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.
A general chatbot, or an answer from your data
| General AI chatbot | iDBQuery | |
|---|---|---|
| Where the answer comes from | Its training data and whatever you paste in | A query it wrote against your live sources |
| Can it be wrong confidently | Yes, and you may not be able to tell | The cited source row is there to check |
| Knows your numbers | Only what you paste | Connected to them |
| Auditability | None beyond the conversation | Query and source row attached to every figure |
| General knowledge, drafting, explaining a concept | What it is for | Not what it is for |
When the other one is the right choice
For anything that is not about your own data — drafting, explaining a concept, writing the SQL you will run yourself — a general assistant is the right tool and iDBQuery has no opinion about it. The distinction is narrow and it matters: a number about your business that cannot be traced to a row in your systems is not an answer, however fluently it is phrased.
Updated 2026-08-08