To recap from Part 1, the goals of this rabbit hole project were to use DuckDB’s fast processing engine alongside an existing Visual FoxPro 9 (VFP) application, to take advantage of DuckDB’s import/query speed on large datasets (100M+ rows, ~2GB) while keeping VFP as the primary application layer. The primary technical obstacle was that DuckDB only ships a 64-bit ODBC …
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To recap from Part 1, the goals of this rabbit hole project were to use DuckDB’s fast processing engine alongside an existing Visual FoxPro 9 (VFP) application, to take advantage of DuckDB’s import/query speed on large datasets (100M+ rows, ~2GB) while keeping VFP as the primary application layer. The primary technical obstacle was that DuckDB only ships a 64-bit ODBC …
Read More »
To recap from Part 1, the goals of this rabbit hole project were to use DuckDB’s fast processing engine alongside an existing Visual FoxPro 9 (VFP) application, to take advantage of DuckDB’s import/query speed on large datasets (100M+ rows, ~2GB) while keeping VFP as the primary application layer. The primary technical obstacle was that DuckDB only ships a 64-bit ODBC …
Read More »
To recap from Part 1, the goals of this rabbit hole project were to use DuckDB’s fast processing engine alongside an existing Visual FoxPro 9 (VFP) application, to take advantage of DuckDB’s import/query speed on large datasets (100M+ rows, ~2GB) while keeping VFP as the primary application layer. The primary technical obstacle was that DuckDB only ships a 64-bit ODBC …
Read More »
To recap from Part 1, the goals of this rabbit hole project were to use DuckDB’s fast processing engine alongside an existing Visual FoxPro 9 (VFP) application, to take advantage of DuckDB’s import/query speed on large datasets (100M+ rows, ~2GB) while keeping VFP as the primary application layer. The primary technical obstacle was that DuckDB only ships a 64-bit ODBC …
Read More »
To recap from Part 1, the goals of this rabbit hole project were to use DuckDB’s fast processing engine alongside an existing Visual FoxPro 9 (VFP) application, to take advantage of DuckDB’s import/query speed on large datasets (100M+ rows, ~2GB) while keeping VFP as the primary application layer. The primary technical obstacle was that DuckDB only ships a 64-bit ODBC …
Read More »
To recap from Part 1, the goals of this rabbit hole project were to use DuckDB’s fast processing engine alongside an existing Visual FoxPro 9 (VFP) application, to take advantage of DuckDB’s import/query speed on large datasets (100M+ rows, ~2GB) while keeping VFP as the primary application layer. The primary technical obstacle was that DuckDB only ships a 64-bit ODBC …
Read More »
To recap from Part 1, the goals of this rabbit hole project were to use DuckDB’s fast processing engine alongside an existing Visual FoxPro 9 (VFP) application, to take advantage of DuckDB’s import/query speed on large datasets (100M+ rows, ~2GB) while keeping VFP as the primary application layer. The primary technical obstacle was that DuckDB only ships a 64-bit ODBC …
Read More »
To recap from Part 1, the goals of this rabbit hole project were to use DuckDB’s fast processing engine alongside an existing Visual FoxPro 9 (VFP) application, to take advantage of DuckDB’s import/query speed on large datasets (100M+ rows, ~2GB) while keeping VFP as the primary application layer. The primary technical obstacle was that DuckDB only ships a 64-bit ODBC …
Read More »
In the summer of 2026, while searching for something else online I ran across a reference for an interesting relational database tool called DuckDb. According to Wikipedia: DuckDB is an open-source column-oriented relational database management system (RDBMS). DuckDB was originally developed in the Netherlands as a way to address the need for an in-process OLAP database solution and the result …
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GuruGraffiti Writing On The Walls Of The Internet
