GeorgeCurtis

No, you can run it in-memory or on-disk too

OLAP queries, deep multi-hops where latency is a priority.

As long as the sub-graph you're trying to hop is cached, then there's no problem or latency issues. However, if you need to do a deep hop query, where all those nodes and edges are in cold storage, each hop costs ~50ms. So a 10-hop would take ~0.5 seconds.

Again though, we find most people are using us for agentic workloads, so even this worst case scenario the LLMs make up the majority of the latency.

puppy graph is not open source

Can't imagine why they'd be hesitant, Helix is awesome, we've never had any data loss issues, and are completely ACID.

I'd encourage them to start a local instance with claude/codex to build a mini project and see what it's like.

Lapse of communication. For now as in you’ll be able to host it without reading the source code.

Soon you’ll be able to host it yourself AND have access to the source code

You can definitely host it for free locally for now.

We aim to launch our GA cloud at the end of this month, which will be much more affordable.

Sure! You can email me personally at [email protected]

We plan on launching end of month.

tpuffer is a vector/fts database. Surreal is a bit of an "everything database".

We're a graph database with vector and FTS capabilities. Our vector and FTS benchmarks are comparable with tpuffer, but you would primarily use us for building whole applications, knowledge graphs, or AI memory/retrieval. Anything that is relationship intense.

Let me know if this properly answers your question

yooo this is awesome. Didn't even realise :)

This sounds like a perfect usecase. Would love to learn more and see if we can help!

email us: [email protected]

PuppyGraph is a good fit for OLAP for sure.

We’re just two young founders sharing what we’ve been building, so I’ll take the drive-by competitor plug as a compliment :)

Definitely a different focus though. Helix is OLTP, built for operational graph + vector workloads, especially apps/agent memory where low-latency traversals and writes are concerned.