Tuesday, 6 September 2016

traditional DBMS vs DFS

Traditional DBMS&RDBMS:


DBMS RDBMS
1) DBMS applications store data as file. RDBMS applications store data in a tabular form.
2) In DBMS, data is generally stored in either a hierarchical form or a navigational form. In RDBMS, the tables have an identifier called primary key and the data values are stored in the form of tables.
3) Normalization is not present in DBMS. Normalization is present in RDBMS.
4) DBMS does not apply any security with regards to data manipulation. RDBMS defines the integrity constraint for the purpose of ACID (Atomocity, Consistency, Isolation and Durability) property.
5) DBMS uses file system to store data, so there will be no relation between the tables. in RDBMS, data values are stored in the form of tables, so a relationship between these data values will be stored in the form of a table as well.
6) DBMS has to provide some uniform methods to access the stored information. RDBMS system supports a tabular structure of the data and a relationship between them to access the stored information.
7) DBMS does not support distributed database. RDBMS supports distributed database.
8) DBMS is meant to be for small organization and deal with small data. it supports single user. RDBMS is designed to handle large amount of data. it supports multiple users.
9) Examples of DBMS are file systems, xml etc. Example of RDBMS are mysql, postgre, sql server, oracle etc.


RDBMS vs HADOOP:


Hadoop                                              RDBMS
Scale out                                             Scale Up
Key-Value Pair                                   Record
MapReduce (Functional Style)         SQL (Declarative)
De-normalized                                    Normalized
All varieties of Data                            Structured Data
OLAP/Batch/Analytical Queries       OLTP/Real time/ Point Queries

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