INTRODUCTION
MongoDB is one of numerous cross-stage archive situated databases. Named a NoSQL database, MongoDB shuns the customary table-based social database structure for JSON-like archives with element constructions (MongoDB calls the organization BSON), making the combination of information in specific sorts of utilizations less demanding and quicker. Discharged under a mix of the GNU Affero General Public License and the Apache License, MongoDB is free and open-source programming.
Initially grew by the product organization 10gen in October 2007 as a part of an arranged stage as an administration item, the organization moved to an open source improvement show in 2009, with 10gen offering business backing and different administrations. From that point forward, MongoDB has been received as backend programming by various real sites and administrations, including Craigslist, eBay, Foursquare, Source Forge, Viacom, and the New York Times among others. MongoDB is the most prominent NoSQL database framework.
DESCRIPTION:
MongoDB was first developed by the software company 10gen now called as MongoDB Inc. in October 2007 as a component of a planned platform as a service product, the company shifted to an open source development model in 2009, with 10gen offering commercial support and other services. Since then, MongoDB has been adopted as backend software by a number of major websites and services, including Craigslist, eBay, Foursquare, Source Forge, and The New York Times,
such as web 2.0 sites[20], the growing number of internet users, as well as the
In order to overcome these limitations, a new database model known as Not Only SQL (NoSQL) database emerged with a set of new features. The main objective of NoSQL is not to discard SQL, but to be used as an alternative database data model for new features [1] [2] [3]. NoSQL database increases the performance of relational databases by a set of new characteristics and advantages. In contrast to relational databases, NoSQL databases introduced an additional feature that provides flexible and horizontal scalability and taking advantage of new clusters. The rise of NoSQL provides cost-effective management of data in modern web applications. With its new features, NoSQL can be used with applications that have a large transaction, and require low-latency access to huge datasets, service availability while
Though non-relational databases have been around since the 1960s, many companies have used relational databases to store data[2] but over the past decade with companies generating vast amounts of data, relational databases are unable to effectively manage these large data collections[1]. An ever increasing amount of companies is now, however, turning to non-relational databases known as NoSQL databases as they are more effective at handling these large amounts of data thus the reason we have seen an increase in its popularity over the past decade[2]. The term NoSQL database which stands for Not Only SQL[3] is defined as a database that
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)
The purpose of this report will be to understand what a NoSQL (Not Only SQL) database and document database is, specifically MongoDB while looking at the document database.
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
The company was founded by Reid Hoffman and founding team members from PayPal and Socialnet.com (Allen Blue, Eric Ly, Jean-Luc Vaillant, Lee Hower, Konstantin Guericke, Stephen Beitzel, David Eves, Ian McNish, Yan Pujante, Chris Saccheri). In late 2003, Sequoia Capital led the Series A investment in the company. In June 2008, Sequoia Capital, Greylock Partners, and other
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.
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
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.
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:
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
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.
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,