duckdb

Project Overview

DuckDB is a high-performance analytical database system designed to be fast, reliable, portable, and easy to use. It provides a rich SQL dialect with support for arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs, maps), and several extensions. DuckDB is available as a standalone CLI application and has clients for Python, R, Java, Wasm, and more.

Key Features

• High-performance analytical SQL database
• Supports arbitrary and nested correlated subqueries, window functions, and collations
• Supports complex types (arrays, structs, maps)
• Several extensions designed to make SQL easier to use
• Standalone CLI application
• Clients for Python, R, Java, Wasm, and more
• Deep integrations with pandas and dplyr

Target Audience

• Data scientists and analysts
• Developers who need an embeddable analytical database
• Teams who need high-performance SQL queries

Quick Start

1. Visit the installation page for instructions
2. CLI: run duckdb directly
3. Python: pip install duckdb
4. Data import: SELECT * FROM 'myfile.csv'; or SELECT * FROM 'myfile.parquet';

Core Advantages

• High-performance analytical queries
• Embeddable with zero configuration
• Rich SQL dialect support
• Multi-language clients
• Open-source under MIT license

System Requirements

• OS: Cross-platform
• Additional Dependencies: CMake, Python 3, C++17-compliant compiler (for development)