Investigation Mysql Database And Neo4j Database

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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

A relational database is a group of data which classified into a set of tables that can be accessed in several ways without having to reconstruct the tables’ oftenly.Relational Database was proposed by Edgar Codd around the time 1969 since then it has become very prevalent for commercial applications. In the 20th century there were countless Relational Database System (RDBMS) ,take for instance: IBM.DB2 and Oracle.

NoSQL DBMSs advantages and Comparison to Relational DBMSs The reason why NoSQL has been so popular the last few years is mainly because, when a relational database grows out of one server, it is no longer that easy to use. In other words, they don't scale out very well in a distributed system. All of the big sites that you mentioned Google, Yahoo, Facebook and Amazon (I don't know much about Digg) have lots of data and store the data in distributed systems for several reasons. It could be that the data doesn't fit on one server, or there are requirements for high availability. Here is a table showing comparison and advantages of NoSQL over relational

The rapid growth in the world of technology has influenced the way we communicate, shop, learn, and share information. The development of technology led database analysts and administrators to find more convenient ways to store the big amount of data. Big data is known as expression in the tech-world. It is defined as a huge collection of data that cannot be managed by relational databases (Moniruzzaman and Hossain 1). So, developers start to use non-relational databases (NoSQL) to arrange and store the Big data. In order to understand how developers solve the storing issue of the big amount of data and provide systems that can sync data between multiple devices, we need to start with a brief background of NoSQL databases to understand Couchbase system. The purpose of this paper is to define NoSQL database, compare it with SQL database, define Couchbase and describe how Couchbase is synchronizing data between multiple devices, especially Couchbase Mobile.

NoSQL databases are designed to expand transparently and horizontally to take advantage of new nodes, and designed with low-cost hardware. SQL have problems in Scalability.

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).

Big data are grooming in reality. SQL does not have capacity to handle a very huge amount of data. All applications are now working in view to a vast volume of data. Data is increasing massively in almost all stream of jobs , let it be employee details or health records. So the applications being used to manage these type of data should be modified too. Not only the applications but the databases and warehouses where we store these data have to be modifies too. SQL can store data in different tables and databases but later it is very difficult task to retrieve the same as that will include loads of join operation and very multifaceted transactions. So in this paper we propose to build an application for hospital management and to handle patient health records . Our application uses a NoSQL database(i.e here we use mongodb) for storing and retrieving the data. We are implementing Mongo lab in our application deployment. Each record and its associated data will be stored in a single document thus simplifies the data access. Here, unlike SQL databases, the documents stored are schema free and similar to each other, this is a big advantage of NoSQL and helps in modelling unstructured data. We also use the tokenization concept to ensure security. We convert the user credentials like name, password, phone no, email id etc. into ASCII values and store it in separate mongo db. The patients’ medical history, lab reports, medicine prescription etc. will be stored in a separate Mongo

A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images. In computing, databases are sometimes classified according to their organizational approach. The most prevalent approach is the relational database, a tabular database in which data is defined so that it can be reorganized and accessed in a number of different ways. A distributed database is one that can be dispersed or replicated among different points in a network. An object-oriented programming database is one that is congruent with the data defined in object classes and subclasses.

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.

of its schema-less structure along with its capability of handling BIG Data. In this paper, we talk

This report basically describes the process of design NoSQL systems for data persisence and implementation of design and the solution of tasks that we are required. The dataset we worked with is a music dataset from lastfm and the designs for MongoDB, HBase and Neo4j are based on the dataset features and given queries. The implementation includes creating databases, setting up the schema and running queries, followed by testing the performance. There are also iteration designs for each system in order to gain higher performance.

The traditional RDBMS can only process data which has well-defined structure. To process unstructured data using RDBMS, there should be a new database design implemented and development of new query language with a set of defined protocols. There are many new database design methods being proposed to increase the computational power in traditional RDBMS, which can be used for processing unstructured data.

NoSQL Databases also referred as Not only SQL databases. These NoSQL database have these days gained much attention and reputation because of their performance and high scalability. The advantage of NoSQL database is to store efficiently unstructured data. These days use of e-commerce websites, social networking sites etc. has been increased. These usage made to create the need to store the large data. Some companies have adopted NoSQL databases, as their data is growing. Dynamo, Big table, Voldemort, Cassandra are the NoSQL databases that are used by Amazon, Google, and LinkedIn and Facebook respectively. Facing these huge data has become challenging for Relational Database Management Systems. Hence NoSQL database came into existence. Mostly Relational Database Management System satisfies ACID properties, through NoSQL database we can achieve high level of Scalability and performance. As a lot of sensitive data is stored in NoSQL databases security issues becomes growing concerns.

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 databases (MySQL). MySQL, it is being another name for Relational Databases and it has been used for a long time period until now. However, with the emergence of Big Data there was clearly a need for more flexible databases. Facebook 's Graph Search use 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 comparison between MySQL and Neo4j based on the features like ACID, replication, availability and the language that is used in both of them.