
{ "_id" : ObjectId("4c220a42f3924d31102bd85e"), "x" : 4, "j" : 9 }
{ "_id" : ObjectId("4c220a42f3924d31102bd85f"), "x" : 4, "j" : 10 }

12.
db.things.find({name: "mongo"})
{ "_id" :
ObjectId("4c2209f9f3924d31102bd84a"), "nam
e" : "mongo" }

13.
What’s the big deal?

14.
ACID vs. BASE

15.
ACID vs. BASE
• ACID:
– Atomic: Every transaction should succeed else
transaction is roled back
– Consistent: Every transaction leaves database in a
valid (consistent) state
– Isolation: Transactions don’t interfere with each
other
– Durable: Completed transactions persist, even
when servers restart

16.
ACID vs. BASE
• BASE
– Basic Availability: The data store should be up all
of the time
– Soft state: The data store can be cached
somewhere else if the data store is not available
– Eventual consistency: The data store can have
conflicting transactions, but should eventually
reach a valid state

17.
Where shouldn’t I use NoSQL?

18.
Conclusion
• SQL is great when you need ACID
• NoSQL is great when you need BASE
• Choose the right tool for the right job

19.
Thank You!
• Blog: http://dotnet.kapenilattex.com
• Twitter: @lattex

20.
References
• John D. Cook – ACID versus BASE for database transactions
http://www.johndcook.com/blog/2009/07/06/brewer-cap-
theorem-base/
• Getting Started with MongoDB Development –
http://docs.mongodb.org/manual/tutorial/getting-started/
• Michael Rys – SQL and NoSQL Are Two Sides of the Same
Coin – http://www.slideshare.net/MichaelRys/sql-and-
nosql-are-two-sides-of-the-same-coin-strata-2012
• Vamshi Krishna Reddy Vangapally – No sql databases -
http://www.slideshare.net/vamshi4001/no-sql-databases
• Venu Anuganti – SQL, NoSQL, BigData in Data Architecture -
http://www.slideshare.net/vanuganti/sql-nosql-bigdata-in-
data-architecture