DuckDB is my preferred data processing tool for its simplicity, speed, and features. It's an open-source SQL engine that runs in-process, optimized for analytics, allowing fast operations like joins and aggregations. DuckDB easily installs via Python with no dependencies, speeds up CI testing, and simplifies SQL writing. Its friendly SQL dialect, support for various file types, and full ACID compliance enhance its usability in data pipelines. Additionally, it has a robust documentation and community support for building high-performance UDFs, making it a strong choice over other engines like Spark or Postgres.
Why DuckDB Is My First Choice for Data Processing
