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Pedro Holanda - DuckDB: Bringing analytical SQL directly to your Python shell
Discover DuckDB, a lightweight in-memory relational database bringing analytical SQL to Python, with fast query performance, scalability, and Python DBI API compliance, ideal for scientific computing and data science applications.
- DuckDB is a lightweight, in-memory relational database that brings analytical SQL directly to Python
- It’s designed for analytical workloads and is optimized for fast query performance and scalability
- DuckDB stores data in columnar format, allowing for efficient compression and query processing
- It supports various compression techniques, including run-length encoding (RLE), bit-packing, and dictionary compression
- DuckDB has a Python DBI API compliance, making it easy to integrate with existing Python applications
- It supports user-defined functions (UDFs) and has a plugin architecture for extending its functionality
- DuckDB is pre-release, with the main contributor being the Research Centre for Mathematics and Informatics from Amsterdam
- It has seen over 32,000 downloads in its early stages, with growing demand and increasing popularity
- DuckDB has been used in various projects, including scientific computing and data science applications