How do I get started with iDBQuery?

Onboarding is intentionally short because iDBQuery removes the usual data-engineering prerequisites.

• Connect a source. Point iDBQuery at a MySQL or PostgreSQL database, a MongoDB collection, Excel or CSV files, Google Sheets, a folder of PDFs, or a REST API. You can add several at once.
• Let it introspect. iDBQuery reads the schema automatically and builds one live queryable model across everything you connected. A semantic layer helps it make sense of cryptic table and column names, so you do not have to document anything first.
• Ask in plain language. Type a question. iDBQuery writes the SQL, runs it, and returns an answer where every number cites the exact source rows behind it. From there you can generate charts, tables, live dashboards, and shareable reports, or hand the question to the autonomous Analyst agent.

There is no ETL to author, no warehouse to stand up, and no modeling project to schedule. For cloud, you are live in minutes. For private-VPC or air-gapped setups, we run a short guided pilot so your team can validate it in your own environment.

Reach out and we will get your first workspace connected.