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  • Home > Windows > PORTABLE SOFTWARE > Personal Finances
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    Portable MightyQuery 1.0.9

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    Downloads: 719  Tell us about an update
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    Freeware / $0
    5.3 MB / Windows All

    C: \ PORTABLE SOFTWARE \ Personal Finances

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    Portable MightyQuery description

    SQL database management system for CSV files

    MightyQuery is a single user SQL database management software working with data stored as comma separated values (.csv, .txt) in plain, flat, textual files. It is serverless, self-contained, simple and effective SQL DBMS for querying CSV files.

    MightyQuery does not require a server installation or any external libraries. Though there are other database solutions that can process single textual file, MightyQuery is distinguished from them by its SQL engine, by which you can query and modify CSV tables with power that is normally reserved for huge enterprize-level SQL engines.

    If you need to process heterogenous business data exported from various enterprize ERP, MRP, Data Warehouse, Accounting or other database systems, MightyQuery could be your solution. It is, also, suitable for managing simple personal databases, in cases where installing and managing complicated SQL servers is overkill for you.

    To enable processing of external data, Mighty Query contains importing utility, supporting wide range of SQL database servers, such as: PostgreSQL, Interbase, Firebird, MSSQL, Sybase, SQLite, Oracle, ado, ASA. MightyQuery is developed by using Lazarus Free Pascal RAD IDE (www.lazarus.freepascal.org) and janSQL database engine, which original code is written Jan Verhoeven (http://jansfreeware.com) and released under MPL 1.1. license. Source code of janSQL is provided in installation folder of MightyQuery application

     

     Softpedia guarantees that Portable MightyQuery 1.0.9 is 100% CLEAN, which means it does not contain any form of malware, including spyware, viruses, trojans and backdoors. [read more >]


    TAGS:

    database managment | database creator | database editor | query | SQL | CSV

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