269 [Awasthi, 5(7): July 2018] ISSN 2348 – 8034 DOI: 10.5281/zenodo.1313633 Impact Factor- 4.022 GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES A SURVEY ON NOSQL AND NEWSQL DATA STORES FOR BIG DATA MANAGEMENT Esha Awasthi 1 , Shikha Agrawal 2 & Rajeev Pandey 3 1,2&3 Department of Computer Science and Engineering, UIT- RGPV, Bhopal-402033, India ABSTRACT In this era of technologies, where due to the advancement in several web technologies and frequent growth of portable devices, and sensors linked over the web are resulting to the huge amount of data. Due to this rapid increase of well-structured, semi-structured and other types of unstructured data called Big Data, traditional database systems are facing several difficulties.Since forty years, traditional databases are the leading model for several data manipulation tasks such as data storing, data retrieving and managing the data. However, because of growing requirements for better scalability and higher performance, other alternative database technologies, namely NOSQL andNewSQL technology have emerged. In order to overcome the challenges faced by traditional database system, there are numerous NOSQL and NEWSQL databases in the industry. It becomes challenging to select appropriate database solution for Big Data Management. This research work will present the comparative analysis and performance evaluation of most popular NOSQL and NEWSQL databases on the basis of several criteria. In this survey paper, there are mainly five sections: first section comprises of basic introduction and background of research in this field. In further sections, there is a brief introduction about adopting nosql and newsql technologies. Finally, there is a literature survey and survey report of this field. Keywords: NoSQL, NewSQL, ACID, BASE, CAP, Big Data, Database, RDBMS. I. INTRODUCTION In today’s world, the data is increasing tremendously with the number of users over the internet. The advancement in most of the Web Technologies and rapid increase of portable devices connected over the network are resulting to the production of large amount of data sets that needs to be organised and processed. For instance, there are numerous of web sites such as Facebook where 2.4 billion of data[1], either structured or unstructured are shared among friends on a daily basis. Presently, around 2 billion populations across the globe are connected to the (Web) internet, and around 5 billion peoples were having mobile phones, also by 2020, around 50 billion devices are expected to be connected over the Internet[2].Also, today’s business has been generating huge volume of data that is too huge to be handled and processed by RDMS tools. 1.1 Big data It is considered as voluminous amount of data, either it is well-structured or it is not in a structured form. Big Data is defined by mainly three concepts which are: variety, velocity and volume[3]. Further, veracity and volume has been come into consideration[3]. Further, veracity and volume has been come into consideration[3]. It is huge amount of data set which is very complex to handle with relational database system. Even though traditional database system have several advantages over file approach such as simplicity, flexibility, security, robustness and consistency, but this approach is facing several difficulties regarding several issues like scalability issue and performance requisites of Big Data. The requirement for Big Data generated from the industries such as Facebook, Google, yahoo, amazon, YouTube etc. The datasets that are generated differ from structured data. There are several features of Big Data: 1. Data is distributed at different locations 2. It is very much complicated in nature, thus difficult to manage 3. The data is dynamic in nature i.e., it keeps on changing 4. It is very large in volume, variety and velocity In order to handle this data, cloud computing technology has been come into consideration. (C)Global Journal Of Engineering Science And Researches