# DuckDB

> An analytical in-process SQL database for high-performance analytics

- Canonical URL: https://www.fosshunter.com/tools/duckdb
- JSON export: https://www.fosshunter.com/tools/duckdb.json
- Website: https://github.com/duckdb/duckdb
- Category: Database
- Open source: yes
- Self-hostable: yes
- Verified listing: no
- Featured: no
- Published at: 2026-11-03T05:50:38+00:00
- Catalog revision: `1865733083`

## Repository metrics (point-in-time)

- Repository: https://github.com/duckdb/duckdb
- Stars: 42797
- Forks: 4160
- Open issues: 1147
- License: MIT
- Last push: 2026-11-03T23:16:18+00:00
- Metrics observed at (synced_at): 2026-11-04T06:06:42+00:00
- Archived: no

Tags: Database, Analytics, SQL, OLAP
Tech stacks: C++, CMake, python

## Features
- Offers a rich SQL dialect with support for complex types and window functions. *(highlighted)*
- Integrates seamlessly with popular data tools like pandas and dplyr. *(highlighted)*
- Enables direct querying of CSV and Parquet files without complex setup. *(highlighted)*

## Description

DuckDB is a high-performance analytical database system designed to be fast, reliable, and portable. It provides a rich SQL dialect and deep integrations with Python, R, and Java for seamless data analysis in-process.

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Source: [FOSSHunter — DuckDB](https://www.fosshunter.com/tools/duckdb) — cite `synced_at` and the catalog revision when quoting metrics.
Interpretation rules: https://www.fosshunter.com/llms-full.txt