topic How does ArcGIS provide high scale access to spatial data? in ArcGIS Online Questions https://community.esri.com/t5/arcgis-online-questions/how-does-arcgis-provide-high-scale-access-to/m-p/370859#M18666 <HTML><HEAD></HEAD><BODY><SPAN>An increasing demand for geographic data imposes an immense amount of spatial queries on data providers like ArcGIS. In a cloud-based environment like ArcGIS Online scaling with increasing workload of spatial queries is absolutely essential. During a discussion with fellows, we asked ourselves how ArcGIS or developers using ArcGIS solve this problem.&nbsp; We know that main players in the web (e.g. Facebook) use distributed memory caching systems such as Memcached to cache frequently accessed data in a key-value fashion. However, for spatial/geographic data&nbsp; the key-value paradigm is insufficient or at least unhandy, as many location-based services or applications require data which is located in certain ranges or regions.</SPAN><BR /><BR /><SPAN>So we came up with the following ideas/speculations:</SPAN><BR /><BR /><SPAN>(a) ArcGIS might use a distributed caching system similar to Memcached available, which supports spatial queries out of the box</SPAN><BR /><BR /><SPAN>(b) The people ArcGIS might use standard key-value systems (such as Memcached, or Redis) and manually remap query ranges to keys via space-filling curves or other spatial re-mapping techniques.</SPAN><BR /><BR /><SPAN>(c) They provide scalability by a relational database with spatial features which is extensively partitioned and replicated among several db instances. </SPAN><BR /><BR /><SPAN>(d) They use a NoSQL database with spatial support such as MongoDB or GeoCouch.</SPAN><BR /><BR /><SPAN>We would greatly appreciate any insights on this topic.</SPAN></BODY></HTML> Thu, 09 May 2013 06:29:01 GMT CarlosLuebbe 2013-05-09T06:29:01Z How does ArcGIS provide high scale access to spatial data? https://community.esri.com/t5/arcgis-online-questions/how-does-arcgis-provide-high-scale-access-to/m-p/370859#M18666 <HTML><HEAD></HEAD><BODY><SPAN>An increasing demand for geographic data imposes an immense amount of spatial queries on data providers like ArcGIS. In a cloud-based environment like ArcGIS Online scaling with increasing workload of spatial queries is absolutely essential. During a discussion with fellows, we asked ourselves how ArcGIS or developers using ArcGIS solve this problem.&nbsp; We know that main players in the web (e.g. Facebook) use distributed memory caching systems such as Memcached to cache frequently accessed data in a key-value fashion. However, for spatial/geographic data&nbsp; the key-value paradigm is insufficient or at least unhandy, as many location-based services or applications require data which is located in certain ranges or regions.</SPAN><BR /><BR /><SPAN>So we came up with the following ideas/speculations:</SPAN><BR /><BR /><SPAN>(a) ArcGIS might use a distributed caching system similar to Memcached available, which supports spatial queries out of the box</SPAN><BR /><BR /><SPAN>(b) The people ArcGIS might use standard key-value systems (such as Memcached, or Redis) and manually remap query ranges to keys via space-filling curves or other spatial re-mapping techniques.</SPAN><BR /><BR /><SPAN>(c) They provide scalability by a relational database with spatial features which is extensively partitioned and replicated among several db instances. </SPAN><BR /><BR /><SPAN>(d) They use a NoSQL database with spatial support such as MongoDB or GeoCouch.</SPAN><BR /><BR /><SPAN>We would greatly appreciate any insights on this topic.</SPAN></BODY></HTML> Thu, 09 May 2013 06:29:01 GMT https://community.esri.com/t5/arcgis-online-questions/how-does-arcgis-provide-high-scale-access-to/m-p/370859#M18666 CarlosLuebbe 2013-05-09T06:29:01Z