BlazeSQL converts natural language questions into SQL queries, executes them against connected databases, and returns results as data, visualizations, or dashboards. The platform learns database structure and business context through metadata extraction and user feedback, enabling both technical and non-technical users to query SQL databases without writing code. It prioritizes reliability through training modes, knowledge notes, and query review interfaces, and offers a desktop version that keeps query results local and private.
Keeps data private by processing it locally on desktop versions.
Helps non-technical teams solve issues faster without extra help.
Supports large databases and multiple connections for flexibility.
Uses training and knowledge base features to reduce AI mistakes.
Not meant for detailed visual reports and only works with SQL databases.
Complex questions need clear input and may be hard to interpret.
Does not offer full on-premise deployment; only results stay local.
Very large databases need manual setup due to table limits.
