DataPipe Database Search Replace 3.9
Advanced interactive search replace directly in database tables with patterns, fuzzy and sounds-like matching,trim leading and trailing blanks and binary characters,correct capitalization,code your own transform in VBScript or JScript and heaps more
Last update
24 Feb. 2011
Licence
Free to try |
$495.00
OS Support
Windows Me
Downloads
Total: 1,002 | Last week: 5
Ranking
#128 in
Databases Tools
Publisher
Datamystic
Screenshots of DataPipe Database Search Replace
DataPipe Database Search Replace Publisher's Description
Search and replace inside databases. Fix garbage data, remove binary characters, change embedded UNC paths coded in your database.
DataPipe interactively or automatically search/replaces data in ANY table. You can correct capitalization in people's names (a solution to the old problem), standardize formatting of addresses (eg PO Box, P.O. Box, POBOX), extract email addresses (for your next CRM campaign), search and replace using advanced pattern matching, fuzzy matching and sounds-like matching (multiple search and replace operations occur in a single pass through the database), trim blanks and multiple whitespace, remove binary characters ("garbage" characters), remove HTML, XML and SGML, convert between ASCII and EBCDIC, OEM and ANSI, Unicode and ANSI, insert or remove text within a column, force text to a specified width, write your own VBScript or JScript (or PerlScript, PythonScript, REXXscript etc) code against columns (and access COM objects) and MUCH more!
Sub filters can identify text subsets such as a range of lines or columns to be operated on without affecting any other text. This makes it easy to only perform a replacement in lines 1 to 10, or in columns 3 to 20. Other sub filters include CSV- or tab-delimited fields, lines that match or do not match a pattern, and search replacements (allowing replacement text to be capitalized etc).
DataPipe can be fully automated from the command line. Full audit logs keep track of the filters run and changes made. More than 100 example filter files are included along with a comprehensive user manual. DataPipe fully supports language translations.
DataPipe incorporates TextPipe Pro, and you get TextPipe Pro FREE when you buy DataPipe - so you can use it for cleansing text files and database extracts as well!
DataPipe interactively or automatically search/replaces data in ANY table. You can correct capitalization in people's names (a solution to the old problem), standardize formatting of addresses (eg PO Box, P.O. Box, POBOX), extract email addresses (for your next CRM campaign), search and replace using advanced pattern matching, fuzzy matching and sounds-like matching (multiple search and replace operations occur in a single pass through the database), trim blanks and multiple whitespace, remove binary characters ("garbage" characters), remove HTML, XML and SGML, convert between ASCII and EBCDIC, OEM and ANSI, Unicode and ANSI, insert or remove text within a column, force text to a specified width, write your own VBScript or JScript (or PerlScript, PythonScript, REXXscript etc) code against columns (and access COM objects) and MUCH more!
Sub filters can identify text subsets such as a range of lines or columns to be operated on without affecting any other text. This makes it easy to only perform a replacement in lines 1 to 10, or in columns 3 to 20. Other sub filters include CSV- or tab-delimited fields, lines that match or do not match a pattern, and search replacements (allowing replacement text to be capitalized etc).
DataPipe can be fully automated from the command line. Full audit logs keep track of the filters run and changes made. More than 100 example filter files are included along with a comprehensive user manual. DataPipe fully supports language translations.
DataPipe incorporates TextPipe Pro, and you get TextPipe Pro FREE when you buy DataPipe - so you can use it for cleansing text files and database extracts as well!
What's New in Version 3.9 of DataPipe Database Search Replace
New drop down menu item to browse for more filters, as some users were confused about how many filters it showed in this history list.
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