<html><body><div style="color:#000; background-color:#fff; font-family:times new roman, new york, times, serif;font-size:10pt"><div><span>Tools like Hadoop, Neteeza & Teradata support very large databases & are fully spatially aware, generally through custom re-implementations of FOSS tools like GDAL.</span></div><div style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: times new roman,new york,times,serif; background-color: transparent; font-style: normal;"><br><span></span></div><div class="yui_3_7_2_38_1400546890208_54" style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: times new roman,new york,times,serif; background-color: transparent; font-style: normal;"><span><a href="http://www10.giscafe.com/nbc/articles/view_article.php?articleid=590803">http://www10.giscafe.com/nbc/articles/view_article.php?articleid=590803</a></span></div><div class="yui_3_7_2_38_1400546890208_54" style="color: rgb(0, 0, 0); font-size: 13.3333px;
font-family: times new roman,new york,times,serif; background-color: transparent; font-style: normal;"><span><a href="http://www.teradata.com.au/products-and-services/teradata-geospatial">http://www.teradata.com.au/products-and-services/teradata-geospatial</a></span></div><div class="yui_3_7_2_38_1400546890208_54" style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: times new roman,new york,times,serif; background-color: transparent; font-style: normal;"><br><span></span></div><div class="yui_3_7_2_38_1400546890208_54" style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: times new roman,new york,times,serif; background-color: transparent; font-style: normal;"><span>or in the FOSS arena: <br></span></div><div class="yui_3_7_2_38_1400546890208_54" style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: times new roman,new york,times,serif; background-color: transparent; font-style: normal;"><span><a
href="http://spatialhadoop.cs.umn.edu/">http://spatialhadoop.cs.umn.edu/</a></span></div><div class="yui_3_7_2_38_1400546890208_54" style="color: rgb(0, 0, 0); font-size: 13.3333px; font-family: times new roman,new york,times,serif; background-color: transparent; font-style: normal;"><br><span></span></div><div>Brent Wood<br></div> <div style="font-family: times new roman, new york, times, serif; font-size: 10pt;"> <div style="font-family: times new roman, new york, times, serif; font-size: 12pt;"> <div dir="ltr"> <hr size="1"> <font face="Arial" size="2"> <br> </font> </div> <div class="y_msg_container"><br>On 05/19/2014 03:04 PM, Zhang, Shuai wrote:<br>> Hi All,<br>> <br>> sorry for asking, but what do you think is a good choice of spatial database for high performance geo-computing?<br>> <br>> 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?<br>> <br>> 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.<br>> <br>> so any suggestions for projects aiming to build a distributed and parallel spatial database running on a cluster?<br>> <br>> Thanks,<br>> shuai<br><br><br></div> </div> </div> </div></body></html>