Development » Components & Libraries » StelsCSV - fast Text JDBC / CSV JDBC driver 4.0 Free Download

StelsCSV - fast Text JDBC / CSV JDBC driver 4.0

JDBC driver for text files (CSV, DSV, tab-separated, fixed-length, etc)
Last updated: January 4, 2009
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StelsCSV - fast Text JDBC / CSV JDBC driver 4.0 Summary:

Publisher: J-Stels Software
Rating:
Free Download StelsCSV - fast Text JDBC / CSV JDBC driver 4.0Download Now
  • Windows,Unix,Linux - 223KB
  • Licence: Shareware, $140.00 to buy
  • Date Added: March 26, 2008
  • Release status: Major Update

StelsCSV - fast Text JDBC / CSV JDBC driver 4.0 Description:

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.
Free Download StelsCSV - fast Text JDBC / CSV JDBC driver 4.0 from J-Stels Software now!
Buy StelsCSV - fast Text JDBC / CSV JDBC driver 4.0 full version here

Software OS: Win95,Win98,WinME,WinXP,Windows2000,Unix,Linux
Setup Filename: stels_csv.zip
System Requirements: JDK 1.4 or later

StelsCSV - fast Text JDBC / CSV JDBC driver 4.0 Tags:

jdbc csv driver,csv file jdbc driver,text file jdbc driver,text jdbc driver,fixed length jdbc,java csv,csv sql,read write csv

StelsCSV - fast Text JDBC / CSV JDBC driver 4.0 Full Description:

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.


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