BlazeSQL

BlazeSQL is presented as an AI Data Analyst that connects to a SQL database, extracts its structure, and lets users ask questions in a chat interface to receive query-based insights. The page states it can be used by technical staff immediately and by non-technical teams, learns from feedback and measures its own accuracy, and can be accessed through tools such as the Claude database connector, a ChatGPT plugin, Microsoft Teams, and Slack. Users can add insights to personal drag-and-drop dashboards, and the product can generate PDF and interactive reports. The page describes a desktop version with offline mode where query results stay local, states that no models are trained on customer data, and notes an API for generating queries and for white-labeling and embedding. Supported sources listed include Snowflake, BigQuery, Microsoft SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, Redshift, Databricks, Amazon Athena, ClickHouse, and SAP SQL Anywhere. Setup involves entering database credentials, selecting tables, and starting to chat. The page limits databases to 300 tables and offers a free trial but no permanently free tier; it does not offer an on-premise solution.

Key features

• Natural language to SQL query generation from chat
• Automatic extraction of database structure with no manual setup
• Learns from feedback and measures its own accuracy
• Knowledge base for adding schema, table, and column descriptions and example queries
• Integrations via Claude database connector, ChatGPT plugin, Microsoft Teams, and Slack
• Personal drag-and-drop dashboards built from AI chat insights
• PDF and interactive report generation
• Weekly proactive insight updates tailored to user role
• Desktop version with offline mode keeping query results local
• API for generating queries, pulling data, and managing users and databases for white-labeling
• Table selection to limit which tables the AI uses
• Unlimited message access per user according to the FAQ

Best suited for

• Companies with SQL databases where technical or non-technical users need data insights
• Non-technical business users who need to query data without writing SQL
• Analytics and BI teams looking to reduce ad hoc data requests
• Organizations wanting to resell or embed an AI analytics chatbot via white-labeling

Pricing

Not stated on the website