Apache Pig
Reviews
Star rating
Rank in Big Data Analytics
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 19.0% |
| Mid-Market | 19.0% |
| Enterprise | 61.9% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
What reviewers say
Apache Pig has saved my life from forever coding!
“What I like best about Apache Pig how efficiently we can write any of our complex map reduce or spark jobs without having much deep knowledge of Java, Python, Groovy. Also, its easy to control the execution of job with the help of pig.”
Apache Pig makes it easy to create efficient data pipelines
“Apache Pig and its query language (Pig Latin) allowed us to create data pipelines with ease. The language is designed to reflect the way data pipelines are designed, so it discards extraneous data, supports user defined functions (UDFs) , and offers a lot of control over the dat”
Useful for map reducing huge dataset - application in transportation engineering for probe data
“It can handle some of the simple mathematical operations, along with reducing the data. Aggregating the data is extremely useful. Running DateTime functionalities in apache pig is really a useful feature for faster and quicker results. Pig works on datasets of around 150 to 180 G”