“DuckDB does the heavy lifting for dataset preparation. It lets us process and structure large API responses efficiently, so users get clean, query-ready datasets without the overhead of a heavier database.”
DatabaseMaker says so · source ↗
DuckDB
In-process analytical SQL database that queries CSV, Parquet, JSON and Iceberg files locally or in object storage, with no server.
Works with AI agents:llms.txtWhere it fits
Who uses it
14 makers' products, each linked to the source that shows it, and 44 open-source projects that declare it in their code.
“We use DuckDB WebAssembly as the core of Universal SQL and it has made it possible to deliver incredibly fast, interactive apps. The DuckDB team and community are phenomenal.”
DatabaseMaker says so · source ↗“Enabled lightweight, high-performance local querying for structured data analysis.”
DatabaseMaker says so · source ↗“Provides low latency, high scalability for data caching and analysis.”
DatabaseMaker says so · source ↗“DuckDB powers our analytics engine for SQLite, CSV, Excel files and more. We couldn't have built CamelAI without DuckDB. It's enabled us to execute SQL queries that used to take minutes in seconds.”
DatabaseMaker says so · source ↗“Our built-in SQL cells are powered by duckdb, which makes it possible to execute blazingly fast queries against Python dataframes as well as external databases like SQLite and Postgres.”
DatabaseMaker says so · source ↗“DuckDB is an in-process SQL OLAP database management system. It’s the fastest-improving in-process SQL OLAP database on the planet. At MotherDuck, we are grateful to be part of the broader DuckDB ‘flock’ and to give back to this community by developing thoughtful, accessible projects like the DuckDB UI. To Hannes and Mark, the creators of DuckDB: We are deeply grateful for the strength of our partnership, and we look forward to co-creating the future of analytics with you. Onward!”
DatabaseMaker says so · source ↗“The incredible in-process SQL database that makes DataKit possible. DuckDB's WebAssembly support lets us run a full-featured SQL engine directly in the browser, processing gigabytes of data locally at lightning speed. Absolute game-changer! 🦆”
DatabaseMaker says so · source ↗“Fast SQL queries directly on Parquet catalog.”
DatabaseMaker says so · source ↗“It’s insanely fast for local analytical workloads, and integrates beautifully with Pandas. Perfect for CSVs and Parquet files in browser-based workflows. It also doesn’t need a server or setup which is a huge win for interactive demos. DuckDB + Pyodide works surprisingly well. You can compile DuckDB to WebAssembly and run SQL queries in-browser with zero backend.”
DatabaseMaker says so · source ↗“DuckDB WASM is used as database engine in the browser.”
DatabaseMaker says so · source ↗“DuckDB is at every layer of the Summer platform. Its light weight executable, high performance, and operational ergonomics make it the perfect for moving, querying, and visualizing data.”
DatabaseMaker says so · source ↗“Beautiful option for quick queries on large datasets”
DatabaseMaker says so · source ↗“We appreciate DuckDB and its innovative approach to the database ecosystem for analytics.”
DatabaseMaker says so · source ↗Open source: a project that declares DuckDB as a dependency in its public code — verifiable, but not necessarily a live product.
What makers say
13 makers on why they use DuckDB, in their own words on Product Hunt.
DuckDB is an in-process SQL OLAP database management system. It’s the fastest-improving in-process SQL OLAP database on the planet. At MotherDuck, we are grateful to be part of the broader DuckDB ‘flock’ and to give back to this community by developing thoughtful, accessible projects like the DuckDB UI. To Hannes and Mark, the creators of DuckDB: We are deeply grateful for the strength of our partnership, and we look forward to co-creating the future of analytics with you. Onward!
DuckDB does the heavy lifting for dataset preparation. It lets us process and structure large API responses efficiently, so users get clean, query-ready datasets without the overhead of a heavier database.
DataboxSep 2026 ↗DuckDB powers our analytics engine for SQLite, CSV, Excel files and more. We couldn't have built CamelAI without DuckDB. It's enabled us to execute SQL queries that used to take minutes in seconds.
Our built-in SQL cells are powered by duckdb, which makes it possible to execute blazingly fast queries against Python dataframes as well as external databases like SQLite and Postgres.
marimoSep 2026 ↗We use DuckDB WebAssembly as the core of Universal SQL and it has made it possible to deliver incredibly fast, interactive apps. The DuckDB team and community are phenomenal.
EvidenceSep 2026 ↗Loved and watch-outs
Themes that recur in makers' words and Hacker News comments, each linked to what it summarises, with how Product Hunt tags its reviews.
Reliability and open issues
- [Feature Request] Context Managers in Python API👍 26 · opened Feb 2022 · active Mar 2026
- Query with hive partitioning much slower than hardcoded path👍 22 · opened Jul 2024 · active Jun 2026
- Add support for SERIAL and BIGSERIAL type👍 20 · opened May 2021 · active Jan 2026
- ALTER TABLE support for adding foreign key constraints👍 15 · opened Dec 2018 · active Sep 2026
- DuckDB does not follow XDG Base Directory Spec👍 12 · opened Apr 2024 · active Apr 2026
Alternatives to DuckDB
All alternatives by situation →Questions makers ask about DuckDB
Is DuckDB free?
Yes — it is free, open-source software.
Is DuckDB open source or self-hostable?
Open source. source ↗
Can AI coding agents work with DuckDB?
It serves an llms.txt docs index.
Who uses DuckDB?
14 makers' products we track, each with a source, and 44 open-source projects declare it in their code. source ↗