Relational Data Explorer 1.1
Relational Data Explorer is an utility to comfortably navigate between database tables and csv/txt files connected by foreign key relationships.
|
Relational Data Explorer is an utility to comfortably navigate between database tables and csv/txt files connected by foreign key relationships. It is not meant as database administration tool treating tables as isolated monoliths, but as browser tool that allows the user to do all the task necessary to find information in a widespread network of structured data objects, as it is the reality of today's office work.
This means especially the integration and reconciliation of everyday's csv/txt files (spreadsheets) with the data pooled in a database.In order to do this a definition of the relationships and dialog structures is done nearly completely by using SQL. These definitions get done via RDE Designer.
Currently the following database systems are supported by their own native interface:
A lot of other systems are supported via ODBC, esp. MS SQL Server.
CSV/TXT files (semicolon or tab separated) are supported by loading them dynamically into a temporary SQLite database, also enabeling joins to the main database.
So the target is to provide an easy to use and easy to configure application development platform for database investigation tasks. It is not meant to replace tailor-made, sophisticated, large scale and expensive business applications, but to do its job in those cases, where you need some sort of spreadsheet for sql-based data structures, a flexible information management tool, rapidly adaptable to new tasks and requirements, i.e. in the home, small business and back office area, for development and support people who need a more direct and unfiltered view of the data than what a complex application may offer.
RDE was designed as a native Windows application in order to offer a grade of speed and comfort that an HTML-based web application can never achieve.
RDE is currently available in English, German, French and Spanish; the help file is in English only. The supported platform is MS-Windows 2000 or later.
tags are supported csv txt txt files systems are not meant the data
Download Relational Data Explorer 1.1
Download Relational Data Explorer 1.1
Purchase: Buy Relational Data Explorer 1.1
Similar software
Relational Data Explorer 1.1
Soma-Sema Software
Relational Data Explorer is an utility to comfortably navigate between database tables and csv/txt files connected by foreign key relationships.
eva/3 Universal Database Converter 1.2
optadat@.com
The Universal Database Converter transfers complete database data structures, data repositories, and indices from one database system to another.
Sonswish 1.33
RustemSoft
Sonswish is an Oracle database browser, available as a desktop application.
WinSQL Lite 5.5.60.568
Synametrics
WinSQL is an ODBC compliant database development solution that streamlines day-to-day tasks related to databases
WinSQL works with any ODBC compliant database including, but not limited to, Oracle, Sybase, DB2, MS SQL Server, Informix, MS Access, MySQL, PostgreSQL, and more.
DatAdmin 0.7.8
DatAdmin
DatAdmin is grafical database interface for Windows.
IC Studio 1.2.0
IC Soft, Inc.
IC Studio is a comprehensive tool designed to help Oracle database application developers and DBAs to be more productive when working with database as they design, develop, test and support any client/server or web based applications.
EMS SQL Management Studio for PostgreSQL 1.2
EMS Software Development
EMS SQL Management Studio for PostgreSQL is a complete solution for database administration and development.
H2 Database Engine 0.9
H2
H2 is an SQL database engine written in Java (but also available as a native binary).
Microsoft SQL Server 005 Service Pack 2
Microsoft
SQL Server 2005 is a comprehensive database software platform providing enterprise-class data management and integrated business intelligence (BI) tools.
DBACentral for MySQL 1.6.1 build 166
microOLAP Technologies LTD
DBACentral for MySQL is a unique solution for database administration, development and data management.