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ClickHouse

@ClickHouseDB
ClickHouse is the fastest open-source OLAP database ⚡ Download: clickhouse.com GitHub: clickhou.se/GitHub Slack: clickhouse.com/slack
Bay Area / Amsterdam
clickhouse.com
Joined January 2017
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  • Pinned
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    ClickHouse
    @ClickHouseDB
    Aug 3
    Welcome to ClickHouse, @andy_pavlo 👋 We're launching ClickHouse Labs, a new research group advancing foundational database technology, led by Andy as VP of Database Research. Andy is an award-winning database researcher, professor at Carnegie Mellon University’s Computer
    Andy Pavlo joins ClickHouse to establish ClickHouse Labs
    Andy Pavlo joins ClickHouse to establish ClickHouse Labs | ClickHouse
    From clickhouse.com
  • user avatar
    ClickHouse
    @ClickHouseDB
    2h
    That's a wrap on our ClickHouse Mumbai meetup! 🎉 Huge thanks to everyone who joined us at the IDfy office in Andheri for a Saturday morning packed with real production stories - from data lakes to lightning-fast query layers. A big shoutout to our speakers: Vishal Dubey (CTO,
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  • user avatar
    ClickHouse
    @ClickHouseDB
    9h
    We shipped correlated subquery pushdown, a rebuilt plain-C driver, and a much longer aggregate list in pg_clickhouse v0.10.0. 16 of 22 TPC-H queries now push down in full, and Q17 dropped from 32.7 seconds to 37 milliseconds.
    What's new in pg_clickhouse v0.10.0: Subqueries, TPC-H Speedups, C Driver, and Aggregates
    What's new in pg_clickhouse v0.10.0: Subqueries, TPC-H Speedups, C Driver, and Aggregates |...
    From clickhouse.com
  • user avatar
    ClickHouse
    @ClickHouseDB
    12h
    Generic OpenTelemetry SDKs weren’t built for constrained devices, unreliable networks, or long mobile sessions. We’ve teamed up with @bitdriftio to pair their purpose-built mobile capture with ClickHouse-powered storage, linking mobile sessions to backend traces.
    bitdrift brings ClickHouse-powered mobile observability to ClickStack
    bitdrift brings ClickHouse-powered mobile observability to ClickStack | ClickHouse
    From clickhouse.com
  • user avatar
    ClickHouse
    @ClickHouseDB
    21h
    See how @musinsaofficial, Korea’s largest fashion platform, scaled their audience engine by migrating from self-hosted ClickHouse to ClickHouse Cloud, cutting storage costs 86.5% and compute costs up to 71.4% 👇
    How Musinsa scaled its audience engine with ClickHouse Cloud and reduced TCO by 71.4%
    How Musinsa scaled its audience engine with ClickHouse Cloud and reduced TCO by 71.4% | ClickHouse
    From clickhouse.com

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