How is iDBQuery different from a general AI chatbot?
Unlike a general AI chatbot, iDBQuery connects directly to your real databases, spreadsheets, PDFs and APIs, then answers by actually running queries against your live data and citing the exact source rows. A general chatbot only knows its training data and will guess or invent numbers it cannot verify.
A general AI chatbot is a closed box: it answers from whatever it was trained on, has no access to your systems, and cannot show where a number came from. Ask it about your revenue and it will either refuse or make something up. iDBQuery is built around your data, not a model's memory.
- It connects to real sources — MySQL, Postgres, MongoDB, Excel, CSV, PDFs and REST APIs — and queries them live.
- Every answer is cited. Each number traces back to the exact source row, so you can audit it rather than trust it blindly.
- It writes and runs SQL for you against one live model built from all your sources, instead of hallucinating a plausible-sounding figure.
- It stays current. Because it queries your data in place, answers reflect what is true right now, not a snapshot from a training cutoff.
The AI in iDBQuery is the translation layer that turns your plain-language question into a precise query — the answer itself always comes from your own data. That is the difference between a confident guess and a verifiable fact.
Updated 2026-06-22