Can I connect QuickBooks or accounting data to iDBQuery?
Yes — iDBQuery connects to QuickBooks and similar accounting platforms through its REST API connector. You authorise with the platform's OAuth credentials, point iDBQuery at objects like invoices and expenses, and that data joins one live queryable model you ask in plain language, with cited answers.
QuickBooks (and comparable accounting tools with an API) connects to iDBQuery through the REST API connector — iDBQuery reads from the accounting platform's API rather than via a dedicated native app. Accounting exports as CSV/Excel work too, through the file connector.
- You'd connect QuickBooks by authorising with its OAuth credentials and pointing iDBQuery at Invoices, Bills, Expenses, Customers, and the chart of accounts.
- iDBQuery normalises the responses into queryable tables, applies its semantic layer to the fields, and adds the data to your one live queryable model.
- Ask in plain language — *"What were total expenses by category last quarter versus budget?"* — and iDBQuery writes and runs the query, returning a cited number, chart or live dashboard.
The payoff for finance teams is one place to reconcile: iDBQuery can combine QuickBooks with a payments API like Stripe, a bank feed, or an operational database in a single question — flagging where numbers disagree between systems — all as one model with no ETL. Because every figure is cited back to its source transaction, month-end and board figures are auditable line by line. Schedule refreshes to keep it current, use read-only access, and deploy in your own VPC or air-gapped since financial data is sensitive.
Updated 2026-06-22