Traditional
RDBMS is used for transactional systems to report and archive the data, whereas
Hadoop is an approach to store huge amount of data in the distributed file
system and process it. RDBMS will be useful when you want to seek one record
from Big data, whereas, Hadoop will be useful when you want Big data in one
shot and perform analysis on that later.