Data Storage Model Nosql Databases Essay

Abstract- This research documents a comprehensive evaluation of the emerging graph databases along with a benchmark study to compare it to the existing relational model. With the ease of the graphical representation brought in with Neo4j, we saw the opportunity to attempt getting details about the various attributes in the dataset and analyze this data to present a statistical view along with its popular counterpart, MySQL. The ultimate goal of this study is to determine whether a traditional relational database system like MySQL, can be replaced completely in production, by a graph database, such as Neo4j.

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

Graph database: Strength: designed for data whose relations are well represented as a graph and has elements which are interconnected. Graph databases are well-suited to irregular and complex structures. Weakness: Relationships are stored at the individual record level and uses more

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

It has become hard to scale relational databases in the direction and to the degree needed to manage big data in a successful and less expensive way. Instead, a new system, known as “NoSQL” or “Not Only SQL”, has been created that makes the processing of terabytes and even petabytes of data possible (Paghy, “RDBMS to NoSQL”).

Relational database management system (RDBMS) have used for many decades. However, these databases are facing several challenges with the requirements of many organizations like high scalability and availability. They cannot deal with huge amount of data and requests efficiently. As a result, famous organizations such as Google and Amazon shift from RDBMS to NoSQL databases. NoSQL databases have several features that overcome issues. This paper explains features, principles, and data models of NoSQL databases. However, the main focus of this paper is to compare and evaluate two of the most popular NoSQL databases which are MongoDB and Cassandra.

Some of the challenges faced by relational databases were the mismatch that resulted when transforming graphs into tables. On the other hand, when a database was needed only for simples tasks like logging, the relational database had too much more than what was required. Web applications have many different types of attributes which does not fit easily into a relational database, which makes it a burden to handle. For example, videos, text and source code are different types of attributes from the web, which have to be stored in various tables if relational databases are used, because of its strict schema. Qualities like these, make RDBMS, a not-so-wise choice to handle blogs and other web applications. The massive data that has to be taken care of in web applications complicates data handling for famous webpages like Amazon, Google and Facebook. Factors like trillions and trillions of read and write requests which needs to be responded with minimal or no latency, leads these organizations to maintain their own hardware in clusters of thousands. The “One solution for all” is

Challenges: As Marcos explained: “A relational database wasn’t satisfying our requirements about performance and simplicity, due the complexity of our queries.” To address this, Marcos’ team decided to use Neo4j, a graph database, for which category Neo4j is the market leader.

NoSQL DB did not appears until the early twenty-first century, triggered by the needs of web 2.0 companies such as facebook google and amazon.com. NoSQL database are increasingly used in big data and read-time web applications. NoSQL systems are also sometimes called “not only SQL” to emphasize that they may support SQL-like query languages.

Kind of database model which is designed in a hierarchy completely access to data beginning at the highest of hierarchical then changes to down such as customer to order.

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)

Answer: NoSQL DB is document based DB and represented in collection without solid structure key-value pairs, documents, graph Db or wide-column stores and has not predefine schema, use Dynamic schema. NoSQL DB is horizontally scalable that will increase amount of DB servers in the pool of

SQL has dominated databases for a considerable length of time. The shared database show began to ascend in the 1970s and promptly grabbed balance. Its usage been in existence for forty years and sometime later, SQL is so far, the most used sort of database. As shown by db-engines.com, the four of the leading five most prominent databases are social; the main NoSQL database to get through the best five is MongoDB, which has overwhelmed PostgreSQL's fourth-place. A part of the best locales out there uses SQL to inquiry their information, including Facebook and Airbnb. NoSQL will be around in the future because it reflects the ability to give significant functionality, and performance benefits for a

In comparison to relational databases, NoSQL databases are better at providing superb performance while handling data of large scale and variable structures

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