The data platform powering the AI era. Speed, scale, and cost-efficiency - without compromise. Get started today: https://xitter.cf/t.co/RpLdh0f8K3
Bay Area / Amsterdam
Joined January 2017
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ClickHouse retweeted
Really excited about WalShadow. @saisrirampur and the Postgres team at Clickhouse are the best in the business
So exciting to see the power of WalShadow in action! Literally fusing Postgres and ClickHouse together.
The past month has been intense, rigorous POCs, lots of testing, and a few early production customers! The results have been incredibly promising. 🚀
We’re seeing WalShadow replicate hundreds of MB/s from Postgres to ClickHouse with sub-second latency. Something that was previously impossible to achieve!
Here’s one from Anirudh at @physical_int, 350ms vs. 35 seconds! 🤯
A little bittersweet seeing the comparison with PeerDB, but always wanted to do, take Postgres to ClickHouse replication to the next level.
Huge thank you to Anirudh, @mairbek and the Physical Intelligence team for their support since the beginnning. It means a lot to us! ❤️
Stay tuned for more stories. We’re just getting started! 🔥
Trace and evaluate Cursor agents with @langfuse.
Inspect model calls, tool executions, and token usage. Find expensive turns and test instruction changes. ClickHouse powers the analytics behind Langfuse.
Read the guide: clickhouse.com/blog/cursor-a…
Guillermo Rauch (@rauchg) explains how Vercel thinks about ClickHouse as part of its data infrastructure, and why agent-era applications need fast, direct access to data.
Full fireside with Aaron Katz (@ceo_clickhouse), Guillermo Rauch, Tristan Handy (@jthandy), and Lukas Biewald (@l2k) in the comments. ⬇️
A bit of overtime Q&A
and that's a wrap.
Try 26.10 and tell us what is amazing.
Then tell us what is terrible and we will make it amazing.
(as always, I've been @tylerhannan )
Also, if you would rather we run ClickHouse for you instead of running it on your own....there are a number of new amazing features on ClickHouse Cloud.
And now some bonus features...
I won't share them all.
You should watch the recording.
But, as a teaser, the start of this section is that Trino and Kusto dialects are moved into beta!
What else is new in our support for @ApacheIceberg
Parquet VARIANT support, and a new implementation of the unity catalog type.
But that's not all, ClickHouse now applies deletion vectors when reading.
We continue with some features for data lakes.
As a 'native' option, you can use the type: s3_plain_rewritable
Integration with Elasticsearch as a table engine and a table function?
You can read documents from an index as a JSON column. Read-only...for now.
We aren't stopping there.
A new query language for logs! LogsQL (the log query language of VictoriaLogs)
Alexey is now live-demoing usage of XGBoost dictionaries (train a gradient-boosted model at dictionary load)
Want to hear about someone using it already?
Read this - tomalard.github.io/posts/pco…
We are also adding support for the PCO compression codec.
For the right data it can be 15% smaller and 2x faster than DoubleDelta.
