What is difference between Apache Pig and Hadoop?
Posted On: Jan 07, 2021
The difference between Apache Pig and Hadoop are as follows:
| Topics | Apache Pig | Hadoop |
| Data Processing | It is used to analyze large sets of data representing them as data flows. | All the data manipulation operations in Hadoop performed using Apache Pig. |
| Processing Speed | Apache Pig is faster than Hadoop. | Apache Pig is used in Hadoop. |
| Definition | Apache Pig is a platform for creating programs that run on Apache Hadoop. | Hadoop is a framework to process/query Big data. |
| Operations | Apache Pig is a tool/platform which is used to analyze large sets of data representing them as data flows. | Hadoop is used for analytical and BIG DATA processing. |
| Operates On | Apache Pig operates on the Client-side of the cluster | Apache hive operates on the Server side of Cluster |
| File Format | Apache Pig Supports Avro file format. | Hadoop also provides support for binary files. |
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