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A survey on RDBMS and NoSQL Databases MySQL vs MongoDB | IEEE Conference Publication | IEEE Xplore

A survey on RDBMS and NoSQL Databases MySQL vs MongoDB


Abstract:

The breakneck development in the Internet showcase and the rising of the new web innovations with another challenges, fresh concepts and modern applicationsfor example, N...Show More

Abstract:

The breakneck development in the Internet showcase and the rising of the new web innovations with another challenges, fresh concepts and modern applicationsfor example, NoSQL databases which is as of late turns out to be well known as an option in contrast to the social databases particularly in managing huge information which is one of the most widely recognized highlights of the web today. This provideshigh accessibility and adaptability to the circulated frameworks when compared to RDBMS. Commonly distributed system needsquick access time and can't endure any vacation during disappointments and has been utilized vigorously by enormous endeavors and web organizations. Every new technology faced many challenges like effective access such as responses with high speed. This paper compares the concepts of NoSQL and Relational databases then it’s limitations. And address the advantages and types of NoSQL databases.
Date of Conference: 22-24 January 2020
Date Added to IEEE Xplore: 01 June 2020
ISBN Information:
Print on Demand(PoD) ISSN: 2329-7190
Conference Location: Coimbatore, India

I. INTRODUCTION

Today, the fast development of computers and the web causes an issue of proficient stockpiling and recovery of information. Very a lot of online exchanges and experimentation bring about gigantic measures of information that require efficient stockpiling arrangements. Databases assume a significant job so as to fulfill this requirement for putting away and recovering information in a sorted-out way. Two most ordinarily utilized database database types are SQL and NoSQL databases. The key idea of the SQL database is that the SQL database is the main Table based for example Social Database ( Relational DBMS).

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References

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