iDBQuery vs a spreadsheet dashboard: what's the difference?

A spreadsheet dashboard, tabs of pivot tables, charts and linked cells, is the most familiar analytics tool in the world. It is flexible, cheap, requires no new software, and almost everyone can read one. For a small, stable, one-off report, a spreadsheet is often exactly right.

The pain shows up as it grows: data is copied in by hand, refreshes are manual, formulas and links break silently, versions multiply, and no one can easily trace a number back to its true source.

iDBQuery removes that maintenance burden:

• Ask, don't rebuild. Type a plain-language question and get a live number, chart, table or dashboard; nothing to wire up by hand.
• Cited answers. Every figure links to the exact source rows, so you can trust and audit it rather than hunt through formulas.
• One live model across sources. It queries databases, warehouses, spreadsheets, APIs and documents together, always against current data, with no copy-paste.
• Deploy anywhere. Cloud, VPC, air-gapped, or a Desktop app.

And because iDBQuery reads spreadsheets and CSVs too, you can keep the spreadsheets you rely on while letting iDBQuery join them to your databases and answer questions that a static dashboard never could, without the manual refresh and broken-link tax.