• BlazeSQL is an AI-driven platform for data analytics that utilizes natural language to generate SQL queries.
• The platform serves as an AI data analyst, translating user inquiries into optimized SQL queries and executing them.
• Results are presented through visualizations, dashboards, or summaries.
• BlazeSQL connects to supported SQL databases, learning schema metadata to ensure accurate query generation.
• The platform prioritizes privacy by mainly using metadata and keeping results local during desktop workflows.
• It allows both technical and non-technical users to easily explore data via conversational querying and automated insights.
• BlazeSQL aims to democratize analytics, reducing reliance on manual SQL expertise.
AI conversational querying that converts plain-language questions into SQL queries
Automatic database schema learning and metadata understanding
Hyper-personalized dashboards built from AI-generated insights
Enterprise-level privacy with metadata-based processing
Training mode for improving AI accuracy through feedback
Support for major SQL databases including Snowflake and PostgreSQL
AI-generated visualizations and dashboards
Proactive insight suggestions and automated reporting
Technical and non-technical user modes
Fast setup with quick database connection and analysis
What is BlazeSQL used for?
BlazeSQL helps users analyze SQL databases by converting natural language questions into SQL queries and visual insights.
Who can use BlazeSQL?
Both technical and non-technical users can use BlazeSQL to access data insights without advanced SQL knowledge.
How does BlazeSQL protect data privacy?
The platform relies mainly on database metadata and keeps query results local in desktop workflows to maintain privacy.
Can BlazeSQL generate dashboards automatically?
Yes, users can instantly convert AI-generated insights into dashboards and visualizations.
What databases are supported?
BlazeSQL supports popular SQL databases such as PostgreSQL, MySQL, BigQuery, Snowflake, and SQL Server.