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
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--
Dr. Peter Baumann
- Professor of Computer Science, Jacobs University Bremen
www.faculty.jacobs-university.de/pbaumann
mail: [email protected]
tel: +49-421-200-3178, fax: +49-421-200-493178
- Executive Director, rasdaman GmbH Bremen (HRB 26793)
www.rasdaman.com, mail: [email protected]
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)
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