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StelsCSV - fast Text JDBC / CSV JDBC driver

StelsCSV - fast Text JDBC / CSV JDBC driver 3.0

StelsCSV is a JDBC driver that allows to perform SQL queries and other JDBC operations on text files (CSV, DSV, tab-separated, fixed-length, etc). Download StelsCSV - fast Text JDBC / CSV JDBC driver by J-Stels Software

Publisher: J-Stels Software
License: Shareware
Price: USD $99.00
Filesize: 224.0 KB
Date Added: 07/05/2007

StelsCSV is a JDBC driver that allows to perform SQL queries and other JDBC operations on text files (CSV, DSV, tab-separated, fixed-length, etc). Using this driver, you can easily create a fast database consisting of plain text files. Also, the driver can be used for writing data importing programs and migration tools.

Features: supports most keywords of ANSI SQL92, supports inner and outer table joins, supports INSERT, UPDATE and DELETE statements, supports data types, supports aggregate, numeric, string, conversion and user-defined SQL functions, supports reading text files from Zip/Jar archives and HTTP URLs, platform independent.

Platform: Windows 95, Windows 98, Windows Me, Windows 2000, Windows XP, Linux, Unix

Category: Software Development


Download | Homepage | Buy Now | Report Error

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More Software of "J-Stels Software"

StelsDBF - fast DBF JDBC driver (dBase,XBase,FoxPro) - StelsDBF is a DBF JDBC type 4 driver that allows to perform SQL queries and other JDBC operations on DBF files (dBase III/ IV/ V, xBase, FoxPro). It can be effectively used to create, process and export DBF databases in your Java applications.
StelsEngine - fast in-memory SQL database (in-memory JDBC) - StelsEngine is a fast in-memory SQL engine (in-memory JDBC) for processing tabular data in Java applications. Using StelsEngine, you can make processing data in your software considerably easier and quicker. StelsEngine implements JDBC API standard.
StelsXML - fast XML JDBC driver - StelsXML is a JDBC type 4 driver that allows to perform SQL queries and other JDBC operations on XML files. With StelsXML JDBC driver, you can easily process data contained in XML documents by using the standard SQL syntax and XPath expressions.
 

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