Online Analytical Processing (OLAP) Components


These are tools that provides analysis of data stored in a database. OLAP tools enable users to analyze different dimensions of multidimensional data. For example, it provides time series and trend analysis views. OLAP often is used in data mining.





Online Analytical Processing (OLAP) Components by ComponentOne

ComponentOne OLAP™ for WinForms 2010 Vol 1

Discover new trends and drive efficiency with essential data analysis, reporting, and charting. Rather than summarizing data in spreadsheets, which can be tedious, repetitive, and error-prone; make ComponentOne OLAP™ for WinForms your business solution. This suite of .NET controls provides analytical processing features similar to those found in Microsoft Excel Pivot Tables and Pivot Charts. With drag-and-drop views, you get real-time information, insights, and results in seconds.
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Online Analytical Processing (OLAP) Components by GrapeCity

ActiveBI Suite for .NET

Product Suite that includes Data Dynamics Reports and Data Dynamics Analysis.
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ActiveReports Reporting/BI Suite for .NET

THREE .NET reporting and business intelligence tools for ONE DISCOUNTED PRICE. ActiveReports for .NET is the Award-winning .NET reporting tool with unlimited customization, fast performance, and super high quality. Data Dynamics Reports allows embedding business dashboards, KPIs and other business reporting features. Data Dynamics Analysis allows interactive visual OLAP and business intelligence for both structured and unstructured data.
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Data Dynamics Analysis V1.0.634.0

Data Dynamics Analysis is the first free-form, visual analysis component for Visual Studio.NET to embed interactive OLAP, visual analysis, and business intelligence into your .NET applications for both structured and unstructured data. Data Dynamics Analysis takes the complexity out of standard data analysis tools and gives developers a fully customizable, easy-to-use, drag-and-drop environment that allows users to explore data visually so they can quickly grasp what is happening.
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Online Analytical Processing (OLAP) Components by SpreadsheetGear LLC

SpreadsheetGear 2009 5.x

With one safe managed assembly, SpreadsheetGear 2009 enables ASP.NET and Windows Forms developers to easily take advantage of scalable Excel Reporting, dynamic dashboards from Excel charts and ranges, powerful Windows Forms spreadsheet controls, comprehensive Excel compatible charting, the fastest and most complete Excel compatible calculations and more.
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Online Analytical Processing (OLAP) Components by Radar-Soft, L.L.C.

HierCube library VCL V4.55

HierCube Library is a set of components for using by software developers, and designed to create fast, comfortable, and powerful OLAP-applications. HierCube allows to form OLAP-views "on-the-fly", not wasting time and memory for intermediate calculations. And for all that the performance of calculating almost doesn't depend on capacity of the cube and depth of hierarchical dimensions. The engine processes the fact table holding one million of records for less than a single second.
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RadarCube ASP.NET Direct V2.34.1

RadarCube Direct is a set of components for using by software developers, and designed to create fast, comfortable, and powerful OLAP-applications. RadarCube allows to form OLAP-views "on-the-fly", not wasting time and memory for intermediate calculations. And for all that the performance of calculating almost doesn't depend on capacity of the cube and depth of hierarchical dimensions. The engine processes the fact table holding one million of records for less than a single second.
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RadarCube ASP.NET for MS Analysis V2.3

The RadarCube OLAP Library provides the ASP.NET programmers with a unique chance to supply your web site with the MS Analysis 2000 or 2005 OLAP client abilities using the set of web controls. The Library is entirely authored in C# 2.0 and greatly exceeds the functionality of the PivotTable and PivotChart ActiveX components being a part of the Office Web Components set.
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RadarCube for Windows Forms V2.24

RadarCube for Windows Forms is a unique Desktop OLAP component written on C# 2.0, which combines an unsurpassed power of the RadarCube OLAP core and comfort when programming in NET Framework.
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RadarCube library for VCL V1.14

All OLAP components can work with flat dimensions. Flat dimensions, a single table as the data source. The dawn of the OLAP analysis. Developers' algorithms far from perfection, no analytical experience, mid of the nineties. Past century.
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RadarCube Olap Chart Windows Forms V2.22

The RadarCube OLAP Library provides the NET developers with a unique chance to create Business Intelligence applications working with MS Analysis 2000 or 2005 using a native NET language. The Library is entirely authored in C# 2.0 and greatly exceeds the functionality of the PivotTable and PivotChart ActiveX components being a part of the Office Web Components set.
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Online Analytical Processing (OLAP) Components by PivotWare Lab

PivotCube VCL V7.5.2.107

PivotCube is the newest OLAP elaboration of PivotWare Lab. This is a unique technology created for projecting, creation, and maintenance of "data warehouses" analytical systems. PivotCube Technology is one of best realizations of OLAP (On-Line Analytical Processing) approach to multidimensional data analysis.
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Online Analytical Processing (OLAP) Components by Elixir Technology

Elixir Data ETL 7.5.2 -  - Flexible visual diagramming to specify, test and execute data processing logic - Powerful built-in comprehensive data operations with JavaScript support for custom functions - Versatile data delivery options for real-time feed, loading to external storage and in-memory cache
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Online Analytical Processing (OLAP) Components by Contour Components

ContourCube V4.0 -  ContourCube is a high-performance OLAP component for interactive reporting and data analysis. It offers embeddable OLAP technology for all Windows and web applications based on relational data. Application powered with ContourCube allows users to create numerous nice-formed screen and printable reports in a minute. User can interact with data: slice and dice, drill down and roll up, pivot with sub-second response times and without additional server.
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