Efficient Query Analysis and Performance Evaluation of the Nosql Data Store for BigData

The voluminous amounts of data generated from the web applications and social networking and online auction sites are highly unstructured in nature. To store and analyze such data, traditional ways of using relational databases are not suitable. This yields path towards the acceptance of emerging nosql databases as an efficient means to deal with bigdata. This work presents an efficient nosql data store and proves its effectiveness by analyzing the results in terms of efficient querying by evaluating the performance estimation on read and write operations on simple and complex queries, also for storage and retrieval of increasing number of records. The results presented depict that the chosen nosql datastore-Cassansdra is efficient over the relational database-mysql and the other nosql databases-HBase and MongoDB, that leads to achieving cost saving benefits to any organization willing to use Nosql-Cassandra for managing Bigdata for heavy loads.