I know guys If you are reading this, you are here for the MongoDB Complete Installation. Before we go for the complete Installation process let me give a brief about MongoDB for those readers who just heard about it. MongoDB is the most popular NoSQL Database, if you are working on a big website and need to store large amount of data than MongoDB is one what you are looking for.
Until now may be you are thinking its looks like normal database so what is difference than RDBMS and why it is called as NoSQL.
So what is NO (Not only) in NoSQL is, the way of storing data. If you had already worked on RDBMS than you would know that RDBMS is the way of storing data in the structured form i.e in the Row-Column pattern. NoSQL stores data in unstructured form, which gives you far better performance, scalablity etc than the RDBMS. For complete difference please refer this RDBMS vs NoSQL.
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In this article you will understand difference between RDBMS and NoSQL.
RDBMS vs NoSQL
Relational database (RDBMS) is completely structured way of storing data like SQL and has been the primary model for database management during the past few decades and I know most of you already familiar with the SQL database . In the last several years, NoSQL database is getting widely adopted to solve various business problems. So with widely growing DB systems, developer might get confused. In this article I’II show you the difference between them and the evolution.
Relational Database Management System (RDBMS)
RDBMS is completely structured way of storing data. Itis a database management system (DBMS) that is based on the relational model. Data is stored in the form of rows and columns in RDBMS. Data is stored in the form of rows and columns in RDBMS. Some common relational database management systems that use SQL are: Oracle, Sybase, Microsoft SQL Server, Access, etc.
– >Provides data to be stored in tables
– >Persists data in the form of rows and columns
– >Provides facility primary key, to uniquely identify the rows
– >Creates indexes for quicker data retrieval
– >Provides a virtual table creation in which sensitive data can be stored and simplified query can be applied.
– >Sharing a common column in two or more tables(primary key and foreign key)
– >Provides multi user accessibility that can be controlled by individual users
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