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# Awesome DuckDB [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) <!-- omit in toc -->
> A curated list of awesome DuckDB libraries, tools and resources.
[DuckDB](https://duckdb.org/) is an analytical in-process SQL database management system.
DuckDB 1.0.0 was released on 2024-06-03: see the [announcement blog post](https://duckdb.org/2024/06/03/announcing-duckdb-100).
## Chat with this page
You can chat with this page's content on [HuggingChat](https://hf.co/chat/assistant/662583ebe039fc836ce74dee).
<!-- omit in toc -->
## Contents
- [Chat with this page](#chat-with-this-page)
- [Resources](#resources)
- [Client APIs](#client-apis)
- [Tools Powered by DuckDB](#tools-powered-by-duckdb)
- [Web Clients](#web-clients)
- [Libraries Powered by DuckDB](#libraries-powered-by-duckdb)
- [SQL Clients and IDE that Support DuckDB](#sql-clients-and-ide-that-support-duckdb)
- [Projects Powered by DuckDB](#projects-powered-by-duckdb)
- [Integrations](#integrations)
- [Extensions](#extensions)
- [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 Clients](https://duckdb.org/docs/api/overview) - Client APIs for DuckDB.
- [DuckDB Documentation PDF](https://duckdb.org/duckdb-docs.pdf) - The DuckDB documentation as a single PDF 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.
- [DuckDB version manager (`duckman`)](https://github.com/NiclasHaderer/duckdb-version-manager) – Cross-platform installer and version manager for DuckDB.
## Client APIs
- [C](https://duckdb.org/docs/api/c/overview)
- [C++](https://duckdb.org/docs/api/cpp)
- [CLI](https://duckdb.org/docs/api/cli)
- [Go](https://github.com/marcboeker/go-duckdb)
- [Julia](https://duckdb.org/docs/api/julia)
- [Node.js](https://duckdb.org/docs/api/nodejs/overview)
- [Python](https://duckdb.org/docs/api/python/overview)
- [R](https://duckdb.org/docs/api/r)
- [Ruby](https://github.com/suketa/ruby-duckdb)
- [Rust](https://github.com/duckdb/duckdb-rs)
- [Swift](https://duckdb.org/docs/api/swift)
- [TypeScript](https://www.npmjs.com/package/duckdb-async)
- [Wasm](https://duckdb.org/docs/api/wasm/overview)
- [ADBC](https://duckdb.org/docs/api/adbc)
- [ODBC](https://duckdb.org/docs/api/odbc/overview)
- [.NET](https://github.com/Giorgi/DuckDB.NET/)
- [Common Lisp](https://github.com/ak-coram/cl-duckdb)
## Tools Powered by DuckDB
- [Rill Developer](https://github.com/rilldata/rill-developer) - 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).
- [MotherDuck](https://motherduck.com/) - Serverless data warehouse powered by DuckDB.
- [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.
- [Iceburst](https://iceburst.io) - The real-time data lake for monitoring & security.
- [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/) - 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.
- [ParadeDB](https://github.com/paradedb/paradedb) - Postgres for Search and Analytics, powered by DuckDB-embedded-in-Postgres.
- [Crunchy Bridge for Analytics](https://www.crunchydata.com/products/crunchy-bridge-for-analytics) - Fully managed DBaaS based in Postgres integrated with DuckDB.
### Web Clients
- [Online DuckDB Shell](https://shell.duckdb.org/) - Online DuckDB shell powered by WebAssembly.
- [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.
- [CSVFiddle](https://csvfiddle.io/) - Free tool to explore and share insights from CSV files using SQL. Import data, write SQL, then instantly share it with anyone.
- [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.
- [WhatTheDuck](https://whattheduck.incentius.com/) - WhatTheDuck is an open-source web application built on DuckDB. It allows users to upload CSV files, store them in tables, and perform SQL queries on the data.
## 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.
- [pg_lakehouse](https://github.com/paradedb/paradedb/tree/dev/pg_lakehouse) - PostgreSQL extension embedding DuckDB-in-Postgres for fast on-disk and remote object storage analytics from Postgres. Built as a Foreign Data Wrapper with full query pushdown to DuckDB.
- [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 Pyhon library that turns your dataframe into an interactive UI for data visualization.
## SQL Clients and IDE that Support DuckDB
- [Harlequin](https://harlequin.sh) - The DuckDB IDE for your terminal. ([GitHub](https://github.com/tconbeer/harlequin)).
- [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.
- [jsqltranspiler](https://github.com/starlake-ai/jsqltranspiler) - Rewrite BigQuery, Redshift, Snowflake and Databricks queries into DuckDB compatible SQL.
- [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.
- [SQL DATA LENS](https://sqldatalens.com/build-in-support-for-duckdb/) - A lightweight, commercial SQL IDE that supports different DBMS, including DuckDB. The focus on performance and special DBMS features.
- [Dataflare](https://dataflare.app) - Simple easy-to-use database manager, supports DuckDB, PostgreSQL, MySQL, SQL Server, SQLite etc.
- [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.
## 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://github.com/mehd-io/pypi-duck-flow) - 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.
- [Arrow Flight SQL Server](https://github.com/voltrondata/flight-sql-server-example) - An example implementation of the [Arrow Flight SQL protocol](https://arrow.apache.org/docs/format/FlightSql.html) what runs in a client-server setup with DuckDB or SQLite as backends.
- [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://duckdblabs.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.
## Extensions
- [Official Extensions](https://duckdb.org/docs/extensions/official_extensions) - Official DuckDB extensions.
- [`arrow`](https://github.com/duckdb/arrow) - A zero-copy data integration between Apache Arrow and DuckDB.
- [`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.
- [`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.
- [DuckDB Extension Radar](https://github.com/mehd-io/duckdb-extension-radar) - Repository that contains DuckDB extensions on GitHub. Refreshed daily.
- [Lance](https://github.com/eto-ai/lance/tree/main/integration/duckdb_lance) - Integrate Lance (modern columnar data format for ML implemented in Rust) with DuckDB.
- [Kùzu](https://github.com/kuzudb/kuzu/tree/master/extension/duckdb) - Scan DuckDB tables in Kùzu, an embeddable property graph database management system.
- [PRQL](https://github.com/ywelsch/duckdb-prql) - Run PRQL commands directly within DuckDB.
- [duckdb-engine](https://github.com/Mause/duckdb_engine) - SQLAlchemy driver for DuckDB.
- [Scrooge-McDuck](https://github.com/pdet/Scrooge-McDuck) - DuckDB extension to support a set of aggregation functions and data scanners on financial data.
- [duckdb-pytables](https://github.com/MarkRoddy/duckdb-pytables) - DuckDB extension to allow running SQL on arbitrary data sources.
- [ODBC Scanner DuckDB Extension](https://github.com/rupurt/odbc-scanner-duckdb-extension) - DuckDB extension to read data directly from databases supporting the ODBC interface.
- [duckdb-jfr-extension](https://github.com/ocadaruma/duckdb-jfr-extension) - DuckDB extension to read JFR (Java Flight Recorder) files directly.
- [QDuckDB](https://gitlab.com/Oslandia/qgis/qduckdb) - Plugin for reading DuckDB spatial tables in QGIS software.
- [ERPL](https://erpl.io) - DuckDB SAP connector using RFC, ODP, or BICS.
- [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++.
- [DuckPGQ](https://github.com/cwida/duckpgq-extension) - DuckDB extension for graph workloads that supports the SQL/PGQ standard.
- [h3-duckdb](https://github.com/isaacbrodsky/h3-duckdb) - Adds support for the H3 discrete global grid system.
- [duckdb-shellfs-extension](https://github.com/rustyconover/duckdb-shellfs-extension) - Allows shell commands to be used for input and output.
- [duckdb-bigquery](https://github.com/hafenkran/duckdb-bigquery) - Enables seamless integration and querying of BigQuery datasets within DuckDB.
- [duckdb-protobuf](https://github.com/0xcaff/duckdb_protobuf) - Plugin for querying encoded protobuf messages (both sequences and individual messages per file).
## Media
### Talks
- [DuckCon #4 playlist](https://www.youtube.com/playlist?list=PLzIMXBizEZjhZcTiEFZIAxPpB6RE9TmgC)
- [State of the Duck @ DuckCon #4](https://www.youtube.com/watch?v=cyZfpXxXojE) - Hannes Mühleisen and Mark Raasveldt.
- [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.
- [State of the Duck @ DuckCon #3](https://www.youtube.com/watch?v=LlkEnaOkzdk) - Hannes Mühleisen and Mark Raasveldt.
- [DuckCon #3 playlist](https://www.youtube.com/playlist?list=PLzIMXBizEZjhy6QG4Eqoe9k9NgBa-w67Y)
- [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 (MotherDuck).
- [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://open.spotify.com/episode/3CmeFOuIOg91xApdjbWqey) - Jordan Tigani.
### Blog Posts
- [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 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://blog.paradedb.com/pages/iceberg_lakehouse) - How ParadeDB embedded DuckDB in Postgres to achieve fast analytics and Apache Iceberg compatibility from Postgres.
### Books
- [DuckDB in Action](https://github.com/duckdb-in-action/examples) - DuckDB in Action will show you how to quickly get your hands dirty with DuckDB.
## Contribute
Contributions welcome! Read the [contribution guidelines](CONTRIBUTING.md) first.
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