Similarly, Sqoop is the best suited in situations when your data lives in database systems such as MySQL, Oracle, Teradata, PostgreSQL Sqoop and Flume Comparison Tableīelow is the comparison table between Sqoop and Flume. The key factor for using Flume is that the data must be generated in a continuous and streaming fashion. Thereafter data logs are moved to a centralized data store i.e. While collecting the date Flume scales the data horizontally and multiple Flume agents can be put in action to collect the date and aggregate them. Thus we can consider Sqoop as a collection of related tools. Sqoop also includes a set of commands which allows you to inspect the database you are working with. Whereas, Flume is used to collect data from different sources which are generating data regarding a particular use case and then transferring this large amount of data from distributed resources to a single centralized repository.Ģ. Sqoop is designed to exchange mass information between Hadoop and Relational Database. 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.
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