Wow! Glad it wasn't just me. I think there's a big opportunity for work / data sharing in here somewhere.https://twitter.com/generativist/status/1172188521085321217 …
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Replying to @generativist
is there a use case where graph dbs are significantly faster or more expressive than postgresql? i've often wondered where it fits.
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Replying to @mwotton
That's a good question. I'm too new to graph databases to answer right now. It's still too much fun novelty for me to judge coherently.
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Replying to @generativist @mwotton
Yes, and I deliberately mirrored a set of graph relations from Postgres to Neo4J for a production load to make predicates across the graph work for a production workload. Transitive closure was not enough at all.
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Neo4J helped respond to complex queries against food ontologies and other relations with relatively full predicate logic and Kleene star operators across the graph. I needed this so people could match recipe ingredients to grocery shopping results, in bulk for ranking.
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The product died but I built something really useful that died inside it. Postgres, Elasticsearch, and Neo4J queried simultaneously to do some really complex problem solving live for household management.
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Replying to @BrianTRice @mwotton
I'm toying (simultaneously) with
@JanusGraph / Cassandra / ElasticSearch and@dgraphlabs right now just to orient myself as quickly as possible. Need to look more at@neo4j, too.2 replies 0 retweets 2 likes -
Replying to @generativist @BrianTRice and
I'm actually in the process of researching using Amazon Neptune for a data ontology. I guess that's a graph database for network analysis, right? I _think_ I want to layer an RDF n-triple-store over it. I would love thoughts if y'all have 'em!
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I think you still know a lot more than me at this point, Myk. But we can chat about it on http://habermas.loopbreakers.com SOON!
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