I stopped eating burritos from a major chain a while ago because I didn’t want to die, but they pulled me back in with their brown rice and delicious barbacoa. As we learn below, I chew a little more confidently now, knowing graphs are watching out for my food safety. Also you should buy a Graph Story instance now.

The benefits of graph databases in relation to supply chain

This headline sounds like some business nerd mumbo jumbo, but it has real benefits when youโ€™re getting your burrito on and donโ€™t want to get food poisoning. Chris Morrison, CEO at Transparency One, writes about the need for food brangs to track supply chains, so they can know about potential disruptions or safety issues:

Graph database technology presented itself as a viable solution. Thatโ€™s because graph databases recommend themselves as being uniquely well qualified at handling large, highly-connected volumes of data at scale.

There are a number of graph databases available, and as an example the Neo Technologyโ€™s Neo4j, which took 3 months to build, was tested with dummy data for several thousand products, and there were absolutely no performance issues.

As for the search response time, results were sent back within seconds.

Read the whole thing.


Weโ€™ve mentioned this before when talking about William Lyonโ€™s awesome blog posts, but neovis.js is a promising JavaScript library that focuses on visualizing Neo4j data. The project could probably use some assistance from motivated individuals.

Neo4j With Scala: Migrate Data From Other Database to Neo4j

Part of the Neo4j With Scala blog series, this post focuses on importing data info Neo4j from PostgreSQL, MySQL, Cassandra, and Oracle. All of this is accomplished with the awesome APOC plugin, which we are happy to install on any Graph Story Neo4j instances.

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Are you doing something cool with graphs at Graph Story?ย Let us know!ย We want to talk about what our customers are doing here in the newsletter.

Until next week,

Ed Finkler
CTO,ย Graph Story