Honest comparisons

These are excellent tools. They solve a different problem — "how do I connect Excel to X?" Sparrow solves "how do I make every dataset look the same to Excel?" The short version:

ProductThe user thinks about
Power Querytables
DuckDB add-insSQL
ODBC driversdrivers
Market data terminalsthe terminal
Sparrowformulas

Why not Power Query?

Power Query is Excel's built-in ETL. It's very good at importing and shaping a table once. It is not trying to be a live analytical workspace.

I want to…Power QuerySparrow
Read Parquet from a local folder
Build formula-driven workbooks (data addressed by series, in cells)✗ (imports tables)
Know, unattended, that the source has new data✓ ribbon + per-column signals
See exactly which values were revised, with before/after✗ (full reload)
Run the same workbook against local / NAS / URL / bucket / live server✗ (per-source queries)✓ change the Source
Continuous calendars with forward-fill, mixed-frequency synthesismanual M code✓ built in
Analytics (stats, spreads, correlations, volatility) without a server✓ offline

Use Power Query when you want a one-off shaped import. Use Sparrow when the workbook is the application.

Why not DuckDB?

DuckDB is a superb analytical engine, and SQL-in-a-cell add-ins built on it are genuinely close cousins — for engineers. The difference is who the tool asks you to be.

I want to…DuckDB add-insSparrow
Query local Parquet with full SQL✓ (their home turf)✗ by design — no SQL anywhere
Give analysts data without teaching SQL✓ series IDs in formulas
A publisher contract (drop a file, it just works, with names/units)✗ (paths + schemas)✓ the open dataset format
Freshness & revision signals on the sheet
Same workbook from folder to live server

If your team writes SQL fluently and wants ad-hoc queries, use DuckDB — sincerely. If your team lives in formulas, Sparrow is built for them.

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