--- title: Apache Pig Reviews meta\_title: 'Apache Pig Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 21 reviews by the users' company size, role or industry to find out how Apache Pig works for a business like yours. aggregate\_rating: rating\_value: 3.9 review\_count: 21 scale: '5' date\_modified: '2026-08-09' parent\_category: name: Big Data url: https://www.g2.com/categories/big-data ---

# Apache Pig Reviews & Product Details

Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.

* * *

Seller
[The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
Discussions
[Apache Pig Community](https://www.g2.com/products/apache-pig/discuss)

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## User Insights

Average based on 21 real user reviews.

[Log in to unlock pricing and user insights](/login)

 ![Verified User in Research](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Research")
UR

Verified User in Research

Small-Business (50 or fewer emp.)

3/22/2020

Business partner of the seller or seller's competitor, not included in G2 scores.

"Apache Pig review by academica"

4/5

What do you like best about Apache Pig?

It is easy to learn and get into production. It automates important MapReduce tasks into SQL kind queries. Review collected by and hosted on G2.com.

What do you dislike about Apache Pig?

- Not all tasks in Big Data can be completed using pig. Review collected by and hosted on G2.com.

What problems is Apache Pig solving and how is that benefiting you?

I used Pig while exploring big data tech stack and used it for the ETL process. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Stirling N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Stirling N.")
SN

Stirling N.

Reporting Manager

Government Administration

Enterprise (\> 1000 emp.)

1/10/2018

"Apache Pig - Faster execution"

3.5/5

What do you like best about Apache Pig?

Apache Pig is a 1st pass compiler, which is at its best using DAG. Review collected by and hosted on G2.com.

What do you dislike about Apache Pig?

If you want to drill down and use complex structures, it is not the best way. Review collected by and hosted on G2.com.

Recommendations to others considering Apache Pig:

4 great purpose it is the right tool, finding out is, however a trickier business. Review collected by and hosted on G2.com.

What problems is Apache Pig solving and how is that benefiting you?

If you do not know the structure in advance, then DAG and declared execution plans may be the best way to find it out - then use SQL once the plan is know. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Verified User in Marketing and Advertising](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Marketing and Advertising")
UM

Verified User in Marketing and Advertising

Mid-Market (51-1000 emp.)

3/24/2017

"Apache Pig"

4/5

What do you like best about Apache Pig?

1. Ease of use, its performance

2. MapReduce is fully abstracted

3. Ability to chain multiple MR jobs into a single Pig script

4. Allows you quickly to crank through big data to get some analytics done Review collected by and hosted on G2.com.

What do you dislike about Apache Pig?

1. Slower in performance compared to Spark

2. Less support e.g String concatenation only allows 2 at a time, cannot sort & filter inside Group BY, etc

3. Cannot read in other forms of input like csv as parquet, what Spark can do

4. Error handling needs to be better. Not easy to debug UDFs Review collected by and hosted on G2.com.

Recommendations to others considering Apache Pig:

Definitely a good starting point for writing quick big data applications. Anyone who has experience writing queries and basic programming experience in Java, should be able to pick it this language up in short time. Its really useful to learn and makes ad-hoc analytics very convenient. Review collected by and hosted on G2.com.

What problems is Apache Pig solving and how is that benefiting you?

Few of our proprietary data pipelines involving batch-processing are written using Pig. Programmers can focus more on writing the core analytics logic rather than getting worried about so many mappers/reducers for each intermediate sub-task. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Anson A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Anson A.")
AA

Anson A.

Data Czar

Mid-Market (51-1000 emp.)

12/21/2016

"Apache Pig Review"

3.5/5

What do you like best about Apache Pig?

creating udaf's easily.

manageable and easy to write pig languages

can be streamed through python and scripted out vs writing an MR job Review collected by and hosted on G2.com.

What do you dislike about Apache Pig?

not as truly scalable as writing MR job.

joins are easy, but not as easy as hive queries

doesn't handle parquet really well

not as fast and flexible as spark Review collected by and hosted on G2.com.

What problems is Apache Pig solving and how is that benefiting you?

main process pipeline flows are using pig.

creating multiple UDAF/UDFs as well as other jar libraries that only pig and hive can handle Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![F. Javier P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "F. Javier P.")
FP

F. Javier P.

Mobile Team Lead

Small-Business (50 or fewer emp.)

3/24/2016

"I've only evaluated it as a proof-of-concept, but the small I see I've liked it"

4/5

What do you like best about Apache Pig?

It integrates quite well with a Hadoop cluster. I think is a must-have software to do big data things, such using it for map-reduce tasks Review collected by and hosted on G2.com.

What do you dislike about Apache Pig?

The "programming" language, seems more a scripting language. It reminds me to ABAP Review collected by and hosted on G2.com.

Recommendations to others considering Apache Pig:

Use it! I didn't use it a lot of time, but it seems to do the job in term of big-data analytics and reporting Review collected by and hosted on G2.com.

What problems is Apache Pig solving and how is that benefiting you?

Data-crunching analytics and report generation. Used to do a proof-of-concept test with some corporative data Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

##### Pricing

Pricing details for this product isn’t currently available. Visit the vendor’s website to learn more.

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