MongoDB Session 2

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MongoDB (Session-2)

Types of NoSQL Databases

Types of NoSQL databases
• Distributed Key-Value Systems
• Key-Value pair storage.
• Amazon’s Dynamo
• Document-based Systems
• Data organized in documents.
• CouchDB
• MongoDB
• Column-based Systems
• Columnar representation.
• Google’s BigTable
• Facebook’s Cassandra
• Graph-based Systems
• Use a graph structure.
• Neo4j

Key-Value Pair Stores
Simplest NoSQL Data
Stores
Value is a Blob
Use Primary-Key access
<key = customerID>
<value = object>
Orders
Customer
BillingAddress
Order
Shipping Address
OrderPayment

Features
All key-value databases are different
Chose one based on your needs
Insert( key, Value), Fetch(Key), Update(Key), Delete(Key).

Document Store
Records Stored in distinct documents.
Embedded documents provide relations.

Features
JSON Documents.
No fixed data format.
Good for Big Data size collections.
Dynamic Updates

Column Based Stores
• Data tables are stored as sections of columns of data, rather
than as rows of data.
Column Family
Row
Row KeyX Column1 Column2 Column3

Features
Container of Rows.
This type of data store is good for
• Distributed data storage, especially versioned data because of
the time-stamps.
• Large-scale, batch-oriented data processing: sorting, parsing,
conversion, algorithmic crunching, etc.

Graph Database Systems
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Features
Nodes and Edges.
Relationship between data.
Index-free adjacency.
Graph databases are useful when you are more
interested in relationships between data than in the data
itself
• In representing and traversing social networks
• generating recommendations.

Just to Sum up
NOSQL is a broad term used to group databases that store and
retrieve data without using the traditional tabular relations of
RDBMS.
NOSQL is popularly known as Not Only SQL, because of the
fact that it is really more that mere SQLs.
It solves the problems of scalability and availability.
It facilitates the implementation of distributed database services.
Relax a subset of ACID to achieve scale
In context to the CAP’s theorem, the NOSQL databases
compromise on consistency and achieve high availability and
partition tolerance.
Simple programming model and administration
Variants include Key-Value store, Document Store, Column
based stores and Graph based stores.

Introduction to MongoDB

Actual Popularity

Production Deployments

Ranking

Skill Set Ratio

Momentum and Milestones
• The leading NoSQL database for start ups and
enterprises, MongoDB has amassed more than 900
customers, including 27 Fortune 100 companies.
• More than 6.5 million downloads of MongoDB
Fastest-growing community in Big Data, with more than
130 user groups and 28,000 user group members around
the world

MongoDB What??

Humongous
Open Source, Distributed, Schema free, Document Database.
Cross Platform.
Easy language Interface.

Mapping to Relational Database
Tables
Embedded
Documents
Joins
Rows and
Columns
DocumentsCollection

MongoDB Session 2

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