ETL Tools

Explain ETL Tools In Java:

For the process of performing Extraction, Transformation, and Loading, ETL is well known. Lots of sources, and formats have data which are extracted in the process and it converts it into a standard structure, and inputs into a database, web service, machine learning, and visualization. There are lots of shapes that ETL Tools come in like for instance, some run on your desktop or on-premise servers and others run as Saas in the cloud.

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1) JASPERSOFT ETL :

Normally used for creating data warehouses from transactional data; Jaspersoft is an open source ETL tool for permitting integration of relational and non-relational data sources. A business modeler for a non-technical view is also included for view of the information workflow and a job designer for editing and displaying ETL steps. There are features like output sources databases, XML, web services, CRM, native connectivity to ERP and Salesforce applications.

2) Data Pipeline :

An ETL engine used for plugging into your software for loading, migrating data, and processing on the JVM is called Data Pipeline. A single API is used or modeled after the Java I/O classes for handling data in a variety of structures and formats. For processing both streaming and batch data with same pipelines. For handling huge amount of data with a less over head and still able to do using multi threading.

3) Scriptella ETL :

Written in Java, Scriptella is an open source ETL Tool. Although it has a humble feature set, it permits for data transformations without XML and offers the ability for scripts execution in various different languages along with SQL, Velocity, JavaScript and JEXL.

4) KETL :

Built on a multi-threaded XML architecture, KETL is a production ready tool and is package independent notification tool. Java based data integration tool, data management, security are some of the main features of KETL.

5) Apatar ETL :

Relying on Java, Apatar is an open source Etl. Single-interface project integration, bi-directional integration, platform independence, non developers are some of the feature set it includes. There are wide range of applications and data sources like MS SQL, Oracle, JDBC and it has the ability to work with these.

6) Apache Crunch :

The process of writing, testing, and running is made easy and the Apache Crunch is an open source Java API. The tasks are in rapid speed and it runs on top of Hadoop MapReduce. Data joining and integration are some of the instances of these tasks. Although its design doesnt fit into a relational model like serialized object formats, and series.

7) Cascading :

For data processing, cascading is an open source Java library. For solving business problems, API offers you a wide range of capabilities. A data integration API is offered by the tool and you can construct your own taps and schemes. Reading and Writing of data can be supported by Cascading the wide range of external sources. 

8) Apache Oozie :

For scheduling Apache Hadoop Jobs, a java web application called Apachie Oozie is used. A scalable and a reliable tool for performing on a single logical unit by integrating sequentially with multiple jobs. Job scheduling is also supported by Apache Oozie for specific systems like shell scripts and Java programs.

9) Data Sift :

A powerful data validation tool and transformation framework is nothing but Datasift. With the purpose of targeting enterprise software development. The ability to customize any feature with respect to your need is the key feature over here.

10) Talend Open Studio for Data Integration :

Offering a wide range of data integration solutions, Talend is an open source tool. A drag and drop feature set. For connecting large volume of connector application help in integrating with database, web services, and mainframes.

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