| ▲ | natdempk 4 hours ago | |||||||
Serious question: are there any actually good and useful graph databases that people would trust in production at reasonable scale and are available as a vendor or as open source? eg. not Meta's TAO | ||||||||
| ▲ | gdotv 34 minutes ago | parent | next [-] | |||||||
plenty of those - I've had to work with dozens of different graph databases integrating them on https://gdotv.com, save for maybe 1-2 exceptions in the list of supported databases on our website, they're all production ready and either backed by a vendor or open-source (or sometimes both, e.g. Apache AGE for Azure PostgreSQL). There are some technologies that have been around for a long time but really flying under the radar, despite being used a lot in enterprise (e.g. JanusGraph). | ||||||||
| ▲ | cjlm 4 hours ago | parent | prev | next [-] | |||||||
Serious answer: limiting to just Open Source: JanusGraph, DGraph, Apache AGE, HugeGraph, MemGraph and ArcadeDB all meet that criteria. | ||||||||
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| ▲ | szarnyasg 3 hours ago | parent | prev | next [-] | |||||||
That's a difficult question and I would like to avoid giving a direct answer (because I co-lead a nonprofit benchmarking graph databases) but even knowing what you need for a graph database can be a tricky decision. See my FOSDEM 2025 talk, where I tried to make sense of the field: https://archive.fosdem.org/2025/schedule/event/fosdem-2025-5... | ||||||||
| ▲ | adsharma 3 hours ago | parent | prev | next [-] | |||||||
What people perceive as "Facebook production graph" is not just TAO. There is an ecosystem around it and I wrote one piece of it. Full history here: https://www.linkedin.com/pulse/brief-history-graphs-facebook... | ||||||||
| ▲ | pphysch 4 hours ago | parent | prev [-] | |||||||
Yeah: Postgres, etc. When you actually need to run graph algorithms against your relational data, you export the subset of that data into something like Grafeo (embedded mode is a big plus here) and run your analysis. | ||||||||
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