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Seven main difference between Hadoop and Teradata?
Question Posted on 23 Sep 2021

Home >> BigData >> Hadoop >> Seven main difference between Hadoop and Teradata?




Seven main difference between Hadoop and Teradata?
Below are the most common 7 differences between Hadoop and Teradata.
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Base of DifferenceHadoopTeradata
UsesHadoop is one of the software programming framework where we can store a large amount of data and perform the computation.On the other hand Teradata is one of RDBMS which we used to manage large data warehousing operations.
BasedHadoop framework is based on Java programming which is something similar to C and the Shell scriptsOn the other hand Teradata hasve features to accept number of request from mulitple client and there applications.
ArchitectureHadoop is basically based on "Master Slave" architecture.Teradata is based on MPP(Massively Parallel Processing) system.
TechnologyHadoop is one of the Big Data technology.Teradata is a fully scalable relational database warehouse implemented in single RDBMS.
ComponentsHadoop architecture is based on 3 sub main components (i)HDFS (ii)MapReduce (iii)YARNTeradata also have some components (1)Parsing Engine (2)BYNET (3)AMPs
Type of dataHadoop is used to store and process diverse data typesWe used Teradata to store and process large amount of structured tabular format data.
CommercialHadoop is a open source software frameworkTeradata runs world largest commercial databases.


 
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