iDBQuery vs Tableau: what's the difference?

Tableau is powerful for exploratory visualization, but it assumes a skilled user, prepared data sources, and time spent building each view. The value lands once a dashboard exists. iDBQuery is for the moment before that — when you just need the answer.

• Ask, don't build. Type a question in plain language and iDBQuery writes the query and returns the answer, often as a chart or table automatically.
• No data prep step. It builds one live model across your databases, spreadsheets, PDFs and APIs without a warehouse or extract.
• Citations, not just visuals. Every figure links back to the exact source row, so answers are auditable.
• Anyone can use it. No drag-and-drop expertise or calculated-field syntax required.
• Investigative depth. Its Analyst agent can chase an anomaly across sources on its own, something a static dashboard can't do.

Tableau and iDBQuery coexist well: keep Tableau for polished, designed analytics, and use iDBQuery to answer the unplanned questions in seconds and to share quick cited reports. Where Tableau optimizes for the crafted view, iDBQuery optimizes for the fast, trustworthy answer.