Projects / Cubulus OLAP

Cubulus OLAP

Cubulus is an analytic engine and a slice and dice Web interface on top of a relational database (MySQL, PostgreSQL, SQLite, and MonetDB at the moment). It caches calculated cells and is able to parse basic MDX queries, with a maximum of two dimensions cross-join on rows and/or on columns. It includes hierarchical charts: the vertical boxes represent hierarchy "on rows", and horizontal boxes represent data sets "on columns" scaled to the "on rows" measure.

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Recent releases

  •  29 Oct 2007 22:32

    Release Notes: The Adobe SVG plugin for Iexplorer has been fixed. An SVG rendering error for empty charts has been fixed. The content-type header = "application/xhtml+xml" has been fixed.

    •  28 Oct 2007 07:35

      Release Notes: An iframe with a chart has a static height to fix rendering problems in Firefox. Minor JavaScript errors were fixed, so now it works in Firefox, Camino, and Safari.

      •  21 Oct 2007 23:48

        Release Notes: This release includes hierarchical charts. The vertical boxes represent hierarchy "on rows", and horizontal boxes represent data sets "on columns" scaled to the "on rows" measure.

        •  28 May 2007 23:42

          Release Notes: Rounding has been fixed for MonetDB. A bug with keeping the drillpath when dicing has been fixed. gen.py generates all tables.

          •  23 May 2007 04:51

            Release Notes: The fact table is now split by non-aggregatable dimensions. A problem where unionAllSQL had an empty rowL when the workload was divisible by MAX_PIPELINED_UNION was fixed along with an issue where unionAllSQL failed when selecting "all" from a non-selectable-root dimension.

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