<story><title>Pilosa: An open source, distributed index</title><url>https://www.pilosa.com/docs/latest/data-model/</url></story><parent_chain></parent_chain><comment><author>joshuaellinger</author><text>Technically, it is very interesting -- it uses Roaring Bitmaps under the hood and builds a query engine on it.  So an easy way to think about it is that it maps categorical data into a giant compressible distributed bitmap.&lt;p&gt;I&amp;#x27;ve been planning to see if I can (mis)use it as an OLAP replacement but I haven&amp;#x27;t had time to get to it.</text></comment>
<story><title>Pilosa: An open source, distributed index</title><url>https://www.pilosa.com/docs/latest/data-model/</url></story><parent_chain></parent_chain><comment><author>eismcc</author><text>&amp;gt;Pilosa is a standalone index for big data. Its goal is to help big data storage solutions support real time, complex queries without resorting to pre-computation or approximation. Pilosa achieves this goal by implementing a distributed bitmap index which provides a compact representation not of the data itself, but of the relationships present in the data.&lt;p&gt;&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;www.pilosa.com&amp;#x2F;pdf&amp;#x2F;PILOSA%20-%20Technical%20White%20Paper.pdf&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;www.pilosa.com&amp;#x2F;pdf&amp;#x2F;PILOSA%20-%20Technical%20White%20...&lt;/a&gt;</text></comment>