This document provides an introduction and overview of NOSQL databases. It defines NOSQL as "not only SQL" databases that are an alternative to traditional relational databases. The key advantages of NOSQL databases are that they can handle huge datasets, scale easily, and provide fast and flexible querying. The main types of NOSQL databases are described as key-value stores, document databases, graph databases, and column-oriented databases. Examples of popular NOSQL databases and real-world uses by companies are also provided.

1. NOSQL
- Dhanshri M.Nagargoje

2. Contents
 Introduction to NOSQL
 Why NOSQL?
 Architecture
 Examples of NOSQL database
 NoSQL types
 Real World Use
 Conclusion

3. Basic Concepts
 Database – is a organized collection of
data.
 Data base Management System (DBMS)-
is a software package with computer
program.
 Relational DBMS - It is collection of data
items organized as a set of formally
described table.
 SQL-Special purpose programming
language designed for managing data in

4. NOSQL
 “NOSQL” = “Not Only SQL” =
Not Only using traditional relational DBMS
 Usually do not require a fixed table schema nor
do they use the concept of joins
 Alternative to traditional relational DBMS
• Flexible schema
• Quicker/cheaper to set up
• Massive scalability
• Relaxed consistency  higher performance &
availability

6. Why NOSQL?
 Every problem cannot be solved by
traditional relational database system
exclusively.
 Handles huge databases.
 Super flexible queries using map/reduce
 Rapid development (no fixed schema)
 Scale easily by adding servers
 High-write situations (eg activity tracking
or timeline rendering for millions of users)

7. Architecture

8. Characterstics
 Almost infinite horizontal scaling
 Very fast
 non-relational
 schema-free
 open source
 simple APIs
 Structured storage

9. Main NoSQL types -
 Key-Value Stores
 Document Databases
 Graph Databases
 ColumOriented
Data
Key-Value
Document
Column
Graph

10. Documents
 Documents are self contained,
aggregate data structures they consist
of attributes (name- value pairs)
attribute values have data types,which
can also be nested/hierarchical

11. Example document (JSON)
{
"id" : 1234,
"name" : {
"first" : “ddd",
"last" : “vvv"
},
"topics": [
"skating",
"music"
]
}

12. Key-value
 In a key-value store, a value is mapped
to a unique key to store data, supply
both key and value:
> store.set("user1234","...");
 To retrieve a value, supply its key:
> value = store.get("user1234");
keys are organised in databases,
buckets,
keyspaces etc.

13. Popular NoSQL
 Hadoop / Hbase
 Cassandra
 Amazon
SimpleDB
 MongoDB
 CouchDB
 Redis
 MemcacheDB
 Voldemort
 Hypertable
 Cloudata
 IBM
Lotus/Domino

14. NoSQL databases:

15. Real World Use
 Cassandra
◦ Facebook (original developer, used it till late 2010)
◦ Twitter
◦ Digg
◦ Reddit
◦ Rackspace
◦ Cisco
 BigTable
◦ Google (open-source version is HBase)
 MongoDB
◦ Foursquare
◦ Craigslist
◦ Bit.ly
◦ SourceForge
◦ GitHub

16. Conclusion
 NoSQL is a great problem solver
 Choose your NoSQL platform carefully
as each is designed for specific
purpose
 Get used to Map/Reduce

17. THANK
YOU..!!

18. Any
Questions????