Apache Pig

Apache Pig

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Score 8.0 out of 100
Apache Pig

Overview

Recent Reviews

Apache Pig

7 out of 10
April 07, 2022
We mainly use Apache Pig for its capabilities that allows us to easily create data pipelines. Also it comes with its native language Pig …
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Apache Pig - lot to improve

7 out of 10
April 28, 2021
Apache Pig and its query language (Pig Latin) allowed us to create data pipelines with ease and heavily used by our teams. The language …
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What is Apache Pig?

Apache Pig is a programming tool for creating MapReduce programs used in Hadoop.

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Product Details

What is Apache Pig?

Apache Pig is a programming tool for creating MapReduce programs used in Hadoop.

Apache Pig Technical Details

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Reviews and Ratings

 (24)

Ratings

Reviews

(1-9 of 9)
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Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Apache Pig is best known for its fast execution of data processing (+ROI).
  • Scaled up large parallel processing on data.
  • It helps in saving our time in data processing (+ROI).
  • Large community base for quick resolutions (+ROI).
  • Compatibility with other 3rd parties applications and tools (-ROI).
Sourov K Chowdhury | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Apache Pig's scripting language is template-friendly.
  • A lightweight framework, Apache Pig, is easy to learn and deploy.
  • It converts MapReduce tasks into SQL-like queries, useful for data analysis.
  • It reduces the amount of data and performs a few simple mathematical operations on the data.
  • Combining data is a huge advantage.
Kartik Chavan | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Return on Investments are significant considering what it can do with traditional analysis techniques. But, other alternatives like Apache Spark, Hive being more efficient, it is hard to stick to Apache Pig.
  • It can handle large datasets pretty easily compared to SQL. But, again, alternatives are more efficient.
  • While working on unstructured, decentralized dataset, Pig is highly beneficial, as it is not a complete deviation from SQL, but it does not take you in complexity MapReduce as well.
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Higher learning curve than other similar technologies so on-boarding new engineers or change ownership of Apache Pig code tends to be a bit of a headache
  • Once the language is learned and understood it can be relatively straightforward to write simple Pig scripts so development can go relatively quickly with a skilled team
  • As distributed technologies grow and improve, overall Apache Pig feels left in the dust and is more legacy code to support than something to actively develop with.