From: | Ondrej Ivanič <ondrej(dot)ivanic(at)gmail(dot)com> |
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To: | pgsql-general(at)postgresql(dot)org |
Subject: | Re: Drill-downs and OLAP type data |
Date: | 2011-10-12 09:04:48 |
Message-ID: | CAM6mieKxeqejZVhWSeygeRc4+SaK=6B1+NWXeOxora9TTxb6XA@mail.gmail.com |
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Lists: | pgsql-general |
Hi,
On 12 October 2011 14:50, Anthony Presley <anthony(at)resolution(dot)com> wrote:
> After a few weeks of searching around, we're running into dead-ends on the
> front-end, and the back-end. PG doesn't support OLAP / MDX .... and the GUI
> tools that do this, for the most part, require MDX / OLAP (SPSS and DB2, MS
> SQL Analytics, etc...).
> What's the PG route here? Are there some secrets / tips / tricks / contrib
> modules for handling this?
Our db has very simple star schema and several materialised tables for
aggregates. We need OLAP style queries with OLTP performance :). After
several upgrades we ended up with 16 cores, 80GB of RAM and fast SAN
but performance wasn't good. Meanwhile we evaluated several NoSQL
solutions and several comercial MPP solutions -- and the winner is
Greenplum! (you can get CE version for free -- max two processors (but
unlimited cores) and almost no HA options). AsterData's nCluster has
very nice MapReduce integration but looks quite immature.
I would say that roll-ups/drill-downs/cubes sound obsolete to me :) I
suggest the following tools (list is not sorted by anything)
- RapidMiner (http://rapid-i.com/content/view/181/196/)
- Tableau (http://www.tableausoftware.com/public/gallery)
- AlpineMiner (http://www.alpinedatalabs.com/, http://alpineminer.org/)
- Jasper (http://www.jaspersoft.com/)
- Pentaho (http://www.pentaho.com/)
--
Ondrej Ivanic
(ondrej(dot)ivanic(at)gmail(dot)com)
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