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.

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.

Does it work only on S3?

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.

Why do you say "for now"?

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

This was a TEMPORARY decision we made, and I wrote a bit about why we did this here: https://x.com/georgecurtiss/status/2060043184059912470

We’re 100% committed to going back to open-source on an Apache 2.0 license as soon as possible. In the meantime, you can continue to deploy us completely for free, however you like, using the compiled docker container.

Unfortunately it's not possible to read this without an X account.

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

it does, think I misunderstood your value prop. best of luck -definitely a real usecase.

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: founders@helix-db.com

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.

And is open source.

where is puppygraph's source code?

puppy graph is not open source

We don't support cypher or gremlin. We can

You can query HelixDB using JSON or directly in your programming language of choice by using our Rust, TypeScript, Go or Python SDKs. We’ve found AI is very good at working with the SDKs and JSON itself to query, making the development experience much better than before: https://docs.helix-db.com/database/querying