I Analyzed 10 Million Records in 47 Seconds Using Python + DuckDB (No Spark, No Cloud)
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Most engineers reach for Spark or BigQuery the moment they hear "10 million records." I did too — until I tried DuckDB. What happened next surprised me: 47 seconds, on my laptop, with 4GB RAM. No cluster. No cloud bill. No YAML configuration files. Let me show you exactly how I did it. 🤔 Why DuckDB? DuckDB is an in-process analytical database — think SQLite, but built for OLAP workloads. It runs entirely in memory using columnar storage and vectorized execution. The numbers speak