iDBQuery vs Vanna AI: how do they compare?

Vanna AI is a popular open-source library for text-to-SQL: you train it on your schema and sample queries, embed that context, and call it from Python to turn questions into SQL. It's developer-oriented and you host and maintain the setup. iDBQuery packages the whole workflow so a non-technical team can use it out of the box.

• No training pipeline to run. iDBQuery introspects your sources and uses a semantic layer to understand obscure column and table names automatically, rather than you curating a training set of question-SQL pairs.
• One model across sources. It joins databases, spreadsheets, PDFs and APIs into a single live model, so questions aren't limited to one database.
• Cited answers and charts. You get a number, chart, table, live dashboard or shareable report — with each figure traceable to its source row — not just a SQL string to run yourself.
• Finished UI and governance. Access control, read-only querying and cloud/VPC/air-gapped or Desktop deployment are built in.

Vanna AI is a great choice for engineers who want an open, embeddable component and are happy to build the surrounding product. iDBQuery is the better fit when you want a complete, cited, cross-source answering experience for a whole team without assembling and maintaining the framework yourself.