iDBQuery vs an embedded-analytics vendor: how do they compare?
Traditional embedded-analytics vendors let you build dashboards and charts and embed them inside your own product, which is great for pre-defined views; iDBQuery's embedded SDK lets you embed a plain-language, cited-answer assistant instead, so your users can ask their own questions, not just read dashboards you built.
Embedded-analytics vendors help software teams put charts and dashboards inside their own applications, with theming, multi-tenant security and SDKs. If your goal is to ship a curated set of dashboards to your customers, that model works well and is well-trodden.
iDBQuery approaches embedded analytics from the answer side:
- Embed a question box, not just dashboards. With iDBQuery's embedded SDK, your users type a plain-language question and get a cited answer, chart or live dashboard, so you are not limited to the views you pre-built.
- Cited to the row. Every figure links back to the exact source rows, which builds trust with your customers.
- One live model across sources. iDBQuery unifies databases, warehouses, files, PDFs and APIs, so embedded answers can draw on more than a single dataset.
- Deploy where you need to. Cloud, VPC, or fully air-gapped, and a Desktop app for local use, which helps customers with strict data rules.
The two approaches can meet in the middle: you might embed a few fixed dashboards and an iDBQuery assistant for everything else. Classic embedded analytics is ideal when you know exactly which dashboards to ship. iDBQuery is ideal when you want to let users ask their own questions and trust the cited answers, without building a new view for every request.
Updated 2026-06-22