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.txt
Ask your AI about this, with this page as the source:ChatGPT ↗Claude ↗Perplexity ↗

Where 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.

The maker says so 14Declared in code 44How evidence is collected →
DataboxAgentic analytics platform for you and your agents.

“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 ↗
EvidenceBusiness intelligence as 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 ↗
CamelAIAI Data Analyst - Chat with your data

“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 ↗
marimoThe next-generation Python notebook

“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 ↗
MotherDuckThe ducking simple data warehouse for analytics

“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 ↗
DatakitThe data platform that works your way

“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 ↗
PreswaldAI agent for building data apps, dashboards and reports

“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 ↗
SummerThe first end to end DuckDB powered data stack

“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 ↗
datajoiData Agents Managing Your Data Analytics

“We appreciate DuckDB and its innovative approach to the database ecosystem for analytics.”

DatabaseMaker says so · source ↗
Aix-DBAix-DB 基于 LangChain/LangGraph 框架,结合 MCP Skills 多智能体协作架构,实现自然语言到数据洞察的端到端转换。DatabaseIn its code · 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!
MotherDuckSep 2026 ↗
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.
CamelAISep 2026 ↗
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.

On Product Hunt 5.0★ · 16 reviews
fast performance 6in-process SQL engine 5WebAssembly support 4interactive apps 2local analytical workloads 2
Read the reviews on Product Hunt ↗

Reliability and open issues

Most wanted on GitHubOpen on 2026-10-04 in duckdb/duckdb, with activity in the last year — issues and feature requests by 👍.

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 ↗