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We now know that there are many differences between Sqoop and Flume, here are the most important differences between them given below –ġ. Head to Head Comparison between Sqoop and Flume (Infographics)īelow is the top 7 comparison between Sqoop and Flume: It currently supports creating text and sequence files and supports compression in both file types.

Sink – It removes the event from a channel and put it on an external repository like HDFS.Channel- It is a passive store where events are held until the sink removes it for further transport.Source- A source is one that consumes events having a specific format and delivers it via a specific mechanism.Flume Client- it refers to the interface where the client operates at the origin point of the event and delivers it to the Flume agent.

Flume Flow- it is the point of time the event is being generated.

It has the potential to receive, store and forward the events from an external source to the next level.

Flume Agent- It is a JVM process that hosts the components such as channels, sink, and sources.

Flume considers an event just a generic blob of bytes.

Flume Event- it is represented as the unit of data flowing, which has a byte payload and set of strings with optional string headers.

The Apache Flume is not only restricted to log data aggregation but data sources are customizable and thus Flume can be used to transport massive quantities of data including but not limited to email messages, social-media-generated data, network traffic data and pretty much any data source possible.įlume architecture: –Flume architecture is based on many-core concepts:

The Sqoop API gives a helpful structure for assembling new connectors and therefore any database connectors can be dropped into Sqoop installation to give connectivity to different data systems. Sqoop gives a pluggable component for an ideal network and external system. Thus Sqoop ships with a mixed variety of connectors out of the box as well. Despite the fact that drivers are database-specific pieces and distributed by various database vendors, Sqoop itself comes bundled with different types of connectors utilized for prevalent database and information warehousing system. The connector in a Sqoop is a plugin for a particular Database source, so it is fundamental that it is a piece of Sqoop establishment. It works with different databases like Teradata, MySQL, Oracle, HSQLDB. The export functionality of Sqoop is used to extract useful information from Hadoop and export them to the outside structured data stores. You can also then export the data back into an RDBMS using Sqoop. To use Sqoop, a user has to specify the tool user want to use and the arguments that control the particular tool. Hadoop, Data Science, Statistics & others What is Sqoop