iDBQuery vs a reverse-ETL tool: how are they different?
A reverse-ETL tool moves modelled data out of your warehouse into operational apps like your CRM or ad platforms; it is about activation, not answering questions, whereas iDBQuery does the opposite job, letting you ask your data questions in plain language and get cited answers, so the two solve different problems.
Reverse-ETL tools solve a real problem: they sync clean, modelled data from your warehouse into the operational tools your teams use, pushing customer attributes into a CRM, audiences into ad platforms, or metrics into a spreadsheet. If your goal is to activate warehouse data in downstream apps, reverse-ETL is exactly the right category.
iDBQuery is not a reverse-ETL tool and does not try to be. It sits on the analysis side:
- Ask, do not sync. You pose a plain-language question and iDBQuery writes the SQL, queries your live sources and returns a cited number, chart, table or dashboard.
- Cited to the row. Every figure links back to the exact source rows behind it.
- Across many sources. Databases, warehouses, Excel, CSV, Sheets, PDFs, folders (with OCR) and REST APIs unify into one live model, with no need to first centralise everything in a warehouse.
- Deploy in your walls. Cloud, VPC, Desktop or air-gapped.
They can be complementary in a stack: reverse-ETL keeps your operational tools populated, while iDBQuery lets people ask questions and get trustworthy answers about what is happening. If you are evaluating the two against each other, it usually means the underlying need is answers, not activation, and that is what iDBQuery is built for.
Updated 2026-06-22