Skip to main content

Overview of NoSQL database #DOTC_Mdb

Overview of NO SQL Database.

Hello Everyone,

Today we will discuss about NO SQL database which is very popular nowadays.  Before NOSQL database go through my previous blog for other IT related topics. As we know SQL follows RDBMS but NoSQL database not follows RDBMS concept. NOSQL means  "not only SQL"  are non tabular, and store data differently than relational tables. NoSQL databases come in a variety of types based on their data model. NOSQL  provide flexible schemas and scale easily with large amounts of data and high user loads. In present day, as we are handling huge amount of data, data being organized and well-structured actually creates a problem, especially at extremely large volumes.

Structured approach of RDBMS database like SQL slows down performance as data volume or size gets bigger and it is also not scalable to meet the needs of Big Data. So NoSQL was conceived as a completely different framework of databases that allows for high-performance, agile processing of information at a much bigger scale. This is the database well-adapted to the high demands of big data. Version of NoSQL runs the database MongoDB, which stores unstructured data. This means that you don’t need to know in advance exactly what kind of data you’ll be collecting and storing. You can collect a lot more data of different kinds and can access and analyze data much faster.NoSQL is centered on the concept of distributed databases, where unstructured data may be stored across multiple processing nodes, and often across multiple servers.

 

Benefits of NOSQL database :

Handle large volumes of data at high speed with a scale-out architecture.

Store unstuctured, semi-structured, or structured data.

Take full advantage of the cloud to deliver zero downtime.

Enable easy updates to schemas and fields.

Developer friendly.

 SQL vs  NOSQL

1. SQL is relational database whereas NOSQL are non relational database

2. SQL databases are vertically scalable, NoSQL databases are horizontally scalable.

3. SQL databases uses structured query language and have a predefined schema whereas  NoSQL databases have dynamic schemas for unstructured data.

4. SQL databases are better for multi-row transactions whereas NoSQL are better for unstructured data like documents.

5. SQL databases are mainly table based, while NoSQL databases stores document, key-value, graph or wide-column stores.

 

This is the overview of NOSQL database and nowadays NOSQL database highly used where data is big , but SQL databases provide great benefits for transnational data whose structure doesn't change frequently and where data integrity is paramount. It's also best for fast analytical queries. NoSQL databases provide much more flexibility and scalability, which lends itself to rapid development and iteration.

In big industry still SQL is used as it follows RDBMS concept and uses databases like Oracle, Sybase, DB2 etc whereas NON SQL uses Mongo Database which provide more flexibility, but still SQL and PL/SQL mostly uses in Banking and telecom domain.

Please go through this blog and let me know if you have any doubts. Blogs related to SQL , PL/SQL and other IT related topics you can explore it in my archive folder. In next blog I will come up with next interesting topic.

Thanks.


Comments

Popular posts from this blog

SQL and Classification of SQL in Oracle Database #Diksha Oracle Training Centre

  SQL and Classification of SQL in Oracle Database.   SQL is Structured Query Language , which is used for storing, manipulating and retrieving data stored in a relational database .SQL is the standard language for RDBMS. All the Relational Database Management Systems (RDMS) like Oracle, MySQL, Sybase, Informix, IBM DB2 and Microsoft SQL Server use SQL as their standard database language. Oracle is one of the more secured database as compared to other databases. Importance of   SQL : SQL and PL/SQL is a backend process where all data is stored and retrieved in GUI which created either by any programming languages like Java, C++, PHP etc. so we need to have very secure database so that there will be no impact for users. SQL allows users to access data in the relational database management systems. SQL is used to communicate with a database.SQL and PL/SQL allows users to create and drop databases tables , views , stored procedures , functions , packages , trigger et...

Top 50 Interview Questions On SQL and PL/SQL #DOTC_Mdb

                    Top 50 Interview Questions On SQL and PL/SQL. Today we will Discuss Top 50 interview questions and answers of SQL and PL/SQL which is frequently asked in interview.     Question 1: What is SQL and Classification of SQL? Answer SQL is a Structure Query Language which is vastly used in RDBMS database like Oracle, Sybase, DB2 , Microsoft SQL server etc.   Classification of SQL is as below: DDL (Data Definition Language):  Commands are  create , alter , drop , truncate etc DML (Data Manipulation Language) : Commands are  insert,update and delete . TCL (Transaction Control Language ) : Commands are  Commit , Rollback and Save point. DCL (Data Control Language) : Commands are Grant , Revoke Question 2:    What is meant by Joins? What are the types of join? Answer Joins are basically used to extract/get data from multiple tables using s...

Aggregate Functions and Group By Clause in Oracle with Examples #Diksha Oracle Training Centre

  Aggregate Functions and Group By Clause Oracle with Examples.   Hello Everyone, Today I will   discuss about   Aggregate function in SQL by using Group By Clause and different clauses with some examples . Please go tjrough my previous blogs in Archive folder for classification of SQL, Commands and   SQL joins for your understanding.   Aggregate Functions Allows us to perform a calculation on a set of values to return a single value . We can use Group by Clause to group the result-set by one or more columns. Also we can use Having clause to restrict or filter the data as per our requirement. Note: Whenever we use Aggregate function in SQL we can’t able to use where condition. To restrict or filter the record we need to use having clause instead of Where. Below is the most commonly used Aggregate function in SQL.   MAX : Max function   used to get the maximum values in a set of values. COUNT : This function used to count rows in ...