iDBQuery vs Power BI: what's the difference?

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.