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This is not a lab benchmark. It is an engineering gut-check: same query, different machines, different storage. The numbers are messy, the comparisons are unfair, and yet they are surprisingly useful.

I did not want a heavy data platform. I wanted a stack that was simple enough to ship quickly, cheap enough to run, and flexible enough to grow later. Character Design I tend to choose practical tool

Exploring JSON in DuckDB with the openFDA Animal & Veterinary Adverse Events API A practical, end‑to‑end walkthrough using the DuckDB CLI with JSON When working with Modern data, JSON is everywhere — APIs, logs, manifests, telemetry, and data feeds. ...

What if you could run full SQL queries, including JOINs, aggregations, and even remote Parquet file reads, directly inside a Cloudflare Worker? No database server, no connection pool, no cold-start latency from external services. Just DuckDB, compile...
