COMPARISON OF NOSQL AND SQL'S PERFORMANCE FOR COVID-19 DATA STORAGE (original) (raw)

IJERT-Overview of NoSQL Databases and A Concise Description of MongoDB

International Journal of Engineering Research and Technology (IJERT), 2020

https://www.ijert.org/overview-of-nosql-databases-and-a-concise-description-of-mongodb https://www.ijert.org/research/overview-of-nosql-databases-and-a-concise-description-of-mongodb-IJERTV9IS120152.pdf Larger data volume of various applications development leads to the today's IT growth, now a days it is observed, with Relational database we cannot work on large data to maintain high volume data base due to the strict constraints on data structure, data relations and so on. Various formats of different industries including unstructured data has to be stored and processed in the databases. Hence, NoSQL types are the solutions for various issues of large data base. Largely NOSQL (Not Only SQL) is sought-after due to the advantages such as horizontal scalability and flexibility. This paper, discusses about different types of No SQL database, including MongoDB, Couchdb, HBase, Cassandra, etc.

A Technical Insight on the New Generation Databases: NoSQL

International Journal of Computer Applications, 2015

The rapid acceptance of social networking sites like Facebook, Twitter etc and with the huge use of mobile phones, the data volume is increasing at the rate of terabytes. As the data size and variety is increasing dramatically, databases intend to be more schema-less and less strict, in order to achieve higher scalability. Their queries tend to be quick responding, which grants them very fast writes and even faster reads. All these could not be managed with our Relational Databases or SQL. The ease of scalability and improved security has increased the popularity of Not-Only SQL. But they are not as reliable or effective as Relational Databases. Here, in this paper, an extensive study of the pros and cons of SQL and NoSQL, their relevance in cloud and at last, an evaluation of some NoSQL databases is also done. General Terms NoSQL databases, Cloud and Big data.

EXPERIMENTAL EVALUATION OF NOSQL DATABASES

Relational databases are a technology used universally that enables storage, management and retrieval of varied data schemas. However, execution of requests can become a lengthy and inefficient process for some large databases. Moreover, storing large amounts of data requires servers with larger capacities and scalability capabilities. Relational databases have limitations to deal with scalability for large volumes of data. On the other hand, non-relational database technologies, also known as NoSQL, were developed to better meet the needs of key-value storage of large amounts of records. But there is a large amount of NoSQL candidates, and most have not been compared thoroughly yet. The purpose of this paper is to compare different NoSQL databases, to evaluate their performance according to the typical use for storing and retrieving data. We tested 10 NoSQL databases with Yahoo! Cloud Serving Benchmark using a mix of operations to better understand the capability of non-relational databases for handling different requests, and to understand how performance is affected by each database type and their internal mechanisms.

A Comparative Study of NoSQL Databases: MongoDB, HBase, and Phoenix

IJNTI, 2023

The exponential growth of data in recent years has necessitated the development and adoption of scalable, flexible, and efficient database management systems. Traditional relational databases have struggled to keep pace with the demands of modern data workloads, leading to the emergence of NoSQL databases. This paper presents a comprehensive comparative study of three prominent NoSQL databases: MongoDB, HBase, and Phoenix. Each of these databases is designed to handle large volumes of unstructured data, yet they differ significantly in their architecture, data models, and performance characteristics. MongoDB is a document-oriented database known for its flexibility and ease of use. It stores data in JSON

Using the advantages of NoSQL databases

2014

Relational databases are one of the underlying parts of modern organizations. Need for system scalability and development of Web 2.0. applications are one of the main drivers for NoSQL (Not only SQL) database rise. Another type of motivation is represented by trend of agile development with emphasis on reducing complexity requirements and increasing speed of application development. Considering higher costs in some areas of relational database system implementation, NoSQL databases are trying to directly reduce costs of maintaining scalability and offer solutions for effortless distribution and partitioning of data models. This paper will introduce the most used NoSQL database systems by positioning them directly into the scope of usage with emphasis on direct comparison with relational databases.