sqoop - Sqoop vs Flume - apache sqoop - sqoop tutorial - sqoop hadoop



What is Flume?

  • Apache Flume is service designed for streaming logs into Hadoop environment and it is a distributed and reliable service for collecting and aggregating huge amounts of log data.
  Sqoop vs Flume

Learn sqoop - sqoop tutorial - Sqoop vs Flume - sqoop examples - sqoop programs

Difference between Sqoop and Flume:

Sqoop Flume
Sqoop is used for importing data from
structured data sources such as RDBMS.
Flume is used for moving bulk streaming data into HDFS.
Sqoop has a connector based architecture.
Connectors know how to connect to the respective data
source and fetch the data.
Flume has an agent based architecture. Here, code is written (which is called as 'agent') which takes care of fetching data.
HDFS is a destination for data import using Sqoop. Data flows to HDFS through zero or more channels.
Sqoop data load is not event driven. Flume data load can be driven by event.
In order to import data from structured data sources,
one has to use Sqoop only,
because its connectors know how to interact with
structured data sources and fetch data from them.
In order to load streaming data such as tweets generated on
Twitter or log files of a web server, Flume should be used.
Flume agents are built for fetching streaming data.

Related Searches to Sqoop vs Flume