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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Discounts for GraphConnect 2017 in NYC - Graph Story Newsletter

Quick rundown from our September 7th newsletter:

- Discounts for GraphConnect in New York
- yeah, we're kinda proud of our customer service
- Graph Databases in the Enterprise: Graph-based Search

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Changes at Graph Story - Graph Story Newsletter

Quick rundown from our August 24th newsletter:

- Learning To Think In Graphs
- Graph Databases in the Enterprise: Graph-based Search

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