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PIG Vs HIVE

Apache PIG and Apache HIVE are two components in HADOOP ecosystem. Both PIG and HIVE used for the developers aimed for easing in writing Java code for Mapreduce programs. Those who have not much knowledge on JAVA would opt their choice either PIG or HIVE. If we observe diagrammatic HADOOP ecosystem both PIG and HIVE have exist in same verticals. When we discussed on performance of job, both HIVE and PIG are slow compared to traditional Map Reduce job. HIVE or PIG scripts have to be converted into a series of Map Reduce jobs. But both Hive and PIG can join, order & sort dynamically.
PIGHIVE
It is best for semi structured dataIt is best for structured Data
It is developed for programmingIt is meant for reporting
It is used as procedural languageIt is used as a declarative SQL
It does not support PARTITIONSHive supports PARTITIONS
PIG can't start thrift based serverHive can start an optional thrift based server
PIG don't have dedicated metadata of databaseIt defines tables before hand (schema) + stores schema information in database
PIG supports Avro file formatHive does not support Avro
It supports additional COGROUP feature for performing outer joinsIt doesn't support COGROUP
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