How is iDBQuery different from an AI copilot inside a spreadsheet?

An AI copilot embedded in a spreadsheet is handy for tidying or summarizing the data already in that file — but it's boxed into one workbook. It can't reach your databases, can't join across systems, and works off whatever someone happened to paste in. iDBQuery operates on your actual data estate.

• Beyond a single file. It connects to MySQL, Postgres, MongoDB, Excel, CSV, PDFs and REST APIs, then builds one live model across all of them.
• Cross-source answers. One plain-language question can join a database table to a spreadsheet to a PDF — impossible inside a single sheet.
• Live, not pasted. Answers reflect current source data instead of a manual copy.
• Cited and auditable. Every figure links back to its exact source row.
• Investigative depth. An Analyst agent can chase a question across sources, far beyond cell-level assistance.

A spreadsheet copilot makes one file smarter; iDBQuery makes your whole data estate answerable. If your real question is 'how do these numbers relate across the systems we actually use,' a copilot trapped in one sheet can't reach far enough — and it can't show you where its numbers came from.