Best olap software for free download

.Net ModelKit Suite is a package of .NET components for data processing, analysis and visualization. The suite includes a flexible report generator, an effective OLAP component and a high performance tool for creating digital dashboards and KPI
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Fastest and prowerful AJAX OLAP library for ASP.NET 2.0+. Completely written on C# and contains no ActiveX. Supports IE, FireFox (also in Linux and MAC OS), Opera. Connects to any database and requires minimum server memory. Medium trust compliant.
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RadarCube for NET Windows Forms is a Desktop OLAP component entirely authored in C# 2.0. The control has an excellent performance, splendid user interface, and vast abilities for OLAP-analysis. Use your chance to create true OLAP applications!
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The ScimoreDB Parallel Server is a low cost shared-nothing clustered database system . The Database server have been designed to take advantage of parallelization over multiple servers, achieving a near linear scalability for OLAP applications.
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OlapCube is a simple, yet powerful tool to analyze data. OlapCube will let you create local cubes (files with .cub extension) from data stored in any relational database (including MySQL, PostgreSQL, Microsoft Access, SQL aServer, SQL Server Express, Oracle, Oracle Express).

You can explore the resulting cube with our OlapCube Reader. Or you can use Microsoft Excel to create rich and customized reports.

The OLAP cube consists of numeric facts called measures which are categorized by dimensions. An OLAP cube is a data structure that allows fast analysis of data. The arrangement of data into cubes overcomes a limitation of relational databases. Relational databases are not well suited for near instantaneous analysis and display of large amounts of data. Instead, they are better suited for creating records from a series of transactions. Although many report-writing tools exist for relational databases, these are slow when the whole database must be summarized.

OLAP cubes can be thought of as extensions to the two-dimensional array of a spreadsheet. For example a company might wish to analyze some financial data by product, by time-period, by city, by type of revenue and cost, and by comparing actual data with a budget. These additional methods of analyzing the data are known as dimensions.

A financial analyst might want to view or "pivot" the data in various ways, such as displaying all the cities down the page and all the products across a page. This could be for a specified period, version and type of expenditure

Each of the elements of a dimension could be summarized using a hierarchy. The hierarchy is a series of parent-child relationships, typically where a parent member represents the consolidation of the members which are its children. Parent members can be further aggregated as the children of another parent. For example May 2005 could be summarized into Second Quarter 2005 which in turn would be summarized in the Year 2005.
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OLAP ModelKit is the first OLAP component for .NET completely written in managed code. This component has an XP Themed appearance and an ability to use any .NET data sources (including ADO.NET and IList). The flexibility of the product is additionally extended by the ability to present data with the help of any third party chart component. OLAP ModelKit is easy and convenient in use due to a friendly User Interface that is attractive and comprehensible. OLAP ModelKit allows developers to embed an effective OLAP technology in all Windows applications based on relational data. Embedded OLAP ModelKit will allow end users to interact with huge databases summarizing and exploring data infinitely. With OLAP ModelKit embedded in your application, users can view any amount of data in any way considered to be suitable at the moment as well as perform interactive analysis of any type and quality. The following manipulations are available: data filtering, drilling down, rolling up, dimensional pivoting and ranking. Full source code in C# is also available. Distribution of OLAP ModelKit is royalty free. OLAP ModelKit is a powerful and high-performance OLAP component specially designed to help you reduce your development time and costs while building effective decision support systems.
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One of conditions to achieve success in business is quick data analysis that allows saving money and time. Today many companies use pivot tables which have imperfections such as lack of flexibility and integrity of dataset, intraprocess transparency. Companies should put a question if they are ready to loose competitive ability using inaccurate data or apply progressive technology. For those who are eager to increase the efficiency by applying such a technology Perpetuum Software offers OLAP ModelKit. In addition to common functionality inhered by the existing OLAP components such as accuracy and easiness of data analysis, ability for creating and treating alternative relations etc. OLAP ModelKit has its own particularities. The product is fully compatible with .NET due to 100% managed code. This component has an XP Themed appearance and an ability to use any .NET data sources (including ADO.NET and IList). OLAP ModelKit supports nested data sources. Now there is no need to prepare a special data access meeting the required calculations. This library is intended for creating and utilizing cross reports based on multiple statistical data of large volumes. Moreover, OLAP ModelKit provides an opportunity to represent the final report data not only as a table; it also allows organizing the information so to make it available for use by third party chart components. It should be mentioned such features as comprehensible User Interface. Now end users have an ability of data filtering, drilling down, rolling up, dimensional pivoting, ranking. The product allows embedding OLAP technology in all Windows applications based on relational data. It is possible to export a cross report into an Excel table, HTML or PDF. OLAP ModelKit is a high-performance OLAP component specially designed to help reduce development time and costs while building effective decision support systems. Full source code in C# is available. Distribution of OLAP ModelKit is royalty free.
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Quella B.I.S. is an easy-to-use tool covering the Business Intelligence Process from Data Extraction to Analysis. As a total solution, Quella extracts transactional data from heterogeneous data sources, consolidates the extracted data and provides necessary business information to decision makers through List Reports, Charts and OLAP-Reports. Information becomes in this way easily available to decision makers throughout the organisation.

Quella is a tool that helps you to maximise the benefits of processing existing data and allows you to easily incorporate new ones. Users do not need to have data warehouse experience nor extensive knowledge in SQL-programming to fully exploit the rich functionality encapsulated in the application. Through a user-friendly interface, extracting, combining and managing data becomes an easy task. Powerful algorithms also make your data manipulation processes more efficient and flexible while build-in reporting capabilities enable you to deliver fully customised information to those who need it.

The entire process from data extraction to report generation can also be fully automated and scheduled so that once a report is implemented, human intervention can be reduced to the minimum.

Furthermore, Quella’s flexible design will ensure that any unexpected change in terms of data sources or informational needs can rapidly be incorporated into existing solutions. Information once delivered to the decision maker can be easily analysed through List Reports, Charts or OLAP-Reports. The latter are particularly powerful tools to interactively summarise, slice and filter data without the need of an OLAP-Server. All the reports are portable and therefore ideal for off-line working forces.

Quella data warehouse, reporting and data analysis package consists of two complementary computer programs:

Quella Creator: ETL-Processing, Data Warehousing, Report Desing and Creation.
Quella Cognitus: Charting, OLAP-Analysis, Spreadsheet Analysis.
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