RDBMS Vs Hadoop

Parameters	RDBMS	Hadoop
Definition	RDBMS is a Relational Database Management System in which data is stored in the form of tables consisting of rows and columns.	Hadoop is an open source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.
Use	It is used for OLTP (Online Transaction Processing).	It is used for analytical and especially for big data processing.
Size of Data	It can handle data upto gigabytes.	It can handle Petabytes and even more large data sets.
Data Structure	It can work only with structured data.	It can work with all structured, semi structured and unstructured data.
Manufactures	Sql Server, MySQL, Oracle etc.	Hadoop implementations by Cloudera, Intel and Amazon.
File system	It rely on OS file system.	It is based on distributed file system - HDFS.
Integrity	High. It has ACID properties.	Low.
Data Schema	Static	Dynamic
Access Method	Batch	Interactive and batch
Scaling	Non linear	Linear
Normalization of Data	Required	Not required
Query Response Time	Can be near immediate.	Has latency.