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Both Flume and Sqoop are meant for data movement, then what is the difference between them? Under what condition should I use Flume or Sqoop?
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Apache Sqoop in Hadoop is used to fetch structured data from RDBMS systems like Teradata, Oracle, MySQL, MSSQL, PostgreSQL and on the other hand Apache Flume is used to fetch data that is stored on various sources as like the log files on a Web Server or an Application Server.
Sqoop is used for bulk transfer of data between Hadoop and relational databases and supports both import and export of data. Flume is used for collecting and transferring large quantities of data to a centralized data store.
Sqoop is used for importing data from structured data sources such as RDBMS. Flume is used for moving bulk streaming data into HDFS. HDFS is a distributed file system used by Hadoop ecosystem to store data. Sqoop has a connector based architecture.
Apache Spark, Apache Flume, Talend, Kafka, and Apache Impala are the most popular alternatives and competitors to Sqoop.
From http://flume.apache.org/
Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data.
Flume helps to collect data from a variety of sources, like logs, jms, Directory etc.
Multiple flume agents can be configured to collect high volume of data.
It scales horizontally.
From http://sqoop.apache.org/
Apache Sqoop(TM) is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.
Sqoop helps to move data between hadoop and other databases and it can transfer data in parallel for performance.
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Both Sqoop and Flume, pull the data from the source and push it to the sink. The main difference is Flume is event driven, while Sqoop is not.
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