Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows XP | Windows 2000 | Windows 2003 | Windows 2008 | Windows ME | Windows Vista | Windows 2012 SHA1 Hash: 0b036b5c2c32a1cbe40d103004c59d3b4f1e75f1 Size: 7.07 MB File Format: exe
Rating: 2.391304347
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based on 23 user ratings
Publisher Website: External Link Downloads: 1287 License: Demo / Trial Version
HierCube OLAP library for VCL is a demo software by Radar-soft, L.l.c. and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows XP, Windows 2000, Windows 2003, Windows 2008, Windows ME, Windows Vista, Windows 2012.
You can download HierCube OLAP library for VCL which is 7.07 MB in size and belongs to the software category Components Libraries. HierCube OLAP library for VCL was released on 2011-03-29 and last updated on our database on 2017-06-13 and is currently at version 4.58.
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HierCube OLAP library for VCL Description
HierCube Library is a set of VCL components designed to create fast, handy, and powerful OLAP-applications in different IDE. The library has its own OLAP-engine made using MOLAP-principle, and allows you making OLAP-views "on the fly", not wasting time and memory for intermediate calculations. Calculations performance doesn't depend on the cube capacity and the depth of hierarchical dimensions. For example, one million records fact table is processed for less than a second. No OLAP server required.
Main features:
- 100% Unicode support
- "Star" or "Snowflake" schemas support
- Hierarchical dimensions of any nesting level, defined with "Parent-Child" relations
- Several flat dimensions grouped into a hierarchical one (composite or multilevel dimension).
- Dimension filters: allows to exclude any members from the current OLAP-view
- Dimension groups: allows to gather any members into a single group during.
- History of OLAP-views: allows "undo", "redo" operations during OLAP-analysis
- Three types of calculated summaries: see data that you really want.
- Different aggregate functions and sub-functions: using different functions to display cube data. Sub-functions display the final result in different ways like displaying % value instead of the function value.
- Supersaturated cubes: no need to group records in the SQL-queries.
- Saving/Restoring: allows to save all cube and/or all OLAP-views in a disk file and restore it back later on.
- Fact table editing: allows to use HierCube library to create cross tabulated tables.
- Displaying current OLAP-slice in a diagram.
- Dimension attributes: displaying additional information given from the dimension table from any member.
- No standard problems of "sparse" multidimensional cubes like "database explosion" or "cube sparsity".
- Vast export functionality: copying to Clipboard, exporting in the most common formats: PDF, RTF, HTML, XLS, CSV, BMP, WMF, and other.
- Easy localization.
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