| Description: |
|
| Deployment: |
|
Modes of
Operation:
Check indicates
primary intended
use(s). |
Local: |
|
| Multiuser File Server: |
|
| Multiuser Client/Server: |
|
| Web Server: |
|
| Package(s) Available: |
Price: |
| Database/File Format Supported |
Native? |
Via |
Notes |
| DBF |
Yes |
|
(FoxPro DBFs) |
| Third Party Tool Compatibility: |
Compatible? |
| (Delphi) Database Explorer |
Unknown |
| Ace Reporter |
Unknown |
| InfoPower |
Unknown |
| Orpheus (TurboPower) |
Unknown |
| QuickReports |
Unknown |
| RAVE Reports |
Unknown |
| ReportBuilder Pro |
Unknown |
Vendor's Description (from Readme files, web site, etc.):
The TFox components provide a link between FoxPro™
DBFs, CDXs, and DBCs, via an OLE DLL. The OLE DLL (VFPOLE.DLL)
has an internal ErrorTrapping routine that will instantiate
it's own error dialog box that should provide enough debugging
information to find and correct the error. Should an error
occur, the OLE module will close all tables that it opened, and
issue a CANCEL command which will enable Delphi to trap the
error with a Try and Except statement.
TFox wasn't designed to replace the BDE, but work with it.
We found where the BDE falls short, is in complex queries
against large and highly populated tables. TFox executes
queries with the native speed of Rushmore and returns the
result-set in a TTable object. It also provides other
functionality through the VFP run-time.
$89.00 W/O Source (US), $149.00 W/ Source (US)
BDE Alternatives Guide Comments:
If you come from a FoxPro background, and you don't mind
installing a FoxPro runtime on each machine, this is a slick
idea. You continue to use the BDE for data-aware controls, user
interfaces, and most data access. Then, when you need to do a
complex query, you use TFox... it invokes the FoxPro engine to
do the work, then lets you get to the results using the
BDE.
The point of all this is that the FoxPro engine is very,
very, very fast... the vendors indicates that on the kinds of
queries they run, the difference between the BDE and FoxPro was
hours vs. seconds, due to FoxPro's excellent query
optimizations.
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