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  2. Category:Free database management systems - Wikipedia

    en.wikipedia.org/wiki/Category:Free_database...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  3. LibreOffice Base - Wikipedia

    en.wikipedia.org/wiki/LibreOffice_Base

    LibreOffice Base is a free and open-source database development and administration tool for relational database management systems that is part of the LibreOffice office suite. LibreOffice Base was built off of a fork of OpenOffice.org and was first released as version 3.4.0.1 on October 4, 2011. [3]

  4. Zamzar - Wikipedia

    en.wikipedia.org/wiki/Zamzar

    Zamzar is currently free to use, but there is a limit of two conversions per hour for files up to 100MB. Users can pay a monthly subscription in order to access preferential features, such as unlimited file conversions, online file management, shorter response and queuing times and other benefits.

  5. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    As with Adobe Acrobat, Nitro PDF Pro's reader is free; but unlike Adobe's free reader, Nitro's free reader allows PDF creation (via a virtual printer driver, or by specifying a filename in the reader's interface, or by drag-'n-drop of a file to Nitro PDF Reader's Windows desktop icon); Ghostscript not needed.

  6. dBase - Wikipedia

    en.wikipedia.org/wiki/DBase

    dBase is an application development language and integrated navigational database management system which Ashton-Tate labeled as "relational" but it did not meet the criteria defined by Dr. Edgar F. Codd's relational model. It used a runtime interpreter architecture, which allowed the user to execute commands by typing them in a command line ...

  7. KNIME - Wikipedia

    en.wikipedia.org/wiki/KNIME

    KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.