[gyre007]

> Our goal continues to be building the best LLM engineering platform

Interesting headline for a checks notes time series database company.

[michaelmior]

Note that the headline is from Langfuse, not ClickHouse. Reading the announcement from ClickHouse[0], the headline is "ClickHouse welcomes Langfuse: The future of open-source LLM observability". I think the Langfuse team is suggesting that they will be continuing to do the same work within ClickHouse, not that the entire ClickHouse organization has a goal of building the best LLM engineering platform.

[0] https://clickhouse.com/blog/clickhouse-acquires-langfuse-ope...

[dangoodmanUT]

Your notes aren't very good. They're not a time series database company, they're a columnar database company. But yeah the LLM bit is weird, database companies _always_ feel like charlatans when it comes to LLMs.

[hodgesrm]

ClickHouse effectively has a number of personas. Time series is one of them, and ClickHouse has steadily absorbed market share from pure play time series databases over the last few years. Other personas include real-time observability backend (the single biggest use case in my experience) as well as real-time data lake engine. Time series support, column storage, and real-time response are key underlying capabilities. It's quite versatile and fun to use.

Disclosure: I run Altinity, a vendor in this space.

(Update: Disclaimer -> Disclosure. Sigh.)

[vegabook]

Willing to bet most columnar stores are used for time series.

[cs554]

"Berkshire Hathaway Inc. is an American multinational conglomerate holding company" is a weird thing for a textile manufacturer to call itself. Almost like...businesses expand and evolve?

(they've never been a time series database company either lol)

[vibedev]

But this is correct? The article that you read is from Langfuse POV, not Clickhouse.

[wodenokoto]

Language models are time series models.

It’s great when you get this insight as a student of NLP, because suddenly your toolset grows quite a bit.

[Jgrubb]

Could you elaborate? because that sentence made my brow wrinkle with confusion. I have thought to myself before that all business data problems eventually become time series problems. I'd like to understand your point of view on how LLMs fit into that.

[madduci]

Diversification is the keyword

[mrits]

They are closer to an LLM database than a time series database. But they aren't very close to either.

[stingraycharles]

That’s what you get when you raise a lot of VC capital. Just being the best timeseries database is not enough.