Name: Apache Pig
Rating: 8 (24 reviews)
Author: Apache

Overview

Recent Reviews

A great ETL tool for your big data

9 out of 10

May 23, 2022

We are working on a large data analytics project where we have to work on big data, large datasets, and databases. We have used Apache Pig …

"Apache Pig Is A Fantastic High-level Scripting Language To Operate With Big Data Sets."

8 out of 10

April 09, 2022

Apache Pig is called Pig Latin—that it provides a high-level scripting language to perform data analysis, code generation, and …

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 …

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 …

Useful ETL scripting tool

8 out of 10

March 20, 2020

Pig is used by data engineers as a stopgap between setting up a Spark environment and having more declarative flexibility than HiveQL …

Apache pig - the easier to implement map reducer

8 out of 10

October 08, 2018

Apache Pig is being used as a map-reduce platform. It is used to handle transportation problems and use large volume of data. It can …

My Apache Pig Review

7 out of 10

June 22, 2018

As a requirement of a distributed processing system, we are using Apache Pig within our Information Technology department. I use it to an …

Apache Pig - Is it the tool for the job? Maybe, but probably not.

7 out of 10

January 18, 2018

Apache Pig is one of the distributed processing technologies we are using within the engineering department as a whole and we are …

Apache Pig - a good toolkit to have in your hadoop ETL toolbox

8 out of 10

July 21, 2016

Yes, it is used by our data science and data engineering orgs. It is being used to build big data workflows (pipelines) for ETL and …

Reviewer Pros & Cons

View all pros & cons

Apache Pig is built using the data flows, users can easily see all the processes and information.
Apache Pig is designed for ETL and thus not perfectly suited for real-time analysis.

Verified User

Program Manager in Information Technology

Information Technology & Services Company, 201-500 employees

It's adequate for map-reducing large datasets and fully abstracted MapReduce.
Pig's error debugging consumes most of its development time because it can be unstable and immature.

Sourov K Chowdhury

Database Software Engineer

Best Web Design Ltd. (Information Technology & Services, 11-50 employees)

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