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DuckDB's DuckLake is an open‑standard, SQL‑driven data lake and catalog format that simplifies lakehouse architecture by managing metadata in a database while storing data in scalable Parquet files, offering multi‑user collaboration, time‑travel queries, and MIT licensing.
This article demonstrates how to create a lightweight, offline MySQL CVE scanning and reporting tool by cloning the CVEProject JSON repository, leveraging DuckDB for fast JSON parsing and SQL queries, and providing simple shell commands for data updates, version scanning, and vulnerability matching.
The article introduces DuckDB, a high‑performance embedded analytical database, outlines its new release’s storage, performance, and memory improvements, describes its C/C++ integration and build process, and lists key feature changes such as parallel execution, novel compression methods, and enhanced SQL capabilities.