Question

Discuss whether BigData can make RDBMS extinct

Answer 1

Hadoop is a distributed file system which is used to process and store large data sets across the computer clusters it is not a database whereas RDMS (Relational Database Management System) is a database which is used to store data in the form of tables comprising of several rows and columns. Big data and hadoop neither one has the capability of eclipsing the other both have to coexist indefinitely. A relational database delivers precise answer whereas big data delivers approximate answer in a shorter period of time. For transactional systems Big data cannot replace RDBMS (Relational database Management System) . Consisency and accuracy is the place where Big data cannot replace RDBMS, Traditional RDBMS manages structured and semi-structured data so the result is accurate and precise whereas big data has the ability to process and store all variety of data whether structured, semi-structured or unstructured, although it is mostly used to process large amount of unstructured data which yields approximate result. RDBMS is centralized, it provides limited access and hence reduces data variances ensuring it's consistency this is where big data cannot beat RDBMS. For important data RDBMS has no substitute. The two technologies has proven to be complementary not exclusive.So, where velocity and variety of data is making the big data attractive, traditional RDBMS is going to stick around for a big longer.