DuckDB, Postgres, and Parquet: when one SQL query becomes a workflow

Short summary

DuckDB enables SQL queries directly across multiple sources—PostgreSQL tables, Parquet files, and S3 storage—without staging data first. While excellent for ad-hoc analysis, production workflows quietly accumulate hidden complexity: credentials, schema validation, logging, retries, and scheduling. A workflow layer keeps operational context visible instead of scattered across scripts.

• •DuckDB queries combine PostgreSQL, Parquet, and S3 sources without intermediate exports
• •Simple queries grow into complex pipelines when reused, fragmenting responsibilities across credentials, scheduling, and logging
• •A workflow layer like DBConvert Streams manages operational concerns separately from the SQL engine

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