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I have actually started with using neo4j as a primary store and then moved to using it as a secondary store next to postgres. I wrote some stuff up here: http://nambrot.com/posts/14-credport-technical-post-mortem/

It led to itself as neo4j was only useful for parts of our queries and fitting everything into neo4j was just hassle when most of our data was relational.




From your post: "The biggest issue was that we had data in the graph, that just didn’t feel right in the graph instead of a relational DB." -- What exactly was the problem other than managing complexity? I read through your posts and I didn't see any mention to some of the technical aspects of your issues with Neo4j. Was your data just so large that going the relational table route gave you a better understanding of this complexity?


i had the same history with neo4j




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