Can I embed iDBQuery in my own app or product?
Yes — iDBQuery's Embedded SDK lets you embed its plain-language data chat, cited answers, charts and dashboards directly inside your own application. Your users get self-serve analytics in your product, and data can stay local so nothing has to be copied out to a third party.
Embedding iDBQuery turns it into an analytics feature of your own product rather than a separate tool your users have to leave for.
- In-product data chat. Let your users ask questions about their data in plain language, right where they already work.
- Cited, trustworthy results. Answers come back with figures traced to source rows, so what you embed is verifiable, not a black box.
- Full building blocks. Charts, tables, live dashboards and reports are all available through the SDK.
- Data stays put. The embedded engine can run in your environment, so you are not routing your customers' data through an outside service.
A common pattern: a SaaS platform embeds iDBQuery so each customer can explore their own usage, billing or operational data conversationally, without the platform team building and maintaining a bespoke analytics module. Instead of shipping a fixed set of dashboards and fielding endless 'can you add this chart?' requests, you give users the ability to just ask. And because iDBQuery is deployable in your VPC or on-prem and is model-agnostic, embedding it fits security-conscious products too. For OEM or deeper branding needs, the team can talk through the specifics of your integration.
Updated 2026-06-22