[OSGeo-Discuss] any spatial databases for high performance geo-computing

[Peter Baumann]

you might look at rasdaman running on top of PostgreSQL (www.rasdaman.org). 
Supports n-D arrays + an SQL-style array query language.
-Peter



On 05/20/2014 12:04 AM, 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
> _______________________________________________
> Discuss mailing list
> Discuss at lists.osgeo.org
> http://lists.osgeo.org/mailman/listinfo/discuss

-- 
Dr. Peter Baumann
  - Professor of Computer Science, Jacobs University Bremen
    www.faculty.jacobs-university.de/pbaumann
    mail: p.baumann at jacobs-university.de
    tel: +49-421-200-3178, fax: +49-421-200-493178
  - Executive Director, rasdaman GmbH Bremen (HRB 26793)
    www.rasdaman.com, mail: baumann at rasdaman.com
    tel: 0800-rasdaman, fax: 0800-rasdafax, mobile: +49-173-5837882
"Si forte in alienas manus oberraverit hec peregrina epistola incertis ventis dimissa, sed Deo commendata, precamur ut ei reddatur cui soli destinata, nec preripiat quisquam non sibi parata." (mail disclaimer, AD 1083)