Disadvantages And Disadvantages Of Nosql (Not Only SQL?

Amazon handles millions of customers trying to access various data centers around world. Hence, reliability and

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

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.

The term database can be defined as the collection of systematic, well-ordered and structured data that can be easily and efficiently handled, retrieved and upgraded on a periodic basis depending on its requirements. The structure and organization of any database is based upon its respective database model.

NoSQL was created to remedy the architecture of relational databases, to make the schema more dynamic and ever expanding. With the emergence of cloud computing, unstructured data such as social media posts in need of storage, and Agile development practice, The Document

NoSQL databases are a significant departure from the relational model that has dominated the business world for the past few decades. Standing for “Not Only SQL,” these products are all some variation of a non-relational, key-value pair database, and they are becoming very popular with companies that use Big Data and prioritize speed or availability over consistency of data.

NoSQL databases are databases designed to run on clusters of computers/servers, built for the ever-increasing data storage needs for websites. Devised as a way of scaling databases horizontally which is a challenge with traditional relational databases. Scaling horizontally is the ability to add more computers/servers as nodes to a database. These “clusters” work well with write-heavy systems and allow increase storage and processing power limited only by the number of connections you can have on the network. Defined as No-Schema, No-SQL data structures mean they are not limited to the original data structure. Objects and fields etc can be implemented at

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).

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 its dispatch in 2015 the AWB uses devices like Kinesis, which is for continuous spouting, S3 which is for basic accumulating stage and DynamoDB – it is immense limit with respect to NoSQL database.

Currently, a number of NoSQL Databases are used for different type of portals and these are specialized in handling heterogeneous and unstructured data.

In addition to its flexibility, these databases provides horizontal scalability and distributed computing that led to adoption of NoSQL databases in the firms. The SQL databases uses Structured Query Language whereas NOSQL databases use Unstructured Query Language which varies from database to database.

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

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.

Amazon DynamoDB is NoSQL database, it is famous for its cloud base and speed. It is agility to many data models.