What A Nosql ( Not Only Sql ) Database And Document Database Essay

Provide reasoning to support the use of the NoSQL database as the database of choice to solve the problem faced by TWC. Identify one strength and one weakness for each of the other three kinds of databases to solve the problem for TWC.

For the purpose of this paper, we are going to focus on these three type of NoSQL database BigTable, Cassandra, DynamoDB.

Over many ago relational databases reside most of the data but after the introduction of NoSQL database had changed this procedure. Most of the unstructured data had been sent to NoSQL database. Relational database systems, which showed good performance before the birth of internet and cloud computing era is now unable to control the heat of new technologies. To stabilize this situation new requirements were set to design by RDBMS. To meet these challenges they need highly scalable and unstructured data model with high performance; so they choose NoSQL database (Muhammad Mughees, 2013).

NoSQL is the generalized term to describe a relational database that uses no form of SQL language querying and consists of several data models to define it. My topic of this research paper is the Document Store data model. I will be covering the introduction of the model and its mechanics, how and when the model emerged, its strengths and weaknesses, and it’s real world applications.

In Nowadays, there are two major of database management systems which are use 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 schemas, JOIN operations and handling the scalability problems. In this paper we will review one of the graph database (Neo4j), which the graph database is part of the emerging technology that is called NoSQL and compared it with one of the traditional relational database (MySQL). MySQL, it is being another name for Relational Databases and it has been used for a long period time until now. However, with the emergence of Big Data there was clearly a need for more flexible databases. Facebook 's Graph Search using Neo4j, a graph database, is an application which clearly displays how relationships need to be modeled in a more efficient and sophisticated manner than using conventional relational models. In this paper, we will make a compare between MySQL and Neo4j based on the features like ACID, replication, availability and the language that is used in both of

NOSQL is an emerging class of non-relational database, used to handle Big Data, it stands for Not Only SQL which solve the problem of processing unstructured data, considering that this non-relational database does not use a schema, and does not relay on the table/key model used in RDBMSs (Relational DataBase Management System).

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

NoSQL databases, including MongoDB, Redis Labs, Cassandra, and the graph database, Neo4J, have also emerged. Some of these tools run the entire database

For the challenges we are facing be it technical or functional we find a NoSql data base as a best fit. We found out that NoSql incorporates a wide mixed bag of various database technologies and were produced in response to the rising data needs. Also when in comparison to the RDBMS present in the market NoSql provides an enriched performance and better scalability solutions. So in search of the best fit as our solution we searched out various types of NoSql database types and found out about Document databases, Graph databases, Key value stores and other similar types. Let’s explore various market players in each of the type and find the best one.

There is a lot of buzz around Big Data and the NOSQL movement these days and rightly so. The issues with data have essentially been two-fold: find cost effective ways to store ever increasing amounts of data and information, and find ways to mine this information to extract meaningful Business Intelligence.

MongoDB, IBM Cloudant, RethinkDB, Elasticsearch , CouchDB, ArangoDB, OrientDB, Couchbase Server, SequoiaDB, Clusterpoint Server, JSON ODM, NeDB, Terrastore, RavenDB, AmisaDB, JasDB, RaptorDB, Djondb, densodb, SisoDB, SDB, NoSQL embedded db, ThruDB, iBoxDB, BergDB, MarkLogic Server, EJDB (Mohamed et al., 2014; Okman et al., 2011).

With the expansion of the internet, there has been an exponential growth in the data being collected from various social media, searching patterns and online transactions. This rapid growth of data has become difficult to be handled by relational database, thus they have been replaced with NoSql databases. The NoSql databases are distributed databases that have the ability to store and process large volumes of data.

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.

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

.In this paper we will examine the key features of the database management system MongoDB. Day-to-day information is growing in gigantic amount. Generated information include predominant information and it will have to be analyzed for gathering essential expertise. On the whole, relational databases are used so as to system the data. These, ways works successfully for small amount of knowledge. What if the data is very tremendous? To avoid this problems Mongo databases are introduced. MongoDB is a cross-platform document-oriented database. Classified as a NoSQL databases. NoSQL meets the requirements of the large-scale distributed computing environment, which provides scalability, high availability, high performance and reliability. NoSQL databases are increasingly used in big data and real-time web applications. Using NoSQL provides the benefit of storing data in schema less structure. NoSQL is not a brand new database technology; yet, it provides the possibility and flexibility of handling complex semi-structured data and optimizes solutions to different types of data in this massive and data-intensive era of large-scale computing.