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 eventsApache 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.