Comparative Analysis of MySQL (Relational) with MongoDB (NoSQL) Databases - Tapa blanda

Sinopsis

As huge amount of data is increasing day by day and it cannot be managed easily by relational databases because of low scalability provided by the relational databases. The storage technology is still not capable enough for the performance and scalability that is needed to store data but after 2005 NoSQL databases have come in existence and start solving the problems that relational databases were facing before. NoSQL is a type of such databases that come under non-relational databases. There are four types of NoSQL databases and these types are { Key Value Store}, {Column Store} ,{ Document databases},{ Graph databases}, each one of these databases has different features. Now , the question arise is whether non-relational databases are the right choice to continue or to stay with the old relational databases for applications and web development and from where NoSQL came from, how they are represented and what are the types of relational and non-relational databases, these all questions are going to be explained in this thesis. The objectives of this thesis are to show that the why need of NoSQL databases became necessary with the time, second objective is to show the types and representation of various types of relational and non-relational databases, third objective is to focus about MongoDB which is a type of Document Databases under the category of NoSQL database that is a non-relational database and comparison of MySQL that is a relational database with MongoDB by how to represent these two databases and how to write answers for same query in MySQL and MongoDB, then a comparison analysis by calculating the time of selection, updating and deleting between MongoDB and MySQL .

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