• Shikha Sangal
• Anita Ganpati

Abstract: Now-a-days companies are starting to realize the importance of using more data in order to support decision for their strategies. Big Data refers to penta-bytes or exabytes of data. Big Data describes a holistic information management strategy that includes and integrates many data types of data and data management alongside traditional data. Big data is a phrase that defines the large volume of data both structured and unstructured that it is so hard to process using traditional database system performance and software techniques. In the present scenario the big databases have become prominently important because it have facility to generate large amount of data for social media daily analysis and multimedia, etc. big data is an enormous area to be researched. The main objective of this research study, is to evaluate performance of document-oriented Big Data Databases namely CouchDB, Couchbase and MongoDB using YCSB; in term of average runtime and throughput with increasing of number of records and operations. Each database has its own specific use and no one fit for the requirements. The research methodology describes the tool used to compare the document-oriented databases on various features. Most of NoSQL database provide high scalability and high availability at cost compromise consistency.

Keywords: CouchDB, Couchbase and MongoDB, Big Data.

"A COMPARATIVE ANALYSIS OF DOCUMENT-ORIENTED BIG DATA DATABASES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.2130-2133, March-2021, Available :http://www.jetir.org/papers/JETIR2103264.pdf

"A COMPARATIVE ANALYSIS OF DOCUMENT-ORIENTED BIG DATA DATABASES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp2130-2133, March-2021, Available at : http://www.jetir.org/papers/JETIR2103264.pdf