Is iDBQuery just a wrapper around ChatGPT?
No — iDBQuery is a full data platform, not a thin chatbot wrapper. It connects and federates many sources into one live model, writes and runs real SQL, cites every figure to source rows, and deploys in your VPC or air-gapped. It is model-agnostic and does not send your data to a public chatbot.
It is a fair question in a world of thin AI wrappers, and the honest answer is that iDBQuery is a substantial platform built around your data, not a chat box pointed at a public model.
- Real data engineering under the hood. It connects to databases, warehouses, files and APIs and federates them into one live queryable model — the hard part a wrapper does not do.
- It runs real queries. Questions become actual SQL executed against your data, so answers are computed, not generated from a model's memory.
- Cited, not conversational guesses. Every figure links to its exact source rows, which a generic chatbot cannot do.
- A semantic layer interprets cryptic schemas, and an Analyst agent investigates multi-step questions autonomously.
- Deploy anywhere. Cloud, your VPC, on-prem or fully air-gapped, plus a Desktop app and Embedded SDK — so your data does not have to go to any external chat service.
On the AI itself, iDBQuery is model-agnostic: it is not tied to a single provider, and your data is not fed into a public chatbot to be answered. The intelligence is one component inside a system that handles connection, federation, querying, citation and governance. So while the front door feels like a friendly chat, what is behind it is a purpose-built data platform — which is exactly why the answers are traceable and the deployment can be locked down.
Updated 2026-06-22