Mongodb : The Most Prominent Nosql Database Framework

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RDBMS stores the data in the form of tables and can be retrieved from the tables with the help of SQL Language. SQL was invented only after the invention of RDBMS. SQL – Sequential Query Language. Most common RDBMS’s are My SQL, DB2, Oracle, and Microsoft SQL. The reason for using RDBMS rather than a DBMS is that DBMS stores data in the form of Files whereas RDBMS stores data in the form of Tables containing rows and columns and there exists a primary key relationship such that the data stored in multiple tables can be retrieved using SQL. As RDBMS is a relational database model, the data is stored in the tables in the form of relations. RDBMS supports Distributed database and is designed to handle large amounts of data.

In order to make it easy to analyze the performance of the database.  We need to categorize the above databases. We can categorize them due to the content of the database. Dividing them into “bibliographic, document-text, statistical, or multimedia objects. Another way is by their application area, for example, accounting, music compositions, movies, banking, manufacturing, or insurance” [1]. In our project, we divide the database according to the computer software aspect. Mainly including the SQL database (relational database) and NoSQL database (non-relation database). We compare these two databases in below aspects:

Graph Databases – There are few NoSQL Databases store information in a graphical model which scales athwart numerous machines. This model is appropriate for data relationships which are preeminent portrayed as a graph, for example, public transport links, social relations, network topologies or road maps. (Zaki, 2014).

The modern RDBMS advancements are not capable of supporting unstructured information with ideal space necessity. The plan winds up plainly mind-boggling and is henceforth troublesome for designers. The requirement for unstructured information administration is so annoying with conventional RDBMS arrangements (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). Moreover, RDBMS turns out to be an exorbitant answer for creating light-footed web applications with direct information investigation necessities. NoSQL is developing as a proficient possibility in this situation, which connects the issues related with RDBMS innovation. The market development can credit to creative dispatches of NoSQL arrangements, and collective endeavors by NoSQL sellers and clients. The endeavors of organizations, to enhance their market offerings, are creating the request of NoSQL, as a back-end bolster (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). The emergence of agile software development is creating the demand for NoSQL (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). They offer users much more avenues to accept data in many different forms. NoSQL is adaptable as SQL but offers many more uses that can apply to many organizations.

such as web 2.0 sites[20], the growing number of internet users, as well as the

The database science grew in leaps and bounds, from the early file systems, to hierarchical and networked architectures, to the first relational style systems like IBM’s

MongoDB is a NoSQL document database that is scalable and flexible but allows querying and indexing. MongoDB is free and open-source, so it can be changed to suit any needs. (MongoDB, 2017b)

Currently, there are two major of database management systems which are used to deal with data, the first one called Relational Database Management System (RDBMS) which is the traditional relational databases, it deals with structured data and have been popular since decades from 1970, while the second one called Not only Structure Query Language databases (NoSQL), they have been dealing with semi-structured and unstructured data; the NoSQL term was introduced for the first time in 1998 by Carlo Strozzi and Eric Evans reintroduced the term NoSQL in early 2009, and now the NoSQL types are gaining their popularity with the development of the internet and the social media. NoSQL are intending to override the cons of RDBMS, such as fixed schemas, JOIN operations and handling the scalability problems. With the appearance of Big Data,

In Nowadays, there are two major of database management systems which are used to deal with data, the first one called Relational Database Management System (RDBMS) which is the traditional relational databases, it deals with structured data and have been popular since decades since 1970, while the second one called Not only Structure Query Language databases (NoSQL), they are dealing with semi-structured and unstructured data; the NoSQL types are gaining their popularity with the development of the internet and the social media since April 2009. NoSQL are intending to override the cons of RDBMs, such as fixed

Cofounders Keith Petri and Michael Griffiths created IGottaGuide.com in 2011. Petri states in his blog, KeithPetri.com, that IGG that was his first scalable technology start up company. Prior to working with Mr. Griffiths, both gentlemen had extensive experience in the service – based businesses. The idea for IGG came about one Petri and Griffiths were discussing the tourism industry. They saw the industry as being fragmented and hard to navigate with the massive amount of information and options available to the public. Both cofounders felt that the best way to experience a new city was to feel like a local. They wanted their users to have access and knowledge about all the cities they were traveling to. The idea was simple enough but finding local experts willing to share their knowledge, insight and time proved to be a more daunting task. As time had passed the cofounders were able to design, develop and launch a beta site within just two months. Keith Petri goes on in his

With the appearance of Big Data, there was clearly a need for more flexible databases. In this paper, we will review one of the graph database (Neo4j), and compared it with one of the traditional relational databases (MySQL) based on the features like ACID, replication, and the language that is used for both of them. MySQL is being another name for Relational Databases and it has been used for a long time period until now. And Neo4j which is a graph database and it is a part of the emerging technology that is called NoSQL is now trying to prove that there is a need for NoSQL usage.

According to (Edlich, P. 2015) he states that “The original intention has been modern web-scale databases. The movement began early 2009 and is growing rapidly.” When describing why NoSQL databases were created.

In 1995, Larry Page and Sergey Brin were introduced at Stanford University as graduate students in computer science. In January of 1996, the pair began working together on writing a program for a search engine dubbed BackRub, named after its ability to do back link analysis. Next, fueled by the rave reviews that BackRub received, Larry Page and Sergey Brin began working on Google. And then in September of 1998, Google Inc. opened in Menlo Park, California and Google.com, a beta search engine, was answering 10,000 search queries every day.

Information technology continues to revolutionize the interactions of mankind in various ways, through social media, business, education and other channels. The internet has made it possible to transmit large data across many networks. These networks have made it possible to store, access and query billion of data from large databases. Innovation has given rise to special language used to manage and access all sorts of information within various databases know as SQL. Recently a new generation of SQL known as NoSQL has been developed. NoSQL store related data in JSON-like, name-value documents and can store data without specifying a schema. One such type of NoSQL database that has been developed is the IBM Informix