Sqoop v/s Flume
Let us see the difference between Sqoop v/s Flume,
|It is mainly designed to import and export structured data from RDBMS or Enterprise data warehouses to HDFS or vice versa.|
|It is designed to ingests unstructured data or semi-structured streaming data into HDFS|
Sqoop is mainly used for parallel data transfers.
|Main function of flume is collecting and aggregating data.|
i.e because of its distributed, reliable nature and highly available backup routes.
|Apache Sqoop is connector based architecture.|
i.e the connectors in Sqoop know how to connect with the various data sources and fetch data accordingly.
|Apache Flume is agent based architecture|
i.e. the code written in flume is known as agent which is responsible for fetching data.
|In sqoop HDFS is the destination for importing data.||Here data flows to HDFS through multiple channels.|
|Sqoop is better choice for databases like Teradata, Oracle, MySQL Server, Postgres or any other JDBC compatible database.||Flume is a best when are moving bulk streaming data from various sources like JMS or Spooling directory|
|Apache Sqoop load is not driven by events||Apache Flume data loading is completely event driven|
|It support for data compression.||It does not support.|
From this topic we can conclude that Sqoop is designed for structured data and Flume is designed for unstructured and semi-structured streaming data.