Free download FastCube

FastCube

2.2
FastCube is a handy tool for efficient analytical data arrays handling
Free Download
User rating
8.5/10
13 votes
License
Shareware
OS
Windows
Developer
Version
2.2
File size
9.6 MB
Language
English
Release date
17 November 2014

FastCube 2.2 review

FastCube is a smart and effective analytical data arrays handling software with features and capabilities.
Based on a graphical interface this effective tool is perfect for analytical data arrays handling. With this amazing tool it is possible to analyze data and to build summary tables (data cut-offs) and also create a variety of reports and graphs easily and instantly. This application includes features like: it is a perfect set of OLAP Desktop components, provides support for Delphi 7, 2005, 2006/Turbo, 2007, 2009, XE, XE2, C++Builder 6, 2007, 2009, XE2, XE3, XE4, XE5, XE6, XE7 CodeGear RAD Studio 2009 and Lazarus; its components can be built into the interface of host applications, ability to Instantly download and handle data arrays, and much more.
FastCube, this simple and easy to use tool also allows building ready-made templates useful for summary tables.

Publisher's description

FastCube is a handy tool for efficient analytical data arrays handling.
FastCube enables you to analyze data and to build summary tables (data cut-offs) as well as create a variety of reports and graphs both easily and instantly. It's a handy tool for the efficient analysis of data arrays.
FastCube is a set of OLAP Desktop components. It supports Delphi 7, 2005, 2006/Turbo, 2007, 2009, XE, XE2, C++Builder 6, 2007, 2009, XE2, XE3, XE4, XE5, XE6, XE7 CodeGear RAD Studio 2009 and Lazarus.
FastCube components can be built into the interface of host applications
FastCube end users do not require high programming skills to build reports
FastCube is a set of OLAP Desktop components for Delphi/C++Builder/Lazarus
Connection to data-bases can be not only through the standard ADO or BDE components but also through any component based on TDataSet
Instant downloading and handling of data arrays
Ready-made templates can be built for summary tables. It is posible to prohibit users from modifying the schema
All FastCube's settings may be accessed both programmatically and by the end user
FastCube's data can be saved in a compact format for data exchange and data storage

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