Moving Towards Non-Relational Databases

Bhat, U. G.; Jadhav, Shraddha

doi:10.5120/284-446

Cited by 14 publications

(9 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A database management system (DBMS) is system software for creating and managing databases. The DBMS provides users and programmers with a systematic way to create, retrieve, update and manipulate data [13]. A DBMS enables its end users to create, update, read and delete data in a database.…”

Section: Database Management System (Dbms)mentioning

confidence: 99%

A Comparative Study of Unstructured Data with SQL and NO-SQL Database Management Systems

Malik¹,

Burney²,

Ahmed³

2020

JCC

View full text Add to dashboard Cite

This paper aims to establish a relative study between a relational Microsoft SQL Server database and a non-relational MongoDB database within the unstructured representation of data in JSON format. There is a great amount of work done regarding comparison of multiple database management applications on the basis of their performances, security etc., but we have limited information available where these databases are assessed on the basis of provided data. This study will mainly focus on looking at all the possibilities that both these database types offer us when handling data in JSON. We will accomplish this by implementing a series of experiments while taking into consideration that the subjected data does not require to be normalized; and therefore, evaluate the outcome to conclude the result.

show abstract

Section: Database Management System (Dbms)mentioning

confidence: 99%

A Comparative Study of Unstructured Data with SQL and NO-SQL Database Management Systems

Malik¹,

Burney²,

Ahmed³

2020

JCC

View full text Add to dashboard Cite

show abstract

“…With the continuous development of the Internet and cloud computing, various types of applications have emerged, which made database technology more demands, mainly in the following aspects (Bhat and Jadhav, 2010;Han et al, 2011).…”

Section: Challenges With Relational Databasementioning

confidence: 99%

From Relational Databases to NoSQL Databases: Performance Evaluation

Abdullah¹,

Zhuge²

2015

RJASET

View full text Add to dashboard Cite

In nowadays applications, the amount of data in the database grows exponentially. So, the DBMS must process these huge amounts of data as fast as possible. The main aim of this study is to prove that NoSQL databases process big data faster than relational database. The changing in applications, user and infrastructure characteristics, mostly of the Web 2.0 domain and cloud platform, led to explosion of data sources and massive workloads. These huge amounts of data have raised the problems of storage and usability of data as the usual Relational Database Management Systems (RDBMS) were unable to handle the exponentially growing data on a single in house server (vertical scalability). Furthermore, the required time to process these big data is an issue. The study implements prototype which verifies performance argument. The performance evaluation compares the insertion and retrieval speeds between MongoDB as NoSQL database and MySQL as relational database. The benchmarking performed shows that MongoDB is faster than MySQL in the most of scenarios we chose, particularly when we deal with huge amount of data.

show abstract

“…Database model is a theory or specification describing how a database is structured and used. Several such models have been suggested such as hierarchical, network, relational and non-relational [20]. Nowadays, relational database models are the dominant persistent storage technology.…”

Section: Data Modeling For Big Datamentioning

confidence: 99%

“…They can be easily deployed to multi-core or multi-server clusters serving modularization, scalability and incremental replication. Nonrelational databases being extremely scalable, offer high availability and reliability, even while running on hardware that is typically prone to failure, thereby challenging relational database, where consistency, data integrity, uptime and performance are of prime importance [20,21,33].…”

Section: B Relational Database Modelmentioning

confidence: 99%

Data Modeling for Big Data

Huda¹,

Hayun²,

Martun³

2015

Ultima InfoSys

View full text Add to dashboard Cite

Today the rapid growth of the internet and the massive usage of the data have led to the increasing CPU requirement, velocity for recalling data, a schema for more complex data structure management, the reliability and the integrity of the available data. This kind of data is called as Large-scale Data or Big Data. Big Data demands high volume, high velocity, high veracity and high variety. Big Data has to deal with two key issues, the growing size of the datasets and the increasing of data complexity. To overcome these issues, today researches are devoted to kind of database management system that can be optimally used for big data management. There are two kinds of database management system, relational database management system and nonrelational system that can be optimally used for big data management. There are two kinds of database management, Relational Database Management and Non-relational Database Management. This paper will give reviews about these two database management system, including description, vantage, structure and the application of each DBMS. Index Terms - Big Data, DBMS, Large-scale Data, Non-relational Database, Relational Database.

show abstract

Moving Towards Non-Relational Databases

Cited by 14 publications

References 1 publication

A Comparative Study of Unstructured Data with SQL and NO-SQL Database Management Systems

A Comparative Study of Unstructured Data with SQL and NO-SQL Database Management Systems

From Relational Databases to NoSQL Databases: Performance Evaluation

Data Modeling for Big Data

Contact Info

Product

Resources

About