Tools like Hadoop, Neteeza & Teradata support very large databases & are fully
spatially aware, generally through custom re-implementations of FOSS tools like
GDAL.
http://www10.giscafe.com/nbc/articles/view_article.php?articleid=590803
http://www.teradata.com.au/products-and-services/teradata-geospatial
or in the FOSS arena:
http://spatialhadoop.cs.umn.edu/
Brent Wood
________________________________
On 05/19/2014 03:04 PM, Zhang, Shuai wrote:
> Hi All,
>
> sorry for asking, but what do you think is a good choice of spatial database
> for high performance geo-computing?
>
> In some high performance computing scenarios, data size tends to be huge, and
> a bunch of computer clusters work together with high throughput and tense
> computation. sometimes we use parallel filesystems like lustre, gfs, hdfs to
> handle specific problems but what if a spatial database?
>
> I explored some of postgresql cluster solutions, such as streaming
> replication, pgpool, slony and so on. I think most of them are designed for
> failover, and they might not be able to stand up with the huge data size and
> high performance demands. the case is quite alike in oracle and db2 spatial,
> i think.
>
> so any suggestions for projects aiming to build a distributed and parallel
> spatial database running on a cluster?
>
> Thanks,
> shuai
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