Why DuckDB has become my go-to tool for data processing, offering simplicity, speed, and powerful features.

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DuckDB has become a preferred choice for data processing due to its simplicity, speed, and rich feature set. As an in-process OLAP SQL engine, it delivers 100-1000x performance improvements over OLTP databases like SQLite or Postgres. Key advantages include zero-dependency installation, near-instant startup times ideal for CI/testing, ability to query files directly (CSV, Parquet, JSON) including from S3 or web URLs, and SQL dialect innovations like EXCLUDE, COLUMNS, and QUALIFY keywords. The tool supports lazy evaluation in Python for easier pipeline development, offers ACID compliance for bulk operations, and provides low-friction community extensions for custom functionality. DuckDB eliminates the complexity of distributed systems like Spark for most datasets that fit on modern large-memory machines.

Why DuckDB is my first choice for data processing

# Why DuckDB is my first choice for data processing