Home » Business & Finance » Database Management » Caigen DBF JDBC Driver 4.2.203
( Free Trial |800.03 KB ) Caigen DBF JDBC Driver 4.2.203 Publisher's description
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Caigen DBF JDBC Driver 4.2.203
Pure Java Type 4 DBF JDBC Driver for DBF file
- Developer:
- Caigen Software
- License:
- Shareware
- OS:
- Windows 98 / ME / XP / Unix / Linux / Mac OS X / Mac OS Other
- Requirements:
- Win98, Windows2000, WinXP, Windows2003, Unix, Linux, OS/2,Mac OS X, Netware
- Price:
- $149.00
Price is subject to change at any time by the company - Date added:
- 10/14/2011
- Last Update:
- 10/14/2011
- Average Rating:
- Not yet rated.
- Your Rating:
( Free Trial |800.03 KB ) Caigen DBF JDBC Driver 4.2.203 Publisher's description Caigen DBF is a DBF JDBC type 4 driver that allows to perform SQL operations on DBF files (dBase III/ IV/ V, Clipper, xBase, FoxPro, Visual FoxPro).
* It supports ANSI SQL 92 standard, and more than 230 sql functions. It supports { UNION | INTERSECT | EXCEPT | MINUS } [ ALL ] query , INNER JOIN, FULL JOIN, LEFT JOIN, RIGHT JOIN, NATURAL JOIN, CROSS JOIN, self join, GROUP_CONCAT, GROUPING, WITH ROLLUP, WITH CUBE, multiple-row VALUES table, PIVOT table, UNPIVOT table, and subquery which includes single-row subquery, multirow subquery, multiple-column subquery, inline views, and correlated subquery.
* It supports transactions.
* It supports data mining on memory database, compressed database(.ZIP, .JAR, .GZ, .TAR, .BZ2, .TGZ, .TAR.GZ, .TAR.BZ2), SAMBA database(smb), and url database(http, https, ftp).
* It is completely platform-independent and can be deployed on any platform with Java VM, which includes Microsoft Windows, Novell Netware, Apple Mac OS, Solaris, SCO Unix, OS2, OS/400, AIX OS, Tandem OS, MPE OS, FreeBSD, IRIX, OSF/1, OpenVMS, Guardian, UNIX, and LINUX.
* It supports ANSI SQL 92 standard, and more than 230 sql functions. It supports { UNION | INTERSECT | EXCEPT | MINUS } [ ALL ] query , INNER JOIN, FULL JOIN, LEFT JOIN, RIGHT JOIN, NATURAL JOIN, CROSS JOIN, self join, GROUP_CONCAT, GROUPING, WITH ROLLUP, WITH CUBE, multiple-row VALUES table, PIVOT table, UNPIVOT table, and subquery which includes single-row subquery, multirow subquery, multiple-column subquery, inline views, and correlated subquery.
* It supports transactions.
* It supports data mining on memory database, compressed database(.ZIP, .JAR, .GZ, .TAR, .BZ2, .TGZ, .TAR.GZ, .TAR.BZ2), SAMBA database(smb), and url database(http, https, ftp).
* It is completely platform-independent and can be deployed on any platform with Java VM, which includes Microsoft Windows, Novell Netware, Apple Mac OS, Solaris, SCO Unix, OS2, OS/400, AIX OS, Tandem OS, MPE OS, FreeBSD, IRIX, OSF/1, OpenVMS, Guardian, UNIX, and LINUX.
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