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@ClickHouseDB

ClickHouse

@ClickHouseDB
The data platform powering the AI era. Speed, scale, and cost-efficiency - without compromise. Get started today: clickhouse.com/cloud
Bay Area / Amsterdam
clickhouse.com
Joined January 2017
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  • Pinned
    @ClickHouseDB
    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
    97
  • @ClickHouseDB
    ClickHouse
    @ClickHouseDB
    17h
    The August ClickPy report is out: overall downloads cooled over summer time, PyPI recorded 176.6B downloads in August 2026, down 4.5% from July. But MCP and AI-agent tooling are still accelerating. 🤖 Notable packages this month: 🔌 mcp-types: 11.7M → 61.3M (+425%), MCP
    2
  • @ClickHouseDB
    ClickHouse
    @ClickHouseDB
    20h
    Your agent sends text. ClickHouse stores and ranks vectors. What handles the bit in between? Google’s MCP Toolbox embeds documents on insert and queries at search time, then passes the vectors to ClickHouse for storage and ranking. See how it works:
    How MCP Toolbox turns agent text into ClickHouse vectors
    How MCP Toolbox turns agent text into ClickHouse vectors | ClickHouse
    From clickhouse.com
    2
  • @ClickHouseDB
    ClickHouse
    @ClickHouseDB
    Sep 7
    A reminder that you can run your own Python inside ClickHouse Cloud with executable UDFs. clickhou.se/4gjK5Zt Package a function as a zip, upload it, and call it from SQL, even in materialized views. One example scores ~6B trade ticks for anomalies inline, no model
    Executable UDFs are now in public beta on ClickHouse Cloud
    Executable UDFs are now in public beta on ClickHouse Cloud | ClickHouse
    From clickhouse.com
    1
  • @ClickHouseDB
    ClickHouse
    @ClickHouseDB
    Sep 6
    The Xin dynasty began in the year 9, until July too early for a ClickHouse timestamp. 🏛️ ClickHouse 26.7 widens DateTime64 from 1900–2299 to 0000–9999. Around 7,000 of 20,000 Wikipedia events were previously too early to store.
    ClickHouse now supports years 0000–9999
    ClickHouse now supports years 0000–9999 | ClickHouse
    From clickhouse.com
    1
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