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Mondrian is an OLAP (online analytical processing) engine written in Java. It reads from JDBC data sources, aggregates data in a memory cache, and implements the MDX language and the olap4j and XML/A APIs.
OLAP application in PHP for MySQL databases.
No java-based web service needed.
No MDX language to use.
Download FooodMart Database for MySQL
http://pentaho.dlpage.phi-integration.com/mondrian/mysql-foodmart-database
On line demo and information at http://phpmyolap.altervista.org/
OpenI plugin for Pentaho CE provides a simple and clean user interface to visualize data in OLAP cubes. It supports both direct Mondrian and xmla based connections like Microsoft SQL Server Analysis Services (SSAS), plus provides add-on features like Explore Cube Data, custom SQL for drillthrough data, publishing drillthrough data to external web services etc.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Advanced Analysis Services is a Business Intelligence (BI) tool to let users analyze OLAP sources like Pentaho, Mondrian, Microsoft Analysis Services (MSAS) or Hyperion, in an intuitive way, based on analysis templates like Paretto, Ranking and BCG
Google Web Toolkit-based tool for publishing user-friendly OLAP views, reports and dashboards. Uses Mondrian OLAP and a relational database as the back-end.
A Flex/java based system for presenting statistics over the net. Based on Mondrian backend. Able to handle large amounts of data, administration facilities not worth shouting about.
JRubik is a set of tools for navigating and reporting over OLAP Datasources, mainly Mondrian and XMLA servers. This project is based on the components developed by the JPivot project.
BIOLAP - OLAP for Genome and Biology Data Sets. This project extends Mondrian OLAP to biology data sets. We provide tools to slice and dice genomic sequence similarities and more easily explore large genomic data sets.