Introduction to No Sql Database

A NoSQL database can be called as non SQL or non relational database that provides a way to store and retrieve data modeled in non tabular format.

Why NoSqL?

A traditional database system prefers more predictable, structured data and has been dominating the database industry for the past few years. Nowadays as business grows,social media dominates there is a need

1.support a large number of concurrent users

2.Handle huge amount of semi structured data as well as unstructured data

3.High availability system without any downtime

4.Huge amount of data insertion and population

Hence , Relational databases are unable to meet these new requirements, and enterprises are therefore turning to NoSQL database technology.

RDBMS vs No SQL Database

Types of No Sql database system

four major types of NoSQL databases emerged: document databases, key-value databases, column based database , and graph databases.

Let’s explain each type.

Document databases:

Document-Oriented NoSQL DB stores and retrieves data as a key value pair but the value part associated with key is stored as a document. Each document is self-contained, which means no schema is required — giving a significant degree of flexibility over the data you have.

Amazon SimpleDB, CouchDB, MongoDB, Lotus Notes are popular Document oriented DBMS systems.

Key-value databases:

Here data is stored in key/value pairs format ,hence it can handle tons of data and heavy load.

These are the most basic type of NoSQL database and very useful for storing fairly basic information, like details about a customer.

Redis, Dynamo, Riak etc are popular key-value store Databases .

Column based database:

Column-based databases stored data into discrete columns instead of using rows.

It doesn’t consume space for a column when its value not exists or null.

Thus it increase speed while querying the data and deliver high performance on aggregation queries like SUM, COUNT, AVG, MIN etc. as the data is readily available in a column.

Hbase and Cassandra are the examples of columnar databases .

Graph databases:

A graph database is any storage system that provides index-free adjacency which means that every element contains a direct pointer to its adjacent element and no index lookups are necessary.

Here storage is in graphical format where node represents data and edge describes their relationship to other nodes.

These are useful for applications ranging from fraud detection to smart homes to search.

Neo4j, GraphDB etc. are popular Graph Databases.

As enterprises moves to the Digital Economy platform driven by cloud, mobile, social media, and big data technologies — Technical ,operations and development teams need to focus more in building and maintaining web, mobile, and Internet of Things (IoT) applications faster at greater scale. NoSQL is a demanding and the preferred database technology to support these applications.

Originally published at https://itechshree.blogspot.com.