What is a data warehouse?

A data warehouse is a purpose-built store for analytics. Rather than querying live production systems, organisations copy data out of them — sales, finance, product, support — into one warehouse, transform it into consistent tables, and run reporting and BI on top. Warehouses are good at large-scale historical analysis, but they come with real cost: pipelines to move data, modelling to shape it, and a team to keep it all running. There's also a lag — the warehouse only knows what the last load told it.

iDBQuery relates to data warehouses in two ways:

• It connects to them. If you already run a warehouse, iDBQuery treats it as a standard SQL source and lets you ask it questions in plain language, with every figure cited back to its rows.
• It removes the need to build one just to answer cross-source questions. iDBQuery queries your databases, spreadsheets, files and APIs in place and assembles them into one live queryable model — no warehouse to provision, no pipelines to maintain, no waiting on the next load.

So a warehouse remains a sound choice for heavy, centralised historical analytics, but if your goal is simply to get cited answers across the systems you already have, iDBQuery gets you there without the warehouse project — and it works happily alongside a warehouse you've already built.