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    DuckDB logo

    DuckDB

    In-process analytical database (open-source).

    NLNetherlands·Founded 2021
    Headquarters
    🇳🇱Netherlands
    Data Hosting
    Customer-defined
    Structure
    Independent
    Compliance
    ▣GDPR◆EU HQ▦EU Data

    DuckDB key facts

    Last updated
    Legal entity
    Stichting DuckDB Foundation
    Headquarters
    Netherlands (NL)
    Ownership
    Independent
    Founded
    2021
    Data hosting
    Customer-defined
    Infrastructure
    Self-hosted (Embeddable library)
    Deployment
    Self-hosted
    Open source
    Yes
    US Cloud Act exposure
    Low (no US parent)
    Replaces
    SQLite (for analytics), ClickHouse, MonetDB, Apache Doris, Snowflake (for local/embedded workloads)

    About DuckDB

    DuckDB is a high-performance, open-source analytical database system. Unlike traditional database servers, it operates 'in-process,' meaning it is embedded within the host application (similar to SQLite but optimized for OLAP). It is governed by the Stichting DuckDB Foundation, a Dutch non-profit based in Amsterdam, ensuring the project remains independent and focused on its research-led origins at the Centrum Wiskunde & Informatica (CWI). The system is specifically engineered for analytical workloads, utilizing a vectorized query processing engine and a columnar storage format. This architecture allows it to process large datasets with extreme efficiency on local machines or within cloud functions without the overhead of a networked database server. Because it is a local library, users maintain full control over their data, making it a preferred choice for data scientists and developers building embedded analytics.

    Alternative to

    SQLite (for analytics)ClickHouseMonetDBApache DorisSnowflake (for local/embedded workloads)

    Target Segments

    SMBEnterpriseEducation

    Deployment Options

    Self-hosted

    Hosting & Security

    Infrastructure

    Self-hosted (Embeddable library)

    Key Features

    In-process execution (no server required)
    Columnar storage engine
    Vectorized query execution engine
    High-performance row-based sorting
    Runtime-extensible parsers using PEG
    Support for complex analytical SQL queries
    Deep integration with Python and R

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