NoSQL Systems for Big Data Management (original) (raw)

NoSQL : A New Horizon in Big Data

This Big data is useful for data sets where their size or type is away from the capability of traditional relational databases for capturing, managing and processing the data with low-latency. Relational databases were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the commodity storage and processing power available today. NoSQL encompasses a wide variety of different database technologies that were developed in response to the demands presented in building modern applications. In this paper collection of NoSQL database tools are illustrated and also compared with the salient features.

A review on NoSQL: Applications and challenges

International Journal of Advanced Research in Computer Science, 2017

Now a day the technology is growing rapidly stimulating and generating whopping amount of data. Every day people and companies generate huge amounts of data and this data may be unstructured, semi-structured and structured. That’s why we need to design databases which can store this type of data in huge volumes. The name of this database is NoSQL databases. NoSQL database solves this type of problems. NoSQL database is being used widely and it is a commonly known as engines well scale. Therefore, it is useful to investigate how different factors, such as workload, data size and number of simultaneous sessions influence scaling capabilities. In this paper we describe the brief introduction of NoSQL and its categories and also what the benefits of NoSQL are and why we are using now. Keywords: NoSQL, Graph DB, Key value DB, Column DB, Document DB

STUDY OF VARIOUS NoSQL DATABASES

2016

A relational database is a table-based system where there's no scalability, lowest data duplication, computationally overpriced table joins and issue in addressing complicated data. The matter with relations in relationaldatabase is that advancedoperations with massive data sets quickly become prohibitively resource intense. Relational databases don't lend themselves well to the type of horizontal scalability that is needed for large scale social networking or cloud applications. NoSQL has emerged as a results of the demand for relational database alternatives. The most important motivation behind NoSQL is scalability. NoSQL is supposed for the present growing breed of netapplications that require to scale effectively. This paper analyzes the NoSQL databases that is the demand of the present large-scale social networking or cloud applications. We tend toadditionally analyze the capabilities of assorted NoSQL models like BigTable, Cassandra, CouchDB, MongoDB and Couchbase. Ke...

Do NoSQL Databases Cope with Current Data Challenges

Data is growing very rapidly and becoming more complex in variety, velocity and volume. The notion of big data is associated with opportunities as well as challenges for existing computing techniques. Traditional data management tools and techniques are typically designed for structured data management and not sufficiently process and analyze large data volumes. NoSQL provides set of storage alternatives with the various characteristics that are intended to manage and process big data. There are different types of NoSQL stores such as Key-Value, Document-Oriented, Column-Oriented and Graph-Oriented. It is necessary to set an evaluation criteria for these databases. This work presents an evaluation criteria for existing NoSQL stores cope with the current data challenges.

Comparative Study of the New Generation, Agile, Scalable, High Performance NOSQL Databases

Relational database is widely used in most of the application to store and retrieve data. They work best when they handle a limited set of data. Handling real time huge volume of data like internet was inefficient in relation database systems. To overcome this problem the "NO-SQL" or "Not Only SQL" Database came into existence. This paper discusses about problems with relation databases and how different types of NOSQL Databases are used to efficiently handle the real world problems.

A Technical Insight on the New Generation Databases: NoSQL

International Journal of Computer Applications, 2015

The rapid acceptance of social networking sites like Facebook, Twitter etc and with the huge use of mobile phones, the data volume is increasing at the rate of terabytes. As the data size and variety is increasing dramatically, databases intend to be more schema-less and less strict, in order to achieve higher scalability. Their queries tend to be quick responding, which grants them very fast writes and even faster reads. All these could not be managed with our Relational Databases or SQL. The ease of scalability and improved security has increased the popularity of Not-Only SQL. But they are not as reliable or effective as Relational Databases. Here, in this paper, an extensive study of the pros and cons of SQL and NoSQL, their relevance in cloud and at last, an evaluation of some NoSQL databases is also done. General Terms NoSQL databases, Cloud and Big data.