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HADOOP - What is the difference between a Hadoop database and Relational Database?

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asked mar September 14, 2013 01:51 PM  

What is the difference between a Hadoop database and Relational Database?


           

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  RDBMS compared to MapReduce   Traditional RDBMS MapReduce Data Size GigaBytes PetaBytes Access Interactive and Batch Batch Updates Read and Write many times Write Once, read many times Structure Static schema Dyamic schema Integrity High Low Scaling NonLinear Linear
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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 works on structured data unlike hadoop works on Unstructured data. RDBMS stores the data in the from of rows and columns where as it stores the data in the form of DFS.  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
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I think we can not compare these two as both stands far way. Hadoop is not a database, It is a framework that supports data parallelism. As it is parallel processing system it can process petabytes of data with in less time which can not be achieved by your traditional processing mechnism. Hadoop has not designed for data storage rather for data processing. Hadoop it self can store any data without HDFS support. HDFS is a distibuted file system that accepts data from Hadoop and give it back to Hadoop based on its need.

Relational data base is purely a storage mechanism. It can not process any data rather stores it for longer period.

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First thing first, Hadoop is not a database rather is a framework which is consist of HDFS (Hadoop distributed file system) File system and Map-Reduce (Used for processing)
Hadoop deals with structured and as well as unstructured data but rdbms deals with structured data.
hadoop has technique write once and read many times but rdbms can read and write many times.
hadoop can processs petabytes of data but rdbms deals with giga bytes of data
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answered By mar   0  
Hadoop  uses the nosql(Hbase) 

SQL vs NoSQL: Battle of the Backends

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Hadoop is not a database, it is an architecture with a filesystem called HDFS. The data is stored in HDFS which does not have any predefined containers. 

Relational database stores data in predefined containers. 
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  1. Structured data is data that is organized into entities that have a defined format, such as XML documents or database tables that conform to a particular predefined schema. This is the realm of the RDBMS. but, map reduce works with semi structured data (spread sheet), structured data (image files, plain text) because the input keys and values for MapReduce are not an intrinsic property of the data, but they are chosen by the person analyzing the data.

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answered By hadooptrainings   0  
Check the below video also




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answered By shriparv   0  
First thing first, Hadoop is not a database rather is a framework which is consist of HDFS (Hadoop distributed file system) File system and Map-Reduce (Used for processing).


and if i am able to understand meaning of your question the i will tell that relatioinal database and hadoop i entirly different things,

for more clearity just search "difference between no sql database and relational database" i leave this to you...
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