Differences Between Sqoop and Flume
Let’s us discuss the Difference between two technologies like Sqoop and Flume.
Below table summarizes the capability of Sqoop and Flume.
|* It handles batch data.||*It handles real time data.|
|* Sqoop works on high volume of data, size of data range from gigabyte to terabyte.||* Flume works on low volume of data with high velocity. Size of data range from kilobytes to megabytes.|
|* The main function is to transfer the data from RDBMS to HDFS.||* The main function is to transfer streaming data (data in motion) to HDFS.|
|* Apache Sqoop load is not driven by events.||* Here data loading is completely event driven|
|* The Parallel data transfers is the main feature in sqoop, it imports data and it copies the data pretty quick||* Flume is used for collecting and aggregating data because of its distributed, reliable nature|
|* It has a connector based architecture.|
i.e connectors know a great deal in connecting with the various data sources and also to fetch data correspondingly
|* Apache Flume has agent based architecture.|
i.e code written in Flume is known as agent that will be held responsible for fetching the data
|* It support for data compression||* It does not support data compression.|
The Following diagram summarizes the capability of Sqoop and Flume. In this article we are bringing out the functionality of Sqoop and Flume.
That’s all about the Differences between Sqoop and Flume, According to your project requirement you can select above technologies.