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Open Source Scalable Parallel
Multi
Dimensional Data Aggregation Engine
with MDX query interface
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HydraCube is an open
source, free, parallel software to provide scalable
Online
Analytical Processing (OLAP)
capabilities like aggregation, slicing and dicing of multi
dimensional hierarchical data. The objective is to build a parallel
software which can run on cheaper commodity desktop machines
as a cluster farm which are highly scalable and economical for
huge data volume.
It is an MOLAP server
built on top of BerkeleyDB
for efficient data handling and addresses sparsity very well
using Bit Encoded Storage Scheme (BESS). HydraCube is not
an in-memory OLAP server but execute cube aggregate queries (MDX)
on demand against the distributed
database. It has very less memory footprint and is scalable by
adding more processors to the cluster farm. It handles sparsity
and data explosion very well.
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If you find HydraCube as interesting as we do, consider joining our team of talented and enthusiastic developers. We need help in enriching the
functionality, fixing known bugs as well as porting it to all
possible platforms for wider usage.
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