Citra Pivot

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License: Shareware $500

Version: 1.0.4

Release date: 2012-11-16

Company: Citra Technologies

Language: English

Size: 6122 K

Category: Component & Libraries

OS support: Windows XP, Windows Vista, Windows 7, Windows 2000, WinOther, Mac OS X, Mac OS, Windows Server 2003, Windows CE, Windows 98, Windows Millennium, Windows NT 4.x, Windows 95, Unix, Linux, Java, WindowsTabletPCEdition200

(2012-12-12)

             Editor's Review

A pivot table is an element for reviewing, managing and evaluating millions of information. It's the most significant visualization interface of the OLAP (OnLine Analytical Processing) system. With this program, you may create state-of-the-art pivot tables in Java/Swing plus incorporate all of them with your present Java software.

Citra Pivot, an expansion to the Citra Table factor, is a platform coded in Java/Swing for developing and picturing pivot tables. Pivot tables can be developed from OLAP Servers contouring towards the XML/A standards, but furthermore from in-memory two-dimensional details, via flat documents.

Features incorporate normal OLAP functions, for example filtering, sorting, drill up/down/through, slice and dice, empty cell hiding, visual totals, grand totals, subtotals, top/bottom operations, axis swapping. A variety of hierarchies could be pivoted, either visually or programmatically, by drag n' drop. The table's visual appeal can be simply personalized by utilizing various hues plus fonts for every cell. Context sensitive popup options give a intuitive experience.

The library can be optimized for minimal memory usage and higher efficiency. The API is straightforward, yet effective, and simple to understand. Finally, since Citra Pivot is dependent on Java/Swing, it may be conveniently built-into latest Swing programs and apps.

In a nutshell, the primary Features are:
-Platform independent: it generates multi-dimensional pivot tables inside the Java/Swing structures.
-Raw Data: together with OLAP databases, data could also derive from two-dimensional files or structures, developed from relational SQL databases or else.
-Connectivity: link with any OLAP Server, for example MS SQL server or Mondrian, Oracle, which contours towards the industry standard XML/A specs.
-Input independent: whether sources are flat files or an OLAP database, user code for developing and adjusting pivot tables continues to be identical.
-Multiple pivoting: a variety of hierarchies could be pivoted, either to the ROW or COLUMN regions of the table.
-Hierarchical display: the tree-like components with extensible nodes.
-Measure pivoting: it measures may also be pivot, which indicate that you can show several measures within the table.
-Filtering: it removes (hide) certain members of a hierarchy.
-Sorting: descending or ascending sorting based on the people in each hierarchy (alphanumerical), or even the measure values they symbolize.
-Slicing: it generates data slices, by putting a hierarchy within the FILTER region.
-Grand Totals: hide/show row and column grand totals.
-Efficiency: every OLAP features are supported, for example pivot, empty cells, roll-up/drill-down, slice/dice, filtering, sorting, top/bottom, visual totals.
-Subtotals: hide/show particular member subtotals.
-User friendliness: the context sensitive options for dynamically transforming the look of the pivot table as well as for implementing OLAP functions, for example axes, top, bottom swapping and much more.
-Drag n' drop: the hierarchies could be pivoted powerfully by means of drag n' drop.
-Asynchronous calls: the pivot table doesn't freeze whilst getting information from the OLAP cube.
-Appearance: accentuate and modify the visual appeal of the pivot table by utilizing various shades, fonts etc for every member and data cell.
-API: simple to use and figure out, yet highly versatile, personalized and robust.
-Rapid Application Development (RAD): expands Swing especially JTable, consequently not many new classes are released, making the API simple to understand.
-Optimization: well optimized for performance and low memory consumption, by limiting the amount of queries towards the database.
-Support: same working day support through e-mail or forum.
-Small size: relating to the features utilized, the library could be compressed to as small as 700 kb.
-Caching: query outcomes are being cached so they aren't fetched double.
-Source code: source code is available too.


Publisher's Description

5 Stars Award

A pivot table is a component for summarizing, organizing and analyzing huge amounts of data. It is the most important visualization interface of an OLAP (OnLine Analytical Processing) system. With Citra Pivot, you can create advanced pivot tables in Java/Swing and integrate them with your current Java applications.

Citra Pivot, an extension to our Citra Table component, is a framework developed in Java/Swing for creating and visualizing pivot tables. Pivot tables can be created from OLAP Servers conforming to the XML/A specification, but also from in-memory two-dimensional data, originating from flat files.

Features include typical OLAP operations, such as sorting, filtering, slice and dice, drill up/down/through, grand totals, subtotals, visual totals, top/bottom operations, empty cell hiding, axis swapping. Any number of hierarchies can be pivoted, either programmatically or visually, by drag n' drop. The table's appearance can be easily customized by using different colours and fonts for each cell. Context sensitive popup menus provide a user-friendly experience.

The library is also optimized for low memory consumption and high performance. The API is simple, yet powerful, and easy to learn. Last but not least, since Citra Pivot is based on Java/Swing, it can be readily integrated into current Swing applications and products.

Features

-Platform independent: create multi-dimensional pivot tables within the Java/Swing architecture.
-Connectivity: connect to any OLAP Server, such as Oracle, MS SQL server or Mondrian, that conforms to the industry standard XML/A specification.
-Raw Data: in addition to OLAP databases, data may also originate from two-dimensional structures or files (csv, txt etc), created from relational SQL databases or otherwise.
-Input independent: whether input is an OLAP database or flat files, user code for creating and manipulating pivot tables remains the same.
-Hierarchical display: tree-like structures with expandable nodes.
-Multiple pivoting: any number of hierarchies can be pivoted, either to the ROW or COLUMN areas of the table.
-Measure pivoting: measures can also be pivoted, which means that you can display more than one measure in the table.
-Sorting: ascending or descending sorting according to the members of each hierarchy (alphanumerical), or the measure values they represent.
-Filtering: filter out (hide) specific members of a hierarchy.
-Slicing: create data slices, by placing a hierarchy in the FILTER area.
-Grand Totals: show/hide row and column grand totals.
-Subtotals: show/hide specific member subtotals.
-Usability: context sensitive menus for dynamically changing the appearance of the pivot table and for applying OLAP operations, such as top, bottom, axes swapping and more.
-Functionality: all OLAP functions are supported, such as pivot, slice/dice, roll-up/drill-down, sorting, filtering, top/bottom, empty cells, visual totals.
-Drag n' drop: hierarchies can be pivoted dynamically via drag n' drop.

File Distribution Notice of Citra Pivot Shareware -
Citra Pivot Free Download - 2000 Shareware periodically updates software information of Citra Pivot from the publisher, so some information may be slightly out-of-date. You should confirm all information before relying on it. Software piracy is theft, Using Citra Pivot crack, password, registration codes, key generators, serial numbers is illegal.

Latest Versions History

Version: 1.0.4

Date Released: 16.11.2012

Release Notes: OLAP Pivot Tables for Java/Swing

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