A Report On Relational Databases

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

The wider insight about relational and non-relational database performance, particularly MySQL and Hadoop was gathered through the literature survey. By read textbooks, reviewing academic journals and research papers, I founded a gap in the performance of relational database compare to the non-relational.

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.

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

NoSQL is best known for typically being “non-relational”, meaning that it can store and link data without any structured restrictions (Paghy, “RDBMS to NoSQL”). This gives NoSQL databases the ability to do so much more than a simple relational database could. It makes them scalable

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

Relational databases are the most prevalent in today’s database needs for numerous different applications. These databases go by specific rules and adding in a lot of different attributes involves complexity to the system. Especially in the web applications, it gets harder for the relational databases to handle the capacities and possibilities. The web domain thus, becomes the main motivator for NoSQL.

Some people believe that the answer to challenges posed by big data lie in a relatively new group of non-relational data storage and management products known collectively as NoSQL. However, NoSQL system development is different from traditional data warehouse development in that it is application driven. This has led some pundits to postulate that NoSQL represents a new paradigm in data warehouse design, where highly specialized data silos will replace the traditionally integrated data warehouse. Therefore it is reasonable to ask, should NoSQL be used to build big data warehouses? If yes, then should integration be discarded in favor of autonomous, application driven data silos?

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.

Apache Cassandra is open source NoSQL database and it was found in Facebook. Cassandra 's data model offers the convenience of column indexes with the performance of log-structured updates. It provides horizontal scalability and the downtime is lesser compared to

A lot of speculations have been raised on whether modern NoSQL database is vulnerable to NoSQL attacks or not. The aim of the paper was to research on this issue and after thorough, the paper identified that modern NoSQL database is vulnerable to NoSQL attacks. The problem in the research paper was to identify how modern NoSQL database is vulnerable to NoSQL attacks. Use of JSON to inject NoSQL attacks, lack of admin authorization use of clear text and use of PHP applications to inject NoSQL attacks on the database are some of the reasons that were identified to cause the big problem of NoSQL attacks in the modern NoSQL database. However, solutions to the above problems were identified in the research. Some of these solutions include use of encrypted texts, use admin passwords, input validation and Bind the NoSQL process to only a single interface/IP among others.

For example, Facebook which is the most popular social networking website recently announced their adoption of a NoSQL based graph data store for efficient storage of user data. In other words, NoSQL has already made its way into the enterprise. However, just like every other widely accepted technology, NoSQL has its own set of advantages and disadvantages. It is important for an enterprise to quantify the pros and cons of a particularly new database technology against the already existing solutions based on their custom requirements. For example, legacy enterprise applications may require extensive community support from their database vendors. Moreover, traditional relational database vendors such as Oracle have already established themselves for providing excellent support. On the other hand, NoSQL has been rapidly growing since the past few years and is consistently evolving in terms of big data handling, data warehousing and lesser complexity. Hence, there is a need to study the current market of data stores based on the most popular NoSQL data stores and how well they fair against the widely accepted traditional database systems. This requires a study of the commonly used NoSQL data stores.

It is always better to choose a NoSQL databases based on the business requirement rather than use a polished technology, which would bring out the best results. Some questions that traditional database projects answer are why, when and where relating to the business. Who is responsible and what value does it bring in

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

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.