Projects / CloverETL

CloverETL

CloverETL is Java-based tool/framework for data integration and creation of data transformations. It is component based and follows the concept of transformation graphs which consist of individual nodes/components performing simple (or complex) operations on data. Any transformation can be defined as a set of interconnected nodes through which data flows. CloverETL can be used as a standalone application or be embedded into a larger project.

Tags Database Information Management Software Development Build Tools Libraries Application Frameworks Database Engines/Servers Workflow Frameworks Java Libraries ETL Data Transformation Data Integration
Licenses LGPL
Operating Systems OS Independent
Implementation Java

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Rss Recent releases

  • Rrelease-mid
  •  01 Jul 2009 20:03
  • Rrelease-after

    Changes: This is mainly a bugfix release with a few new features added.

    • Rrelease-mid
    •  03 Jun 2009 12:56
    • Rrelease-after

      Changes: This is a maintenance release that contains around 30 improvements.

      • Rrelease-mid
      •  23 Apr 2009 20:37
      • Rrelease-after

        Changes: This release contains several new features and many bugfixes. DataGenerator can use the CTL function to generate random data. A lookup table may be used. Support has been added for the XLSX format to both XLSReader and XLSWriter. There are 10+ new CTL functions, Joda library time parsing, tar protocol support for readers, and new examples (CompanyTransactionsTutorial and CTLFunctionsTutorial). This release brings 100+ new changes/features.

        • Rrelease-mid
        •  09 Dec 2008 13:51
        • Rrelease-after

        Changes: This release brings three new transformation components and two new lookup table types (persisent and Aspell-like). It also fixes several reported bugs.

        • Rrelease-mid
        •  31 Aug 2008 07:04
        • Rrelease-after

        Changes: Major changes include incremental reading of input data (file or DB), a reworked JDBC connection that now supports database-specific handlers (MySQL, Oracle, DB2, etc.), and enhancements of readers and writers which can, aside reading from files (local or remote), read/write data from/to an internal data dictionary.

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