Just did a funding round. In a sign of the times clickhouse used to be an interesting DB product, but is now a "database software that companies can use as they develop AI agents "

<i>Database technology startup ClickHouse Inc. has raised $400 million in a new funding round that values the company at $15 billion — more than double its valuation less than a year ago. </i>

https://www.bloomberg.com/news/articles/2026-01-16/clickhous...

Clickhouse's full announcement is here https://clickhouse.com/blog/clickhouse-raises-400-million-se... and I think another big piece is directly integrating postgres into their ecosystem.

It seems like an expansion play from their team and their end vision as both a platform (clickhouse + postgres) and product (observability) seems to be pretty good combo that fits hand in hand.

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

Interesting headline for a checks notes time series database company.

I'm surprised it's not mentioned yet, but this seems to compliment last year's acquisition of observability tool HyperDX[1] (part of ClickStack[2]) quite well. I'm in the market for a new o11y platform and it seems all vendors are working to add LLM observability one way or the other, if they haven't added it already.

1: https://news.ycombinator.com/item?id=44194082 2: https://clickhouse.com/use-cases/observability

This is part of a bigger consolidation trend, AI hype or not: which general-purpose data vendor gets to store and query all of your observability and business data?

Snowflake acquired Observe last week, AWS made it easy in December to put logs from Cloudwatch in their managed iceberg catalog, and Azure is doing a bunch of interesting stuff with Fabric.

The line between your data lake/analytics vendor and observability vendor is getting blurry.

As a big Clickhouse fan, agent evals are where their product really shines. They're buying into market segment where their product is succeeding so they can vertically integrate and tighten up the feedback loop.

Ah, the painful migration to Clickhouse from v2 to v3 makes sense now https://langfuse.com/self-hosting/upgrade/upgrade-guides/upg...

For those building applications with Langfuse and Clickhouse - do you like these products? I get the odd request to do an AI thing, and my previous experience with LLM wrappers convinced me to stay away from them (Langchain, Llamaindex, Autogen, others). In some cases they were poorly written, and in other ways the march of progress rendered their tooling irrelevant fairly quickly. Are these better?

Congratulations to everyone involved, quite remarkable considering Langfuse was only founded as part of YC 23.

What is the advantage of a specialized llm tracing solution like langfuse vs a complete tracing solution like logfire: https://pydantic.dev/logfire ?

maybe clickhouse can finally make sense of the langfuse documentation

(congrats team! such a joy to see you succeed)

every single day there is an acquisition on here. what's going on in the macro?

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Langfuse has been my favorite LLM observability solution so far. Hopefully this acquisition makes it better, not worse.

SaaS company pivots to AI. Gets funding rebranded as AI company. Buys a company that actually knows it.

It’s still early but I question how much of these SaaS companies will continue. I’d rather connect Claude or whatever to do my task than have to learn a new platform let alone login to it.

I predict it will be Pydantic next to get picked up by someone for logfire and agent framework.... fine as long as all these open source projects stay open source then good for them

Since clickhouse is headquartered in the US that means the langfuse cloud is no longer GDPR compliant.

the "Prompt Management" part of these products always seemed odd. Does anyone use it? Why?

Very sad, for all their marketing around EU, GDPR, privacy and so on. I feel dumb for having fell for it a little.

This is a big reason why there are so few EU tech startups, they get bought out if they're doing well, more and more consolidation in tech, more and more "exits".

how does it benefit for clickhouse?

Does this mean Langfuse will now have better ClickHouse integration?

Clickhouse needs observability models to be more useful to agent run infra