HierCube Library is a Delphi component solution for creating fast and powerful OLAP applications in various IDEs. The built-in OLAP engine offers new OLAP functionality and report generation, enabling users to obtain OLAP reports quickly and easily.
If you're in need of software that can create fast, powerful, and easy-to-use OLAP-applications in different IDE, then look no further than HierCube Library. Packed with features designed to make your life easier, this powerful tool is your one-stop-shop for all of your OLAP needs.
One of the standout features of HierCube Library is its own OLAP-engine, which uses the MOLAP-principle to allow you to create OLAP-views on-the-fly without wasting unnecessary time and memory on intermediate calculations. This means that calculations performance won't be affected by cube capacity or the depth of hierarchical dimensions, meaning you can process a fact table with one million records in less than a second – no OLAP server required.
HierCube Library comes packed with a variety of features that make creating OLAP-applications a breeze. Some of the key features include 100% Unicode support, "Star" or "Snowflake" schemas support, hierarchical dimensions of any nesting level, defined with "Parent-Child" relations, as well as several flat dimensions grouped into a hierarchical one (composite or multilevel dimension).
In addition to these key features, HierCube Library also includes dimension filters, which allow you to exclude any members from the current OLAP-view, dimension groups, which allow you to gather any members into a single group during analysis, and a history of OLAP-views, which lets you perform "undo" and "redo" operations during OLAP-analysis.
Other key features included in HierCube Library include three types of calculated summaries, different aggregate functions and sub-functions for displaying cube data, supersaturated cubes, which eliminate the need to group records in the SQL-queries, and saving/restoring functionality, which allows you to save all cube and/or OLAP-views in a disk file and restore them later on.
Some additional features you'll find in HierCube Library include fact table editing, diagram display of current OLAP-slice, dimension attributes, and no standard problems of "sparse" multidimensional cubes, such as "database explosion" or "cube sparsity."
Finally, HierCube Library boasts vast export functionality, allowing you to copy to Clipboard, export in the most common formats (PDF, RTF, HTML, XLS, CSV, BMP, WMF, and more), and easy localization. Overall, if you're looking for a powerful tool that can help you create OLAP-applications with ease, look no further than HierCube Library.
One of the standout features of HierCube Library is its own OLAP-engine, which uses the MOLAP-principle to allow you to create OLAP-views on-the-fly without wasting unnecessary time and memory on intermediate calculations. This means that calculations performance won't be affected by cube capacity or the depth of hierarchical dimensions, meaning you can process a fact table with one million records in less than a second – no OLAP server required.
HierCube Library comes packed with a variety of features that make creating OLAP-applications a breeze. Some of the key features include 100% Unicode support, "Star" or "Snowflake" schemas support, hierarchical dimensions of any nesting level, defined with "Parent-Child" relations, as well as several flat dimensions grouped into a hierarchical one (composite or multilevel dimension).
In addition to these key features, HierCube Library also includes dimension filters, which allow you to exclude any members from the current OLAP-view, dimension groups, which allow you to gather any members into a single group during analysis, and a history of OLAP-views, which lets you perform "undo" and "redo" operations during OLAP-analysis.
Other key features included in HierCube Library include three types of calculated summaries, different aggregate functions and sub-functions for displaying cube data, supersaturated cubes, which eliminate the need to group records in the SQL-queries, and saving/restoring functionality, which allows you to save all cube and/or OLAP-views in a disk file and restore them later on.
Some additional features you'll find in HierCube Library include fact table editing, diagram display of current OLAP-slice, dimension attributes, and no standard problems of "sparse" multidimensional cubes, such as "database explosion" or "cube sparsity."
Finally, HierCube Library boasts vast export functionality, allowing you to copy to Clipboard, export in the most common formats (PDF, RTF, HTML, XLS, CSV, BMP, WMF, and more), and easy localization. Overall, if you're looking for a powerful tool that can help you create OLAP-applications with ease, look no further than HierCube Library.
What's New
Version 4.58: N/A
Version 4.55: N/A
Version 4.52: N/A
Version 4.49: N/A
Version 4.48: N/A