
Data engineers use this free tool to query Parquet and CSV files on S3 without ETL. Rated 4.8/5 on G2, it runs in-process with zero infra setup.
DuckDB works well when querying local Parquet files or datasets under 1 GB directly within Python or R. The friction starts when workloads require frequent writes and updates, or when unexplained memory issues cause pipeline jobs to fail. Before buying, compare vs MotherDuck, which adds cloud storage, collaboration, and scale to the local DuckDB engine.
Oleh KemFounder & Lead AnalystQuery 50GB Parquet files on S3 directly from Python without ETL, returning results in seconds
Replace pandas aggregations with SQL-based DuckDB queries for 10-50x faster group-by operations
Run dbt models locally against DuckDB instead of cloud warehouses to cut development cycle time
Use DuckDB as a compute engine over Delta Lake or Iceberg tables without a dedicated cluster
Prices last verified May 30, 2026
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One of the most capable databases platforms available for free, trusted by In-process analytics and local data analysis.
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