Compare Apache Pig and Hadoop HDFS 
Apache Pig vs Hadoop HDFS
- Reviewers felt that Hadoop HDFS meets the needs of their business better than Apache Pig.
- When comparing quality of ongoing product support, reviewers felt that Hadoop HDFS is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Hadoop HDFS over Apache Pig.
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...
Slow and clunky, especially when there are better options out there like Spark.
Distribute data and computation.The computation local to data prevents the network overload. We can easy to handle partial failure. Here the entire nodes can fail and restart. it avoids crawling horrors of failure and tolerant synchronous distributed...
Programming model is very restrictive:- Lack of central data can be preventive.
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...
Distribute data and computation.The computation local to data prevents the network overload. We can easy to handle partial failure. Here the entire nodes can fail and restart. it avoids crawling horrors of failure and tolerant synchronous distributed...
Slow and clunky, especially when there are better options out there like Spark.
Programming model is very restrictive:- Lack of central data can be preventive.
