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# Awesome DuckDB [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) 



> A curated list of awesome DuckDB libraries, tools and resources.



[DuckDB](https://duckdb.org/) is an analytical in-process SQL database management system.



DuckDB 1.2.0 was released on 2025-02-05: see the [announcement blog post](https://duckdb.org/2025/02/05/announcing-duckdb-120).



## Chat with this page



You can chat with this page's content on [HuggingChat](https://hf.co/chat/assistant/662583ebe039fc836ce74dee).



## Contents



- [Chat with this page](#chat-with-this-page)

- [Resources](#resources)

- [Installers](#installers)

- [Newsletters](#newsletters)

- [Logos and Icons](#logos-and-icons)

- [Client APIs](#client-apis)

- [Tools Powered by DuckDB](#tools-powered-by-duckdb)

- [Backends](#backends)

- [Libraries Powered by DuckDB](#libraries-powered-by-duckdb)

- [DuckDB Clients and UIs](#duckdb-clients-and-uis)

  - [Web Clients (WebAssembly)](#web-clients-webassembly)

- [SQL Clients and IDE that Support DuckDB](#sql-clients-and-ide-that-support-duckdb)

- [Projects Powered by DuckDB](#projects-powered-by-duckdb)

- [Integrations](#integrations)

- [Client-Server Setups](#client-server-setups)

- [Extensions](#extensions)

  - [Official Extensions](#official-extensions)

  - [Community Extensions](#community-extensions)

  - [Other Extensions](#other-extensions)

  - [Extension Statistics](#extension-statistics)

- [Media](#media)

  - [Talks](#talks)

  - [Podcasts](#podcasts)

  - [Blog Posts](#blog-posts)

  - [Books](#books)

- [Contribute](#contribute)



## Resources



- [Official documentation](https://duckdb.org/docs/) - Official DuckDB documentation.

  - [Official blog](https://duckdb.org/news/) - Official DuckDB blog.

  - [DuckDB RSS feed](https://duckdb.org/feed.xml) - Feed for the official DuckDB blog.

  - [DuckDB clients](https://duckdb.org/docs/clients/overview) - Client APIs for DuckDB.

  - [DuckDB documentation PDF](https://duckdb.org/duckdb-docs.pdf) - The DuckDB documentation as a single PDF file.

  - [DuckDB documentation MD](https://duckdb.org/duckdb-docs.md) - The DuckDB documentation as a single Markdown file.

- [docker-duckdb](https://github.com/davidgasquez/docker-duckdb) - Docker image for DuckDB CLI.

- [DuckDB setup](https://github.com/marketplace/actions/duckdb-setup) - GitHub Action to install DuckDB in CI.

- [Serverless DuckDB over S3](https://github.com/BauplanLabs/quack-reduce/) - Running DuckDB over a data lake on S3 using lambda.

- [DuckDB snippets](https://duckdbsnippets.com/) - Collection of snippets curated by MotherDuck.

- [DuckDB tldr page](https://tldr.inbrowser.app/pages/common/duckdb) - DuckDB's entry in [tldr pages](https://tldr.sh/), available in CLI via the `tldr duckdb` command.

- [DuckDB AWS Lambda layer](https://github.com/tobilg/duckdb-nodejs-layer) - Run DuckDB in AWS Lambda functions.

- [Compatible DuckDB extensions for AWS Lambda](https://extensions.quacking.cloud/) - Extensions specifically compiled for the AWS Lambda runtime (GLIBC 2.26).

- [Serverless DuckDB as API](https://github.com/tobilg/serverless-duckdb) - Use DuckDB as API with Amazon API Gateway and AWS Lambda.

- [Serverless Parquet Repartitioner](https://github.com/tobilg/serverless-parquet-repartitioner) - Use DuckDB to repartition data in S3-based Data Lakes.

- [Observable notebooks](https://observablehq.com/search?query=duckdb&sort=created&direction=desc&useES=true) - Notebooks using DuckDB on the Observable data visualization platform.

- [duckdb-nf](https://github.com/edmundmiller/duckdb-nf) - Example uses of DuckDB with Nextflow.

- [DuckERD CLI](https://github.com/tobilg/duckerd) – A CLI tool to create an ER Diagram from DuckDB database files.

- [SQLNotebook](https://www.timestored.com/sqlnotebook/) - SQL notebooks by TimerStored powered by DuckDB.

- [DuckDB execution plan visualizer](https://db.cs.uni-tuebingen.de/explain/) - Visualizing and understanding DuckDB EXPLAIN plans made easy.



## Installers



- [Official installation page](https://duckdb.org/docs/installation/)

- [Brew formula](https://formulae.brew.sh/formula/duckdb)

- Third-party installation options. Note: these are not maintained by the core DuckDB team – proceed with caution.

    - [DuckDB version manager (`duckman`)](https://github.com/NiclasHaderer/duckdb-version-manager) – Cross-platform installer and version manager for DuckDB.

    - [Snap package](https://github.com/habedi/duckdb-snap) - Snap package of DuckDB, e.g., for Ubuntu Linux.

    - [Chocolatey packages](https://community.chocolatey.org/packages/duckdb) - Chocolatey package for Windows.



## Newsletters



- [DuckDB Newsletter](https://motherduck.com/duckdb-news/) - Monthly newsletter by MotherDuck.

- [Learn DuckDB by example](https://learningduckdb.com/) - Newsletter by Tobias Müller.



## Logos and Icons



- [Logos](https://duckdb.org/faq#where-do-i-find-the-duckdb-logo) - DuckDB logos.

- [Iconify](https://icon-sets.iconify.design/simple-icons/duckdb/) - Monochrome DuckDB icon in Iconify.



## Client APIs



- [C](https://duckdb.org/docs/clients/c/overview)

- [C++](https://duckdb.org/docs/clients/cpp)

- [CLI](https://duckdb.org/docs/clients/cli/overview)

- [Go](https://github.com/marcboeker/go-duckdb)

- [Julia](https://duckdb.org/docs/clients/julia)

- [Node.js](https://duckdb.org/docs/clients/nodejs/overview)

- [Python](https://duckdb.org/docs/clients/python/overview)

- [R](https://duckdb.org/docs/clients/r)

- [Ruby](https://github.com/suketa/ruby-duckdb)

- [Rust](https://github.com/duckdb/duckdb-rs)

- [Swift](https://duckdb.org/docs/clients/swift)

- [TypeScript](https://www.npmjs.com/package/duckdb-async)

- [WebAssembly (Wasm)](https://duckdb.org/docs/clients/wasm/overview)

- [ADBC](https://duckdb.org/docs/clients/adbc)

- [ODBC](https://duckdb.org/docs/clients/odbc/overview)

- [.NET](https://github.com/Giorgi/DuckDB.NET/)

- [Common Lisp](https://github.com/ak-coram/cl-duckdb)

- [PowerShell](https://github.com/dfinke/PSDuckDB)

- [Dart](https://github.com/TigerEyeLabs/duckdb-dart)

- [PHP](https://github.com/satur-io/duckdb-php)



## Tools Powered by DuckDB



- [Rill Data](https://github.com/rilldata/rill) - Tool for effortlessly transforming data sets into powerful, opinionated dashboards using SQL.

- [Ibis Project](https://ibis-project.org/) - A DataFrame API for interacting with DuckDB (and other compute engines).

- [Boiling Data](https://boilingdata.com/) - Serverless data analytics overlay on top of S3 Data Lakes.

- [Hex Dataframe SQL](https://learn.hex.tech/docs/explore-data/cells/sql-cells/sql-cells-introduction) - Hex's Dataframe SQL cells are powered by DuckDB.

- [Mode](https://mode.com/blog/how-we-switched-in-memory-data-engine-to-duck-db-to-boost-visual-data-exploration-speed/) - Mode uses DuckDB for their in-memory data engine.

- [VulcanSQL](https://vulcansql.com/) - DuckDB can be used as a caching layer or a data connector in VulcanSQL, a Data API framework for data folks to create REST APIs by writing SQL templates.

- [Tad](https://www.tadviewer.com) - A fast, free, cross-platform tabular data viewer application powered by DuckDB.

- [Honeycomb Maps](https://www.honeycombmaps.com/) - A browser-based geospatial analysis tool leveraging DuckDB-Wasm.

- [Bauplan](https://www.bauplanlabs.com/) - A serverless data transformation platform for data lakes.

- [Malloy](https://www.malloydata.dev/) - Malloy is an experimental language for describing data relationships and transformations. Malloy connects to BigQuery, Snowflake, Trino, and Postgres, and natively supports DuckDB.

- [Evidence](https://evidence.dev) - Generate reports using SQL and markdown. The DuckDB connector allows querying across DuckDB, CSV, Parquet and JSON.

- [Latitude](https://latitude.so) - Latitude uses DuckDB to power data snapshots. Drop a CSV file and query it with SQL at the speed of light.

- [Census](https://www.getcensus.com/) - Census's dataset diffing for incremental syncs is powered by DuckDB.

- [Huey](https://github.com/rpbouman/huey) - Blazing-fast & intuitive pivot tables on Parquet, CSV, JSON files and DuckDB tables in the browser based on DuckDB-Wasm. Open source (MIT). Zero install!

- [Parquet Explorer](https://marketplace.visualstudio.com/items?itemName=AdamViola.parquet-explorer) - Visual Studio Code extension for exploring Parquet files with SQL, powered by DuckDB.

- [DQOps](https://dqops.com) - Data quality platform for data engineers, data quality teams and data operations.

- [DatalakeStudio](https://github.com/javitorres/datalakeStudio) - Load, explore, transform your datasets and expose them via API. Integration with external APIs, S3, PostgreSQL and ChatGPT.

- [Spice.ai](https://github.com/spiceai/spiceai) - A unified SQL query interface and portable runtime to locally materialize (using an embedded DuckDB), accelerate, and query datasets from any database, data warehouse, or data lake.

- [Definite](https://www.definite.app/) - Definite pulls all your data into a single place for analytics and dashboards. No engineering or SQL required. Get a managed data warehouse (DuckDB), ELT, data modeling / transformations and BI in a single platform.

- [Amphi ETL](https://github.com/amphi-ai/amphi-etl) - Low-code data pipelines for structured and unstructured data. SQL transformations are powered by DuckDB.

- [Quackpipe](https://github.com/metrico/quackpipe) - Serverless OLAP API/UI built on top of DuckDB with basic ClickHouse API compatibility and MotherDuck support.

- [UniverSQL](https://github.com/buremba/universql) - An implementation of Snowflake API, enables running queries on Snowflake tables locally with DuckDB without a running warehouse.

- [Whereabouts](https://github.com/ajl2718/whereabouts) - Fast, accurate, open-source geocoding in Python, using DuckDB.

- [Phoenix Analytics](https://github.com/lalabuy948/PhoenixAnalytics) - Plug and play analytics for Phoenix applications, powered by DuckDB.

- [SQLGlot](https://github.com/tobymao/sqlglot) - Python transpiler that translates between 24 different SQL dialects including DuckDB.

- [yato](https://github.com/Bl3f/yato) - The smallest DuckDB SQL orchestrator on Earth.

- [SQLMesh](https://github.com/TobikoData/sqlmesh) - A next-generation data transformation and modeling framework with support for DuckDB connections for state, transformations & running unit tests locally.

- [ADPivot](https://github.com/danilo-css/analytics-data-pivot) - No code tool built on top of DuckDB-Wasm and Pyodide that helps build pivot tables from databases of any size with a few clicks.

- [Kepler.gl](https://kepler.gl/) - Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets, now embeds duckdb wasm to create geospatial layers.

- [duckdb.yazi](https://github.com/wylie102/duckdb.yazi) - Preview csv/tsv, json, and Parquet files in the yazi file manager using duckdb. View the raw data, or a "summarized" view with data-types, min, max, avg etc. for all columns.

- [Greybeam](https://www.greybeam.ai/) - Routes your Snowflake queries to a DuckDB powered warehouse to reduce costs and speed up queries.



## Backends



- [DuckDB API](https://github.com/tobilg/duckdb-api) - a TypeScript-based Docker image containing DuckDB, and a Hono framework REST API with JSON or streaming Arrow responses.

- [Mosaic DuckDB Server](https://pypi.org/project/duckdb-server/) - A Python-based server that runs a local DuckDB instance and supports queries over Web Sockets or HTTP, returning data in either Apache Arrow or JSON format.

- [duckdb-server](https://lib.rs/crates/duckdb-server) - A Rust-based server that runs a local DuckDB instance and supports queries over Web Sockets or HTTP/HTTPS, returning data in either Apache Arrow or JSON format.



## Libraries Powered by DuckDB



- [Mosaic](https://idl.uw.edu/mosaic/) - An extensible framework for linking databases and interactive views.

- [Fugue](https://github.com/fugue-project/fugue/) - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

- [Splink](http://github.com/moj-analytical-services/splink) - A free Python library for fast, accurate data deduplication and record linkage.

- [Simple-data-analysis](https://github.com/nshiab/simple-data-analysis) - Easy-to-use and high-performance JavaScript library for data analysis.

- [duckdb_fdw](https://github.com/alitrack/duckdb_fdw) - DuckDB Foreign Data Wrapper for PostgreSQL.

- [@jetblack/duckdb-react](https://github.com/rob-blackbourn/jetblack-duckdb-react) - A context manager for React and DuckDB-Wasm.

- [QuackOSM](https://github.com/kraina-ai/quackosm) - A Python library for downloading and transforming raw OpenStreetMap data into GeoParquet files.

- [PyGWalker](https://kanaries.net/pygwalker) - A Python library that turns your dataframe into an interactive UI for data visualization.

- [flapi](https://github.com/DataZooDE/flapi) - An API Framework that heavily relies on the power of DuckDB and DuckDB extensions. Ready to build performant and cost-efficient APIs on top of BigQuery or Snowflake for AI Agents and Data Apps.

- [smallpond](https://github.com/deepseek-ai/smallpond) - A distributed data processing framework by DeepSeek built on DuckDB and 3FS.

- [BemiDB](https://github.com/BemiHQ/BemiDB) - PostgreSQL read replica optimized for analytics, using DuckDB.

- [jsqltranspiler](https://github.com/starlake-ai/jsqltranspiler) - Rewrite BigQuery, Redshift, Snowflake and Databricks queries into DuckDB-compatible SQL.



## DuckDB Clients and UIs



### Web Clients (WebAssembly)



- [Online DuckDB Shell](https://shell.duckdb.org/) - Online DuckDB shell powered by DuckDB-Wasm.

- [SQL Workbench](https://sql-workbench.com) - DuckDB-Wasm based SQL Workbench for running queries on local or remote data, being able to show data as tables or visually as graphs, and sharing queries via URLs.

- [Sekuel Playground](https://sekuel.com/playground/) - Query your local Parquet, CSV, JSON. Your data will not be sent out of the device you are using.

- [Codapi](https://codapi.org/duckdb/) - Embed executable code snippets directly into your product documentation, online course or blog post.

- [QuackDB](https://quackdb.com/) - Open-source online DuckDB SQL playground and editor.

- [Sidequery](https://sidequery.ai) - Sidequery is a privacy-preserving DuckDB-powered query editor & data exploration tool for local & remote data.

- [Duck-UI](https://demo.duckui.com/) - Duck-UI is a web-based interface for interacting with DuckDB with a SQL editor, data import/export, data explorer, query history, theme toggle and keyboard shortcuts.

- [SQLRooms](https://sqlrooms.org/) – React app framework for small to mid-sized data analytics powered by DuckDB-WASM.

- [PondPilot](https://pondpilot.io) - Open-source, 100% client-side data exploration tool that enables users to analyze local and remote data using SQL. Zero-copy direct access to local datasets sets PondPilot apart from similar tools. It runs entirely in the browser—no servers, no cloud uploads, and no setup required.



## SQL Clients and IDE that Support DuckDB



- [Harlequin](https://harlequin.sh) - The DuckDB IDE (TUI) for your terminal.

- [qStudio](https://www.timestored.com/qstudio/) - A free SQL tool specialized for data analysts. It runs on every operating system and allows easy browsing of tables and charting of results.

- [DuckDB SQL Tools](https://marketplace.visualstudio.com/items?itemName=RandomFractalsInc.duckdb-sql-tools) - Free DuckDB SQL Tools for VS Code IDE. [Premium version available](https://github.com/RandomFractals/pro-data-tools/blob/main/duckdb-tools.md#duckdb-pro-tools) with advanced features.

- [VSCode SQLTools (free)](https://marketplace.visualstudio.com/items?itemName=Evidence.sqltools-duckdb-driver) - Free open-source VSCode extension to query and explore your DuckDB databases with latest DuckDB support.

- [DBeaver](https://dbeaver.com) - DBeaver is a universal database access and development tool that can be used to connect almost any type of database.

- [DataGrip](https://www.jetbrains.com/datagrip/) - Paid SQL IDE by JetBrains that supports many different database technologies, including DuckDB.

- [Duckling](https://github.com/l1xnan/duckling) - A fast viewer for CSV/Parquet files and DuckDB/SQLite, based on Tauri.

- [rsql](https://github.com/theseus-rs/rsql) - CLI for DuckDB, LibSQL, MariaDB, MySQL, PostgreSQL, SQLite3 and SQL Server.

- [SQL DATA LENS](https://sqldatalens.com/build-in-support-for-duckdb/) - A lightweight, commercial SQL IDE that supports different DBMS, including DuckDB. The focus is on performance and special DBMS features.

- [Dataflare](https://dataflare.app) - Simple easy-to-use database manager, supports DuckDB, PostgreSQL, MySQL, SQL Server, SQLite etc.



## Projects Powered by DuckDB



- [NBA Monte Carlo](https://github.com/matsonj/nba-monte-carlo) - Monte Carlo simulation of the NBA season, leveraging Meltano, dbt, DuckDB and Evidence.

- [Datadex](https://github.com/davidgasquez/datadex/) - Open source and local friendly data platform to collaborate on Open Data using DuckDB, Dagster, dbt, and Quarto.

- [`endoflife.date` database](https://www.kaggle.com/datasets/adriensales/endoflife-date-database) - Daily dumps of endoflife.date data.

- [`transfermarkt-datasets`](https://github.com/dcaribou/transfermarkt-datasets) - Curated football datasets from [Transfermarkt](https://www.transfermarkt.co.uk/).

- [duckdb-embedding-search](https://github.com/patricktrainer/duckdb-embedding-search) - A search engine for DuckDB that uses embedding vectors to find similar documents.

- [DuckDB PyPI stats live dashboard](https://duckdbstats.com/) - Live dashboard of PyPI downloads using DuckDB, dbt, Evidence and MotherDuck with code source to build your own.



## Integrations



- [dbt-duckdb](https://github.com/jwills/dbt-duckdb) - DuckDB dbt adapter.

- [data load tool - DuckDB destination](https://dlthub.com/docs/dlt-ecosystem/destinations/duckdb) - Extract and load data from APIs to DuckDB using dlt.

- [target-duckdb](https://hub.meltano.com/loaders/target-duckdb/) - Load data to DuckDB based on Singer spec.

- [Airbyte DuckDB destination](https://docs.airbyte.com/integrations/destinations/duckdb/) - Load data to DuckDB with Airbyte.

- [Kestra DuckDB plugin](https://kestra.io/plugins/plugin-jdbc-duckdb) - Run queries with DuckDB to schedule data transformations and process automations and run event-driven anomaly detection pipelines.

- [SQLFlow](https://github.com/turbolytics/sql-flow) - Enables SQL-based stream processing, powered by DuckDB.

- [nf-sqldb](https://github.com/nextflow-io/nf-sqldb) - This plugin provides support for interacting with SQL databases in Nextflow scripts.

- [MindsDB](https://github.com/mindsdb/mindsdb) - The platform for customizing AI from enterprise data. [MindsDB integrates with DuckDB](https://docs.mindsdb.com/integrations/data-integrations/duckdb), making data from DuckDB accessible to a diverse range of AI/ML models.

- [sqlite2duckdb](https://github.com/dridk/sqlite2duckdb) - A CLI tool to convert SQLite database to DuckDB.

- [nodbi](https://docs.ropensci.org/nodbi/) - NoSQL Database Connector for R, providing a common API across Elasticsearch, CouchDB, MongoDB, SQLite, PostgreSQL, and DuckDB.

- [duckplyr](https://tidyverse.github.io/duckplyr/) - Drop-in replacement for dplyr in R that uses DuckDB for performance.

- [kwack](https://github.com/rayokota/kwack) - In-Memory Analytics for Kafka using DuckDB.

- [PSDuckDB](https://github.com/dfinke/PSDuckDB) - A PowerShell module for DuckDB integration.

- [duckdb-tableau-connector](https://github.com/MotherDuck-Open-Source/duckdb-tableau-connector) - DuckDB Tableau connector.

- [duckdb-power-query-connector](https://github.com/MotherDuck-Open-Source/duckdb-power-query-connector) - DuckDB Power Query Custom Connector.

- [metabase_duckdb_driver](https://github.com/MotherDuck-Open-Source/metabase_duckdb_driver) - Metabase DuckDB Driver shipped as 3rd party plugin.

- [xlDuckDb](https://github.com/RusselWebber/xlDuckDb) - Excel addin to run DuckDB queries in Excel.

- [Hasura DuckDB Connector](https://github.com/hasura/ndc-duckdb) - Allows connecting to a DuckDB database or a MotherDuck-hosted DuckDB database through a GraphQL API.

- [Ontop](https://ontop-vkg.org/guide/databases/duckdb.html) - Allows to create Virtual Knowledge Graphs directly from DuckDB.

- [jOOQ](https://www.jooq.org/) - Type safe querying of DuckDB (and many other RDBMS) from Java. A [transpiler](https://www.jooq.org/translate/) from and to DuckDB is also available.

- [manifold-sql (DuckDB for Java)](https://github.com/manifold-systems/manifold/blob/master/docs/articles/duckdb_info.md) - Use native DuckDB SQL of any complexity directly & type-safely in Java source with comprehensive IntelliJ support.



## Client-Server Setups



- [Crunchy Data Warehouse](https://www.crunchydata.com/products/warehouse) - Fully managed DBaaS based in PostgreSQL integrated with DuckDB.

- [MotherDuck](https://motherduck.com/) - A serverless cloud data warehouse powered by DuckDB.

- [MyDuck Server](https://github.com/apecloud/myduckserver) - A server wrapping DuckDB with MySQL and PostgreSQL wire protocol support.

- [pg_analytics](https://github.com/paradedb/pg_analytics) - PostgreSQL extension embedding DuckDB-in-PostgreSQL for fast on-disk and remote object storage analytics from Postgres. Built as a Foreign Data Wrapper with full query pushdown to DuckDB. Integrates easily with ParadeDB.

- [pg_duckdb](https://github.com/duckdb/pg_duckdb) - DuckDB-powered PostgreSQL for high-performance apps & analytics.

- [pg_mooncake](https://github.com/Mooncake-Labs/pg_mooncake) - A PostgreSQL extension that adds native column store tables with DuckDB.

- [GizmoSQL - Arrow Flight SQL Server](https://github.com/gizmodata/gizmosql-public) - An implementation of the [Arrow Flight SQL protocol](https://arrow.apache.org/docs/format/FlightSql.html) that runs in a client-server setup with DuckDB or SQLite as backends.



- [Termux DuckDB package](https://packages.termux.dev/apt/termux-main/pool/main/libd/libduckdb/) - DuckDB CLI client for the Termux Android terminal emulator.



## Extensions



### [Official Extensions](https://duckdb.org/docs/extensions/official_extensions)



Official DuckDB extensions, which can installed via `INSTALL ⟨extension_name⟩`.



- [`arrow`](https://github.com/duckdb/arrow) - A zero-copy data integration between Apache Arrow and DuckDB.

- [`avro`](https://github.com/duckdb/duckdb-avro) - For reading Avro files.

- [`aws`](https://github.com/duckdb/duckdb_aws) - For handling AWS credentials.

- [`azure`](https://github.com/duckdb/duckdb_azure) - For using the Azure Blob storage.

- [`delta`](https://github.com/duckdb/duckdb_delta) - For Delta Lake support.

- [`fts`](https://duckdb.org/docs/extensions/full_text_search) - To support full-text search.

- [`iceberg`](https://github.com/duckdb/duckdb_iceberg) - For reading Iceberg tables.

- [`inet`](https://github.com/duckdb/duckdb_inet) - For storing and handling IPv4 and IPv6 Internet addresses.

- [`mysql`](https://duckdb.org/docs/extensions/mysql) - To read from and write to MySQL databases.

- [`postgres`](https://duckdb.org/docs/extensions/postgres) - To read from and write to PostgreSQL databases.

- [`spatial`](https://duckdb.org/docs/extensions/spatial) - Enables geospatial processing.

- [`sqlite`](https://duckdb.org/docs/extensions/sqlite) - To read from and write to SQLite databases.

- [`vss`](https://duckdb.org/docs/extensions/vss) - Add support for vector similarity search.



### [Community Extensions](https://duckdb.org/community_extensions/)



Community-contributed DuckDB extensions, which can be installed via `INSTALL ⟨extension_name⟩ FROM community`.



- [`bigquery`](https://github.com/hafenkran/duckdb-bigquery) - Integrates DuckDB with Google BigQuery, allowing direct querying and management of BigQuery datasets.

- [`chsql`](https://github.com/lmangani/duckdb-extension-clickhouse-sql) - ClickHouse SQL Dialect macros for DuckDB.

- [`crypto`](https://github.com/rustyconover/duckdb-crypto-extension) - Cryptographic hash functions and HMAC.

- [`duckpgq`](https://github.com/cwida/duckpgq-extension) - Add supports for SQL/PGQ (Property Graph Queries) introduced in the SQL:2023 standard.

- [`evalexpr_rhai`](https://github.com/rustyconover/duckdb-evalexpr-rhai-extension) - Evaluates the [Rhai](https://rhai.rs) scripting language as part of SQL.

- [`fuzzycomplete`](https://github.com/rustyconover/duckdb-fuzzycomplete-extension) - Performs fuzzy string matching for autocompletion.

- [`gsheets`](https://github.com/evidence-dev/duckdb_gsheets) - Read and write Google Sheets using SQL.

- [`h3`](https://github.com/isaacbrodsky/h3-duckdb) - Adds support for the H3 discrete global grid system.

- [`httpserver`](https://github.com/quackscience/duckdb-extension-httpserver) - DuckDB HTTP API Server and Query Interface.

- [`lindel`](https://github.com/rustyconover/duckdb-lindel-extension) - Linearization/Delinearization, Z-Order, Hilbert and Morton Curves.

- [`netquack`](https://github.com/hatamiarash7/duckdb-netquack) - Parsing, extracting, and analyzing domains, URIs, and paths with ease.

- [`prql`](https://github.com/ywelsch/duckdb-prql) - Run PRQL commands directly within DuckDB.

- [`scrooge`](https://github.com/pdet/Scrooge-McDuck) - A set of aggregation functions and data scanners on financial data.

- [`shellfs`](https://github.com/rustyconover/duckdb-shellfs-extension) - Allows shell commands to be used for input and output.

- [`ulid`](https://github.com/Maxxen/duckdb_ulid) - ULID data type for DuckDB. A ULID is similar to a UUID except that it also contains a timestamp component.

- [`cache_httpfs`](https://github.com/dentiny/duck-read-cache-fs) - Adds a read caching layer to duckdb filesystem to improve query performance and reduce egress cost.



### Other Extensions



- [duckdb_engine](https://github.com/Mause/duckdb_engine) - SQLAlchemy driver for DuckDB.

- [duckdb-extension-template-zig](https://github.com/rupurt/duckdb-extension-template-zig) - A Zig & Nix toolkit template for building extensions against multiple versions of DuckDB using Zig, C or C++.

- [duckdb-jfr-extension](https://github.com/ocadaruma/duckdb-jfr-extension) - DuckDB extension to read JFR (Java Flight Recorder) files directly.

- [duckdb_protobuf](https://github.com/0xcaff/duckdb_protobuf) - Plugin for querying encoded protobuf messages (both sequences and individual messages per file).

- [duckdb-pytables](https://github.com/MarkRoddy/duckdb-pytables) - DuckDB extension to allow running SQL on arbitrary data sources.

- [ERPL](https://erpl.io) - DuckDB SAP connector using RFC, ODP, or BICS.

- [Kùzu](https://github.com/kuzudb/kuzu/tree/master/extension/duckdb) - Scan DuckDB tables in Kùzu, an embeddable property graph database management system.

- [Lance](https://lancedb.github.io/lancedb/python/duckdb/) - Integrate Lance (modern columnar data format for ML implemented in Rust) with DuckDB.

- [ODBC Scanner DuckDB Extension](https://github.com/rupurt/odbc-scanner-duckdb-extension) - DuckDB extension to read data directly from databases supporting the ODBC interface.

- [QDuckDB](https://gitlab.com/Oslandia/qgis/qduckdb) - Plugin for reading DuckDB spatial tables in QGIS software.

- [UC Catalog Extension](https://github.com/duckdb/uc_catalog) - Proof-of-concept extension combining the `delta` extension with Unity Catalog.

- [FlockMTL](https://github.com/dsg-polymtl/flockmtl) - Integrate language model (LLM) capabilities directly into your queries and workflows.

- [ERPL Web](https://github.com/DataZooDE/erpl-web) - ERPL Web is a DuckDB extension that connects API-based ecosystems via standard interfaces like OData, GraphQL, and REST.



### Extension Statistics



- [DuckDB Extension Radar](https://github.com/mehd-io/duckdb-extension-radar) - Repository that contains DuckDB extensions on GitHub. Refreshed daily.

- [DuckDB extension weekly downloads](https://duckdb-ce-analysis.evidence.app/) - Statistics of weekly downloads for core extensions and community extensions. Refreshed daily.



## Media



### Talks



- [DuckCon #6 playlist](https://www.youtube.com/playlist?list=PLzIMXBizEZjggaDzjPP542En2R5SV0WiZ)

- [DuckDB: Crunching data anywhere from laptops to servers @ GOTO Amsterdam 2024](https://www.youtube.com/watch?v=9Rdwh0rNaf0) - Gábor Szárnyas.

- [DuckDB – Overview and latest developments @ DuckCon #5](https://www.youtube.com/watch?v=xX6qnP2H5wk) - Hannes Mühleisen and Mark Raasveldt.

- [DuckCon #5 playlist](https://www.youtube.com/playlist?list=PLzIMXBizEZjhbacz4PWGuCUSxizmLei8Y)

- [DuckCon #4 playlist](https://www.youtube.com/playlist?list=PLzIMXBizEZjhZcTiEFZIAxPpB6RE9TmgC)

- [DuckCon #3 playlist](https://www.youtube.com/playlist?list=PLzIMXBizEZjhy6QG4Eqoe9k9NgBa-w67Y)

- [In-Process Analytical Data Management with DuckDB @ PyData Amsterdam](https://www.youtube.com/watch?v=5ddoZR6PYNU) - Hannes Mühleisen.

- [DuckDB: The Power of a Data Warehouse in your Python Process @ PyData Yerevan](https://www.youtube.com/watch?v=q_SKaOeRiOI) - Gábor Szárnyas.

- [DuckDB: Bringing analytical SQL directly to your Python shell @ EuroPython](https://www.youtube.com/watch?v=egN4TwVyJss) - Pedro Holanda.

- [DuckDB keynote @ Data + AI Summit 2023](https://www.youtube.com/watch?v=GaHWuQ_cBhA) - Hannes Mühleisen.

- [DuckDB: Bringing Analytical SQL Directly To Your Python Shell @ FOSDEM](https://www.youtube.com/watch?v=-rCZQHXSunc) - Pedro Holanda.

- [State of the Duck @ DuckCon #2](https://www.youtube.com/watch?v=rdnPkLSkoyU) - Hannes Mühleisen & Mark Raasveldt.

- [DuckDB Extensions @ DuckCon](https://www.youtube.com/watch?v=UKo_LQyLTko) - Pedro Holanda & Sam Ansmink.

- [Developing Systems in Academia: The Good, the Bad, and the not-so-Ugly Duckling @ CIDR](https://www.youtube.com/watch?v=dv4A2LIFG80) - Hannes Mühleisen.

- [DuckDB An Embeddable Analytical Database @ FOSDEM](https://www.youtube.com/watch?v=nPDomZQ8jI4) - Hannes Mühleisen.

- [DuckDB tutorials playlist by Learn Data with Mark](https://www.youtube.com/watch?v=fZj6kTwXN1U&list=PLw2SS5iImhEThtiGNPiNenOr2tVvLj6H7) - Mark Needham.

- [DuckDB tutorials playlist by MotherDuck](https://www.youtube.com/playlist?list=PLIYcNkSjh-0wlrFUE2VvQilLU2aBPns0K) - Mehdi Ouazza.

- [Nextflow and database uses: powering data engineering, exploring DuckDB, and beyond](https://youtu.be/GknH1u3NtGI?si=PKnF__cQJ_citMUi) - Edmund Miller.

- [Why should you care about DuckDB? @ Dublin DuckDB meetup](https://www.youtube.com/watch?v=q55UMyQapKA) - Mihai Bojin.

- [Exploring Monte Carlo Simulations With DuckDB @ Dublin DuckDB meetup](https://www.youtube.com/watch?v=oh0Y3MN2Tas) - James McNeill.

- [DuckDB and recommenders: A lightning fast synergy @ Dublin DuckDB meetup](https://www.youtube.com/watch?v=Y3aJe8MRKAI) - Khalil Muhammad.



### Podcasts



- [Developer Voices: Implementing Hardware-Friendly Databases](https://www.youtube.com/watch?v=pZV9FvdKmLc) - Hannes Mühleisen.

- [The Geek Narrator: DuckDB Internals](https://www.youtube.com/watch?v=f9QlkXW4H9A) - Mark Raasveldt.

- [Software Engineering Daily: DuckDB](https://softwareengineeringdaily.com/2022/03/18/duckdb-with-hannes-muleisen/) - Hannes Mühleisen.

- [Data Engineering Podcast: Move Your Database To The Data And Speed Up Your Analytics With DuckDB](https://www.dataengineeringpodcast.com/duckdb-in-process-olap-database-episode-270/) - Hannes Mühleisen.

- [The Analytics Engineering Podcast: The Personal Data Warehouse](https://www.youtube.com/watch?v=4aRdCfrNjMk) - Jordan Tigani.

- [DuckDB in Research](https://shows.acast.com/disseminate) - Series in Disseminate, the Computer Science Research Podcast, with host Jack Waudby.



### Blog Posts



- [Duck Takes Flight: Streaming Data in DuckDB](https://www.definite.app/blog/duck-takes-flight) - Adding concurrent read/write to DuckDB with Arrow Flight.

- [Modern Data Stack in a Box](https://duckdb.org/2022/10/12/modern-data-stack-in-a-box.html) -  Fast, free, and open-source Modern Data Stack deployed on a laptop using the combination of DuckDB, Meltano, dbt, and Apache Superset.

- [How to use DuckDB, Motherduck and Kestra for ETL](https://motherduck.com/blog/motherduck-kestra-etl-pipelines/) - How DuckDB can transform data, mask sensitive PII information, detect anomalies in event-driven workflows, and streamline reporting use cases.

- [DuckDB vs. MotherDuck — how do they compare](https://kestra.io/blogs/2023-07-28-duckdb-vs-motherduck) - What are the key differences between them, and when to choose each of these options.

- [Building DuckDB Extensions with Zig and Nix](https://rupurt.github.io/posts/building-duckdb-extensions-with-zig-and-nix) - For Nix users and Zig developers familiar with DuckDB looking to extend its capabilities with custom extensions.

- [Exploring StarCraft 2 data with Airflow, DuckDB and Streamlit](https://medium.com/data-engineer-things/exploring-starcraft-2-data-with-airflow-duckdb-and-streamlit-7c0ad79f9ca6) - Example project using DuckDB to persist API data, but also explains how to use DuckDB as a versatile data manipulation tool in data wrangling scripts.

- [DuckDB: The Rising Star in the Big Data Landscape](https://mihaibojin.medium.com/duckdb-the-big-data-rising-star-71916f953f18)

- [How to Make a DuckDB Extension for a Table Function?](https://blog.debug.sexy/duckdb/extension/dbms/2024/04/09/How-to-make-a-DuckDB-extension-for-a-table-function.html) - How to make a DuckDB extension to fetch data from external sources.

- [Putting DuckDB in Postgres to Query Iceberg](https://www.paradedb.com/blog/iceberg_lakehouse) - How ParadeDB embedded DuckDB in Postgres to achieve fast analytics and Apache Iceberg compatibility from Postgres.

- [DuckDB Doesn't Need Data To Be a Database](https://www.nikolasgoebel.com/2024/05/28/duckdb-doesnt-need-data) - How DuckDB can provide a view over data stored in S3.

- [Securing DuckDB, Improving Startup Time, and Working Offline](https://blog.colinbreck.com/securing-duckdb-improving-startup-time-and-working-offline/) - How to set up DuckDB and how to work with extensions in an offline (and potentially sensitive) environment.

- [Datalore 2025.2 Is Out With Report Tabs, Extended DuckDB Support, and Snowflake Key Pair Authentication](https://blog.jetbrains.com/datalore/2025/04/17/datalore-2025-2-is-out-with-report-tabs-extended-duckdb-support-and-snowflake-key-pair-authentication/) - Improved DuckDB support in JetBrains' Datalore collaborative data science platform



### Books



- [DuckDB in Action](https://www.manning.com/books/duckdb-in-action) - DuckDB in Action will show you how to quickly get your hands dirty with DuckDB.

- [Getting Started with DuckDB](https://www.packtpub.com/en-us/product/getting-started-with-duckdb-9781803241005) - A practical guide for accelerating your data science, data analytics, and data engineering workflows.



## Contribute



Contributions welcome! Read the [contribution guidelines](CONTRIBUTING.md) first.