Looks like Andy's here, so if you see this - please also try to convince ClickHouse to consider funding DB research in academia. With all the money being poured into AI and the chaos in government funding, there is almost nothing for DB research anymore.
Always enjoyed his lecture series from CMU, hopefully those continue in a sponsored format from Clickhouse.
Congrats, that's incredible news. Watched apavlo@'s lectures while studying in the university and finished my bachelor thesis implementing features and doing research at ClickHouse. Surprised to see these worlds being together now!
Clickhouse just became the hottest talent-attraction on the market.
Congrats Andy, hope you enjoy the ride =)
Hi Andy, that’s very cool news. Will you be at the HPTS workshop in October?
That's great news for Clickhouse and for Andy I guess, they are both obsessed with databases and are at the cutting edge.
Hope it goes well for you Andy. Have loved your lectures over the years.
Best of luck!
Congrats! Andy is incredible!
Yooo is this the CMU funny guy?
> The goal of ClickHouse Labs is to establish a best-in-class industry research organization focused on databases. It will not operate as an isolated research organization that throws ideas over the wall to engineering. Instead, we will work closely with ClickHouse engineers, customers, collaborators, and industry partners to develop and disseminate new ideas that keep ClickHouse at the bleeding edge.
This is cool, though bittersweet that the public research infrastructure (universities) is not really configured to support this kind of high-impact research any more.
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Clickhouse Labs is a research lab for ClickHouse’s engineers and their db product?
Whatever floats your boat. Sounds like you just work as an engineer at a db company
> ClickHouse had features that at the time were only found in a handful of closed-source, commercial analytical DBMSs. For example, ClickHouse was written in C++ and supported vectorized query execution using SIMD in 2016. Most prominent open-source analytical DBMSs in 2016 were JVM-based and did not support SIMD optimizations until years later.
Performance is a feature. "Written in C++" is a strange idea of a feature.
I'm very curious about the convergence of the best in class fast OLAP products (StarRocks, ClickHouse) with Trino. It sounds like everybody is going for decoupled compute/storage, using S3 or similar as the storage layer, and thus forgoing colocated joins (ok I know ClickHouse joins suck)...
So what does this mean for ingestion (and indexing)? Iceberg V3? Paimon? Bespoke ingestion through the DB engine to do the indexing?