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Corral vs Pig

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Corral
0
4
+ 1
0
Pig
59
111
+ 1
5
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Corral vs Pig: What are the differences?

What is Corral? A serverless MapReduce framework written for AWS Lambda. Corral is a MapReduce framework designed to be deployed to serverless platforms, like AWS Lambda. It presents a lightweight alternative to Hadoop MapReduce.

What is Pig? Platform for analyzing large data sets. Pig is a dataflow programming environment for processing very large files. Pig's language is called Pig Latin. A Pig Latin program consists of a directed acyclic graph where each node represents an operation that transforms data Operations are of two flavors: (1) relational-algebra style operations such as join, filter, project; (2) functional-programming style operators such as map, reduce. .

Corral and Pig belong to "Big Data Tools" category of the tech stack.

Corral and Pig are both open source tools. It seems that Corral with 611 GitHub stars and 16 forks on GitHub has more adoption than Pig with 583 GitHub stars and 449 GitHub forks.

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Pros of Corral
Pros of Pig
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    • 2
      Finer-grained control on parallelization
    • 1
      Proven at Petabyte scale
    • 1
      Open-source
    • 1
      Join optimizations for highly skewed data

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    What is Corral?

    Corral is a MapReduce framework designed to be deployed to serverless platforms, like AWS Lambda. It presents a lightweight alternative to Hadoop MapReduce.

    What is Pig?

    Pig is a dataflow programming environment for processing very large files. Pig's language is called Pig Latin. A Pig Latin program consists of a directed acyclic graph where each node represents an operation that transforms data. Operations are of two flavors: (1) relational-algebra style operations such as join, filter, project; (2) functional-programming style operators such as map, reduce.

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    What companies use Corral?
    What companies use Pig?
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      What tools integrate with Corral?
      What tools integrate with Pig?
      What are some alternatives to Corral and Pig?
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