Is iDBQuery a conversational analytics platform?
Yes. iDBQuery is a conversational analytics platform: you ask questions about your data in plain language and get answers back as numbers, charts, tables and live dashboards. What sets it apart is that it works across all your sources at once and cites every figure back to its exact source row.
Conversational analytics means getting answers from your data by asking in natural language instead of building queries or navigating a BI tool, and iDBQuery is squarely that — but it's built to avoid the usual weaknesses of the category.
What makes it conversational:
- Ask in plain language. No SQL, no drag-and-drop report builder — just type or speak the question.
- Get real output. Answers come back as a number, a chart, a table, or a live dashboard you can keep.
- Follow up naturally. You can refine and drill in as the conversation goes, the way you'd probe a human analyst.
Where iDBQuery separates itself from a typical conversational-analytics or "chat with your data" tool:
- One live model across everything. It queries your databases, spreadsheets, files, APIs and warehouses together, so a question can span sources that were never joined before — no warehouse or pipeline required.
- Cited answers. Every figure is traced back to the exact source rows, so conversation doesn't mean taking an AI's word on faith.
- It doesn't just retrieve — it computes. For quantitative questions it writes and runs real SQL, so numbers are calculated from your data, not paraphrased.
- Deploy anywhere. Cloud, your own VPC, a single on-premise server, or fully air-gapped, with a Desktop app and Embedded SDK.
So yes, iDBQuery is a conversational analytics platform — and the conversation is backed by verifiable, source-cited querying rather than a confident-sounding guess.
Updated 2026-06-22