Difference Between Hadoop and Teradata

Difference between Teradata and Pig

Last Updated : 27 Jul, 2020

1. Teradata : Teradata is an RDBMS that is produced by Teradata Corp. And it is used to manage large data warehousing operations. Teradata Corporation is a provider of database and analytics-related software, products, and services. It accepts the number of requests from multiple client applications. 2. Pig : Pig is used for the analysis of a large amount of data. It is abstract over MapReduce. Pig is used to perform all kinds of data manipulation operations in Hadoop. It provides the Pig-Latin language to write the code that contains many inbuilt functions like join, filter, etc. The two parts of the Apache Pig are Pig-Latin and Pig-Engine. Pig Engine is used to convert all these scripts into a specific map and reduce tasks. Pig abstraction is at a higher level. It contains less line of code as compared to MapReduce.
Difference between Teradata and Pig :

Teradata	Pig
It is developed by Teradata Corp. in 1984.	It was developed by Yahoo.
Teradata is not suitable for complex and nested data structures.	Pig is suitable for complex and nested data structures.
It does not support Avro file format.	It supports Avro file format.
It is used to handle structured and semi-structured data.	It is mainly used to handle structured data.
Famous companies like Cognizant, Capgemini, aws, Cisco, Citibank, etc use Teradata.	Famous companies like Adobe, Amadeus uses Pig.
Teradata makes use of the exact variation of dedicated SQL-DDL language by defining tables beforehand.	Pig does not have a dedicated metadata database.
It supports both Master-Slave Replication and Master-Master Replication.	It supports Master-Slave Replication.
It is used for creating reports.	It is used for programming.
Teradata server operating systems are Linux, hosted.	Pig server operating systems are Linux, OS X, Solaris, Windows.

Difference Between Hadoop and Teradata

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