Making Location Analysis Easier With Graph Databases

Data tools like ElasticSearch or MongoDB have pretty elegant ways to do simple location, or geospatial, searches, e.g. show me a list of “X” things within “Y” distance of me.

However, if you use those tools it’s going to be much harder to connect points to varied kinds of related data. Simple searches using Elastic Search, for example, are tied to a single object type. Graphs make it easy or at least much easier to connect MULTIPLE types of objects to a geospatial point and make updates on all of those objects easier as well.

If you’re using Neo4j and the spatial plugin (or you want to), then I’ve got a simple way to add US-based zip codes as nodes for you to start using TODAY. Seriously, this will save you time if you're doing any type of work around US based searches on a map.

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An Elephant Never Forgets. Mostly

Remember those ads for Elephant Memory Systems floppy disks, with the tag line “Elephant never forgets?” Well I’m no elephant, because I was so busy rocking out at DevSpaceConf that I forgot to make a newsletter. This one will just have to be TWICE AS GOOD!

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