Coexistence, Trends and Comparative Study between Traditional Relational Database Management System and Big Data
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 2
Abstract
Traditional RDBMS rise from 20th century and nowadays we find the buzz word Big Data. As per the google trends, in 2011 the word big data has cross the popularity line of RDBMS worldwide. Even many international companies started their investment and work in big data. It doesn’t mean that RDBMS is going to die, still many companies are bit comfortable with RDBMS. Not only transaction dispensation, but for altogether much attentive index concerned with query on that type of data. Big data and Hadoop is an alternative kind of environment for different types of analysis and diverse kind of data and two of them are coexists. As per the trends big data is buzzword nowadays. People are choosing big data over RDBMS if they want to store structured as well as unstructured data and if they are preferring open-source as well as with faster speed. There are lot of difference between RDBMS and big data like variety, architecture, throughput, Scalability, Latency response time, cost, data processing etc. In Traditional RDBMS environment, all the enterprise’s data is stored in central server whereas in big data environment data resides in distributed file system. Distributed File System scale by scaling in or out horizontally as compared to typical database server that scales vertically. In this research paper we studied big data and relational database management system and finds the trends, co-existence and comparison between both. It is not about rip and replace. It will not be possible to get rid of RDBMS or massively parallel processing, but instead use the right tool for right job.
Authors and Affiliations
Parag C. Shukla, Dr. Bankim L. Radadiya
Keywords
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