# DuckDB

> columnar OLAP database

**Wikidata**: [Q111343643](https://www.wikidata.org/wiki/Q111343643)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/DuckDB)  
**Source**: https://4ort.xyz/entity/duckdb

## Summary
DuckDB is a free, open-source columnar OLAP database developed by German computer scientist Hannes Mühleisen. It is designed for analytical processing of data, offering a lightweight and embeddable solution for querying structured data with high performance.

## Key Facts
- **Type**: Columnar OLAP database management system
- **Creator**: Hannes Mühleisen (German computer scientist, born 1984)
- **License**: MIT License
- **Latest Stable Version**: 0.10.1 (released 2024-03-18)
- **Programming Language**: C++
- **File Format**: DuckDB database file
- **Website**: [duckdb.org](https://duckdb.org/)
- **Source Code**: Hosted on [GitHub](https://github.com/duckdb/duckdb)
- **Twitter Handle**: @duckdb (since 2019)
- **Mastodon Address**: duckdb@mastodon.social (since 2023-11-15)

## FAQs
### Q: What is DuckDB used for?
A: DuckDB is primarily used for analytical processing of structured data, offering high-performance querying in a lightweight, embeddable format. It is suitable for OLAP workloads and supports SQL-based operations.

### Q: Is DuckDB free to use?
A: Yes, DuckDB is free software distributed under the MIT License, allowing users to run, study, modify, and distribute it and its modified versions without restrictions.

### Q: Who developed DuckDB?
A: DuckDB was developed by German computer scientist Hannes Mühleisen, with contributions from developers like Mark Raasveldt.

### Q: What programming language is DuckDB written in?
A: DuckDB is primarily written in C++.

### Q: How do I get started with DuckDB?
A: You can download the source code from the official GitHub repository, follow the installation instructions on the [DuckDB website](https://duckdb.org/), and begin querying data using SQL.

## Why It Matters
DuckDB addresses the need for a lightweight, embeddable database solution optimized for analytical processing. Unlike traditional OLAP databases, DuckDB is designed to be easily integrated into applications, making it accessible for developers who require high-performance querying without the overhead of large-scale database systems. Its columnar storage format and SQL support enable efficient data analysis, while its open-source nature fosters community contributions and customization. DuckDB’s performance and flexibility make it a valuable tool for data-driven applications, from embedded systems to large-scale analytics.

## Notable For
- **Embeddable Design**: DuckDB is designed to be easily integrated into applications, allowing developers to leverage its analytical capabilities without requiring a separate database server.
- **Columnar Storage**: Its columnar storage format optimizes performance for analytical queries, making it efficient for OLAP workloads.
- **Open-Source**: Released under the MIT License, DuckDB encourages community contributions and customization, fostering a collaborative development environment.
- **Cross-Platform**: Available on multiple platforms, including Windows, macOS, and Linux, ensuring broad compatibility for users.
- **SQL Support**: Fully supports SQL, enabling users to query data using familiar syntax and tools.

## Body
### Overview
DuckDB is a columnar OLAP database management system developed by Hannes Mühleisen. It is designed to be lightweight and embeddable, making it suitable for analytical processing of structured data. The database supports SQL and is optimized for performance, particularly in OLAP scenarios.

### Development
- **Creator**: Hannes Mühleisen, a German computer scientist born in 1984.
- **License**: MIT License, allowing free use, modification, and distribution.
- **Source Code**: Hosted on GitHub under the [duckdb/duckdb](https://github.com/duckdb/duckdb) repository.

### Versions
DuckDB has released multiple versions, with the latest stable version being 0.10.1 (2024-03-18). Key releases include:
- **0.8.0**: Released on 2023-05-17, marked as a stable version.
- **0.9.2**: Released on 2023-11-14, also marked as stable.
- **0.10.0**: Released on 2024-02-13, with further updates in 0.10.1.

### Features
- **Columnar Storage**: Optimized for analytical queries, improving performance in OLAP workloads.
- **SQL Support**: Fully supports SQL, enabling users to query data using standard syntax.
- **Embeddable**: Designed to be integrated into applications, allowing for flexible deployment.

### Community and Support
- **Twitter**: @duckdb since 2019.
- **Mastodon**: duckdb@mastodon.social since 2023-11-15.
- **GitHub**: Active development and issue tracking on the [official repository](https://github.com/duckdb/duckdb).

### Technical Details
- **Programming Language**: Primarily written in C++.
- **File Format**: Uses the DuckDB database file format for storage.
- **Platforms**: Available on Windows, macOS, and Linux.

DuckDB’s design and features make it a versatile tool for data analysis, combining performance, flexibility, and ease of use.

## References

1. [2025](https://github.com/EvanLi/Github-Ranking/blob/master/Data/github-ranking-2025-07-06.csv)
2. [Release 0.3.4. 2022](https://github.com/duckdb/duckdb/releases/tag/v0.3.4)
3. [Release 0.5.1. 2022](https://github.com/duckdb/duckdb/releases/tag/v0.5.1)
4. [Release 0.6.1. 2022](https://github.com/duckdb/duckdb/releases/tag/v0.6.1)
5. [Release 0.7.1. 2023](https://github.com/duckdb/duckdb/releases/tag/v0.7.1)
6. [Announcing DuckDB 0.8.0. 2023](https://duckdb.org/2023/05/17/announcing-duckdb-080.html)
7. [Release 0.8.1. 2023](https://github.com/duckdb/duckdb/releases/tag/v0.8.1)
8. [Release 0.9.1. 2023](https://github.com/duckdb/duckdb/releases/tag/v0.9.1)
9. [Release 0.9.2. 2023](https://github.com/duckdb/duckdb/releases/tag/v0.9.2)
10. [Release 0.10.0. 2024](https://github.com/duckdb/duckdb/releases/tag/v0.10.0)
11. [Release 0.10.1. 2024](https://github.com/duckdb/duckdb/releases/tag/v0.10.1)
12. [Release 0.10.2. 2024](https://github.com/duckdb/duckdb/releases/tag/v0.10.2)
13. [Release 0.10.3. 2024](https://github.com/duckdb/duckdb/releases/tag/v0.10.3)
14. [Release 1.0.0. 2024](https://github.com/duckdb/duckdb/releases/tag/v1.0.0)
15. [Release 1.1.0. 2024](https://github.com/duckdb/duckdb/releases/tag/v1.1.0)
16. [Release v1.1.1 Bugfix Release · duckdb/duckdb](https://github.com/duckdb/duckdb/releases/tag/v1.1.1)
17. [Release 1.1.2. 2024](https://github.com/duckdb/duckdb/releases/tag/v1.1.2)
18. [Release 1.1.3. 2024](https://github.com/duckdb/duckdb/releases/tag/v1.1.3)
19. [Release 1.2.0. 2025](https://github.com/duckdb/duckdb/releases/tag/v1.2.0)
20. [Release 1.2.1. 2025](https://github.com/duckdb/duckdb/releases/tag/v1.2.1)
21. [Release 1.2.2. 2025](https://github.com/duckdb/duckdb/releases/tag/v1.2.2)
22. [Release 1.3.0. 2025](https://github.com/duckdb/duckdb/releases/tag/v1.3.0)
23. [Release 1.3.1. 2025](https://github.com/duckdb/duckdb/releases/tag/v1.3.1)
24. [Release 1.3.2. 2025](https://github.com/duckdb/duckdb/releases/tag/v1.3.2)
25. [Release 1.4.0. 2025](https://github.com/duckdb/duckdb/releases/tag/v1.4.0)
26. [Release 1.4.1. 2025](https://github.com/duckdb/duckdb/releases/tag/v1.4.1)
27. [Release 1.4.2. 2025](https://github.com/duckdb/duckdb/releases/tag/v1.4.2)
28. [Release 1.4.3. 2025](https://github.com/duckdb/duckdb/releases/tag/v1.4.3)
29. [Source](https://github.com/duckdb/duckdb/releases/tag/v1.4.4)
30. [Source](https://github.com/duckdb/duckdb/releases/tag/v1.5.0)
31. [Source](https://duckdb.org/2026/03/09/announcing-duckdb-150)
32. [Release 1.5.1. 2026](https://github.com/duckdb/duckdb/releases/tag/v1.5.1)
33. [Source](https://github.com/duckdb/duckdb)