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DuckDB is a fast in-process analytical database

DuckDB supports a feature-rich SQL dialect complemented with deep integrations into client APIs

Installation Documentation
  • SQL
  • Python
  • R
  • Java
  • Node.js
-- Get the top-3 busiest train stations
SELECT station_name, count(*) AS num_services
FROM train_services
GROUP BY ALL
ORDER BY num_services DESC
LIMIT 3;
Live demo

DuckDB at a glance

Simple

DuckDB is easy to install and deploy. It has zero external dependencies and runs in-process in its host application or as a single binary.

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Portable

DuckDB runs on Linux, macOS, Windows, and all popular hardware architectures. It has idiomatic client APIs for major programming languages.

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Feature-rich

DuckDB offers a rich SQL dialect. It can read and write file formats such as CSV, Parquet, and JSON, to and from the local file system and remote endpoints such as S3 buckets.

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Fast

DuckDB runs analytical queries at blazing speed thanks to its columnar engine, which supports parallel execution and can process larger-than-memory workloads.

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Extensible

DuckDB is extensible by third-party features such as new data types, functions, file formats and new SQL syntax.

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Free

DuckDB and its core extensions are open-source under the permissive MIT License.

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Installation

DuckDB is seamlessly integrated with major programming languages. It can be installed in less than 20 seconds on most platforms.

More installation options
  • Command line
  • Python
  • R
  • Java
  • Node.js
  • ODBC

Latest release: DuckDB 0.10.0 | System detected: