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Anoop Nayak
No SQL Databases
Introduction
“Years have passed by and the data we use are very different”
-Anonymous quote from a blog
Bits and
bytes
Business
Logic
and
Records
Photos,
Videos
and
what
not
But Database remained same…
1960’s
Navigational
DBMS
1970’s
Relational
DMBS and
SQL
1980’s SQL
2000’s SQL
?
Technology
Traditional Databases
DB1
DB2
DB3
NoSQL Databases
DB1
DB2
DB3
Technology(Continued)
• Developed in several layers which can be replaceable unlikeTraditional SQL
counterparts
• Does not follow standards and hence it uses the latest technologies. Eg:
Javascript is the language used in MongoDB
Performance
0 5000000 10000000 15000000 20000000 25000000
MySQL
MongoDB
Insert 50,000 records
Column1 Time Taken (ms)
Performance (Continued)
0 50000 100000 150000 200000 250000 300000 350000
MySQL
MongoDB
Selecting 50,000 from 2,00,00 records
Time Taken(ms)
Types of NoSQL Databases
• Document Store
• Graph
• Key-Value Store
• Multivalue databases
• Object Databases
• Tabular Databases
• Tuple Store
Document Store
What comes in your mind???
Graph
Heard this name somewhere before?
Key-Value Store
Stores as key-value pairs and hence
#fastest
Object Database
Stores stuff as objects as in the object
oriented programming language
Tabular Databases
The normal stuff. But again NO SQL 
Tuple Store
Anybody knowing python would know
what I mean by this
FYI
Features, Features and Features
No indexing = Faster Searching
 Very fast lookups.
 Lack of flexibility
Many NoSQL databases have caching
 Redbull for database.
 More resources used
Meant for the data today
 Easier to maintain
 Learning Curve
Meant to SCALE
 Scalability in DNA
 Scalable setup is
cumbersome at times
SQL
or
NoSQL
So now its your turn
Disclaimer:
1.All the above content is what I inferred from my
experience and knowledge from various blogs and
sites on internet.This is a relatively new topic but
again is being used in the industry and hence is
maturing fast.
2. I have no hatred towards SQL eventhough this
presentation is biased towards NoSQL. But todays
applications force us developers/engineers to move
onto alternatives.
Thank you

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No SQL Databases