Comment by mentioum

13 hours ago

We've been having some issues with intermittent performance on multi hop queries.

What's your p99 like for multi hops?

9 comments

mentioum

Reply
GeorgeCurtis  13 hours ago

In prod we see p99’s of <10ms ms for warm queries and around 50ms per hop for cold queries.

  • mentioum  12 hours ago

    Hmmm... I'll get in touch. Got an email i can reach out to, there doesn't seem to be one listed on your website?

    I'm more concerned about if the p99s stay consistent when things get spikey.

    dgraph is fine otherwise...

zw17  13 hours ago

If your use case is OLAP based, please check it out PuppyGraph. It’s a graph query engine that sits on top of your Lakehouse (no ETL required). Our benchmark has shown consistently that 10-hop queries across billions of edges in <2 seconds. Our customers including some most data demanding companies like Coinbase, Datadog, Palo Alto Network, Netskope, AMD, etc.

  • mentioum  12 hours ago

    It's not, its actually our prod db with direct user usage - we self host a large dgraph cluster. We have a very large number of people manage their car and car histories with us and host a full replica of the UK MOT Database.

    We're fine with clickhouse and redshift for the OLAP work we do. I've been looking at ParaQuery lately if I really want to speed that up.

    • GeorgeCurtis  12 hours ago

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

      email us: founders@helix-db.com

  • GeorgeCurtis  12 hours ago

    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.