iDBQuery vs Power BI: what's the difference?
Power BI is a dashboard-building tool where someone models the data and designs reports up front; iDBQuery lets anyone ask a question in plain language and get a cited answer in seconds with no modeling or report-building. iDBQuery answers the unplanned questions Power BI dashboards were never built to handle.
Power BI is excellent at curated, repeatable dashboards — but getting there means data prep, a semantic model, and an analyst to build each visual. New questions mean a new request and a wait. iDBQuery flips that: you ask, it answers.
- No pre-built reports required. Connect a source and ask immediately — iDBQuery writes the query and returns the answer.
- Plain language, not DAX. No need to learn a modeling or formula language.
- Cited, auditable answers. Every number traces back to its exact source row, so you can verify rather than trust a black-box visual.
- Spans everything at once. It builds one live model across databases, spreadsheets, PDFs and APIs — no warehouse or single dataset needed first.
- Ad-hoc by design. It shines on the one-off question a dashboard was never built to answer.
Many teams use both: Power BI for the standing executive dashboards everyone watches, and iDBQuery for the constant stream of follow-up and investigative questions those dashboards trigger. iDBQuery can also generate its own charts, tables and shareable reports, so it covers a lot of the same ground without the build time.
Power BI and iDBQuery, side by side
| Power BI | iDBQuery | |
|---|---|---|
| Getting the first answer | Model the data, build the report, publish it — typically days to weeks | Connect a source and ask; no model or report to build first |
| Asking something nobody planned for | New request into the BI backlog | Type the question; the query is written for you |
| Who can use it | Report authors need DAX and the data model | Anyone who can write the question in plain language |
| Where the number came from | The visual shows the figure, not its provenance | Every number links to the exact source row and the query behind it |
| Spanning a PDF, a spreadsheet and a database at once | Needs each brought into the model first | Queried together as one live model |
| Scheduled, pixel-perfect executive dashboards | Its core strength — mature, polished, widely known | Reports and dashboards, generated from a question |
When the other one is the right choice
Choose Power BI when the questions are known in advance and the same dashboard goes to the same people every Monday. Its report designer, distribution and row-level security are mature, your organisation may already be paying for it, and the people who need those dashboards may already know how to read them. iDBQuery is not a replacement for a well-run reporting estate — it is for the questions that estate was never built to answer, and it is common for both to run side by side.
Updated 2026-08-08