Examining and juxtaposing the two NoSQL databases MongoDB and CouchDB
Author
Shahida B
Abstract
Relational
databases have been an essential component of technology for many years. It has
been, and in some cases, still is, the foundation of both large and small
organizations. However, a few flaws in relational databases gave rise to NoSQL
databases. NoSQL is not a particularly new technology, but it is one that is
rapidly expanding. The structured query language is also known as NoSQL. Today,
a variety of NoSQL databases are accessible depending on the user's needs. This
review combines numerous comparisons of these databases based on various attributes.
A few terms relating to NoSQL databases are also clarified and brought to
light. Additionally, a detailed comparison of the two most popular NoSQL
databases is evaluated.NoSQL is a component of a very narrow ecosystem with
fewer applications than relational databases. Relational databases are fairly
straightforward, which makes them easy to use, but the non-uniformity of the
expanding data causes an issue with them. Organizations manage millions of
pieces of data, which makes using a relational database challenging.
Additionally, the IoT is right outside our door, and NoSQL is better for IoT
applications. NoSQL was developed to address this non-uniformity and the
rapidly expanding data sets. NoSQL is mostly utilized in distributed, cloud,
and IoT systems. NoSQL databases eschew rigid schemas and prioritize
availability, scalability, and fault tolerance as key properties
Keywords
NoSQL database, MongoDB, CouchDB, Column Database, Key-value Database, Big Data, Big Data Analytics, RDBMS, and NoSQL
DOI : https://doi.org/10.55248/gengpi.2022.3.9.28
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