iDBQuery vs Apache Superset: what's the difference?

Apache Superset is a popular open-source BI platform. Engineers connect it to databases via SQLAlchemy, write queries in SQL Lab, and build dashboards, all self-hosted and free of licence fees. For technical teams that want an open, self-managed dashboarding tool, Superset is a strong choice.

iDBQuery is aimed at a broader set of users and questions:

• Plain language, not SQL Lab. You ask a question the way you would ask a colleague; iDBQuery writes and runs the SQL for you and returns a cited answer, chart, table or dashboard.
• Every figure is cited. Numbers trace back to the exact source rows, so non-technical stakeholders can trust and audit them.
• Beyond SQL databases. iDBQuery unifies databases and warehouses with Excel, CSV, Sheets, PDFs, folders (with OCR) and REST APIs into one live model, and its semantic layer helps it read cryptic schemas.
• Flexible deployment. Cloud, your own VPC, a Desktop app, or fully air-gapped.

Superset is excellent when you have engineers to run it and users comfortable with SQL and chart-building. iDBQuery is better when you want anyone to get a cited answer from a plain-language question, across more than just SQL databases, without maintaining the tooling yourself.