Exploring Flexibility of NoSQL Databases in Big Data Environment

In current century data are releasing in huge amount if we will see the global trend in the area of social networking, manufacturing, marketing, healthcare, agriculture etc. data are created in huge amount. So if we are focusing on the traditional databases then they are not very much good at handling this huge amount of data in terms of volume, velocity, variety etc. This paper tries to filter out the problems in traditional databases and makes a comparison with NoSQL database. Big data is a term applied to a huge unit of heterogeneous data, including a typical form that are rapidly increasing in size using existing tools and approaches to process, analyze, or display. Big data is also the term that summarizes the processes, tools, and techniques used to learn from this data using tools like NoSQL. Now a day as compare to structured data, semi-structured and unstructured data are released in more amounts. In order to manage all types of data with a good efficiency, speed and storage we will focus on the new and advanced featured databases like NoSQL. We have explored four major types of NoSQL databases based on which industries are focusing for application development mostly. So now the demand of NoSQL is in peak because of involvement of big data concept in NoSQL to increase performance, scalability and flexibility. This paper is a fruitful research work based on the detailed comparison between traditional databases and NoSQL database along with their features, scopes and uses.