iDBQuery vs ThoughtSpot: what's the difference?
ThoughtSpot is a search-and-AI analytics platform where you type into a search bar (and its Spotter agent) to explore data modelled on a connected warehouse; iDBQuery is a plain-language chat that spans databases, files, PDFs and APIs, cites every number to its source row, and can run air-gapped.
ThoughtSpot pioneered search-driven analytics. You ask via a search bar, its Spotter AI helps, and results land on Liveboards. It is powerful once your data is modelled into worksheets on a connected cloud warehouse, and it runs as a cloud service.
iDBQuery overlaps on the promise of natural-language analytics but differs in what it takes to get there:
- No warehouse or worksheet modelling required. iDBQuery connects directly to your databases, warehouses, spreadsheets, PDFs, folders (with OCR) and APIs, and builds one live model on top, with no upstream modelling project.
- Full-sentence questions, not keyword search. You ask the way you would ask a person, and iDBQuery writes the SQL for you.
- Cited answers. Every number links to the exact source rows behind it.
- Deploy anywhere. Cloud, your own VPC, a Desktop app, or fully air-gapped, which matters when data cannot go to a cloud service.
ThoughtSpot is a leader in search-based BI for organisations already invested in a modelled cloud warehouse. iDBQuery is a better fit when your data is scattered across systems and files, when you need answers auditable to the row, or when deployment has to stay inside your own environment.
Updated 2026-06-22