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Comment by danpalmer | Hacker News Reader

Nice to see more triple store implementations. What’s the industry take up of data stores like this? It always struck me as much more academic and not used as much in industry. I saw a SaaS triple store a while ago but it seemed to disappear or never really take off.

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Nubank recently raised $400M at a $10B valuation and they depend on Datomic [1] heavily for their core systems [2].

The RDF database marketplace is very established [3], and the likes of MarkLogic, DB2, and Oracle have clearly encountered profitable reasons to add RDF support. I believe RDF has good traction in knowledge-intensive industry domains such as clinical research and life sciences.

Disclosure: I work on Crux [4] which adds bitemporal versioning and eviction to a document->triplestore model running on top of Kafka.

[1] https://www.datomic.com/customers.html

[2] https://www.datomic.com/nubanks-story.html

[3] https://en.wikipedia.org/wiki/Comparison_of_triplestores

[4] https://github.com/juxt/crux

at topsy almost a decade ago, we had a triple store written in perl and backed with innodb for storing our copy of twitter.

that 80 node cluster of dl380s was a beast to operate, but damn was it spiffy when it was working well

rip ux8

+1 I got a lot of mileage out of the triple model when working with social media data. You just don’t know what data patterns you will find when you start looking, and need to support generic queries.

Happy Datomic user here – simple, flexible, powerful. I've recently heard good things about https://www.stardog.com/ which is a real triple store (Datomic adds a time dimension)

This data stores are the ONLY way to create decent chat bots (ones that know what they are talking about and can engage in a conversations).

eBay actually has an open source distributed triple store they released recently: https://github.com/eBay/akutan

Seems to me they'd be using it internally.

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