How does BlazeSQL ensure data privacy and security?
BlazeSQL offers an offline mode in its desktop app, ensuring that query results remain strictly local on your computer. No models are trained on your data, and for query generation, the AI only needs to see table and column names, not your actual data rows.
What types of SQL databases and warehouses does BlazeSQL support?
BlazeSQL supports a wide range of popular databases including Snowflake, BigQuery, Microsoft SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, Redshift, Databricks, Amazon Athena, ClickHouse, and SAP SQL Anywhere. This broad compatibility allows for flexible integration with existing data infrastructures.
Can BlazeSQL be used by non-technical users?
Yes, BlazeSQL is designed with modes for both technical and non-technical users. It automatically learns your database structure and can be further customized with a knowledge base to interpret unique terminology, making it accessible for anyone needing data insights.
Is there an API available for BlazeSQL?
Yes, BlazeSQL provides an API for generating queries, pulling data, and answering questions. There is also a separate API for managing users and databases, which supports white-labeling and embedding BlazeSQL into other websites or products.
Is there a limit to the number of tables BlazeSQL can connect to?
BlazeSQL enforces a limit of 300 tables per database to optimize performance and encourage users to select only relevant tables for analysis. You can connect the same database multiple times with different table selections or connect entirely different databases.