Why use iDBQuery instead of building a data warehouse?

A data warehouse is a real investment: design the schema, build pipelines, run ETL, maintain it, and only then start asking questions. For many teams that's overkill, and it still goes stale between loads. iDBQuery removes the prerequisite entirely.

• Query in place. iDBQuery connects to your sources and builds one live model over them — no copying everything into a central store first.
• No pipelines or ETL. There's no ingest project to staff or schedule; you connect and ask.
• Always current. Because it queries the live sources, answers reflect the real state now, not the last warehouse load.
• Spans messy, varied data. Databases, spreadsheets, PDFs and APIs all join into one queryable model.
• Cited and auditable. Every number traces to its source row, so you trust the answer without a governed warehouse behind it.

If you already have a warehouse, iDBQuery connects to it like any other source. If you don't, you may not need to build one just to answer questions. For data residency and scale, iDBQuery also deploys in your own VPC or fully air-gapped, so 'no warehouse' doesn't mean less control.