BlazeSQL
blazesql.com
What it is
BlazeSQL is an AI data analyst for companies that need technical or non-technical users to ask questions of SQL databases and get data insights. It extracts database structure automatically and learns from feedback to measure its accuracy. Users can save AI Chat insights to dashboards and arrange dashboards with drag-and-drop tools. Supported databases include Snowflake, BigQuery, Microsoft SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, Redshift, Databricks, Amazon Athena, ClickHouse, and SAP SQL Anywhere. The product is available on the web and desktop for macOS and Windows, as well as through an API that can generate queries, retrieve data, answer questions, and manage users and databases for white labeling. Pro costs $150 a month, and a 14-day trial is available; there is no free plan. Desktop offline mode keeps query results on the device. In the web app, encrypted query results are sent to BlazeSQL servers for AI analysis, dashboards, and collaboration. BlazeSQL says data is encrypted at rest with AES-256 and in transit with TLS 1.2 or higher, and AI calls use Zero Data Retention.
Spec sheet
- Product
- BlazeSQL is an AI Data Analyst that turns questions into data insights using SQL.Read 29 Sep 2026 · blazesql.com
- Audience
- BlazeSQL describes itself as for companies with SQL databases whose technical or non-technical users need to extract data or get insights.Read 29 Sep 2026 · blazesql.com
- API
- BlazeSQL says its API can generate queries, pull data, answer questions, and manage users and databases for white labeling.Read 29 Sep 2026 · blazesql.com
- Integrations
- The team plan lists ChatGPT, Claude, Slack, and Microsoft Teams integrations.Read 29 Sep 2026 · blazesql.com
- Security
- The privacy policy says data is encrypted at rest with AES-256 and in transit with TLS 1.2 or higher, and AI calls use Zero Data Retention.Read 29 Sep 2026 · blazesql.com
- Support
- The privacy policy lists [email protected] as its general support contact.Read 29 Sep 2026 · blazesql.com
- Headquarters
- 23 Boulevard Friedrich Wilhelm Raiffeisen, 2411 Luxembourg, LuxembourgRead 28 Sep 2026 · blazesql.com
- Automatic setup
- BlazeSQL automatically extracts database structure and learns from feedback to measure its accuracy.Read 29 Sep 2026 · blazesql.com
- Dashboards
- Users can add insights from AI Chat to dashboards and create dashboards with drag and drop.Read 29 Sep 2026 · blazesql.com
- Database support
- Supported databases listed include Snowflake, BigQuery, Microsoft SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, Redshift, Databricks, Amazon Athena, ClickHouse, and SAP SQL Anywhere.Read 29 Sep 2026 · blazesql.com
- Desktop downloads
- The download page offers BlazeSQL desktop downloads for Mac and Windows.Read 29 Sep 2026 · blazesql.com
- Desktop privacy
- With desktop offline mode enabled, query results are stored locally and do not reach BlazeSQL servers.Read 29 Sep 2026 · blazesql.com
- Notable limit
- BlazeSQL limits each connected database to 300 tables and says users may add the database multiple times with different tables selected.Read 29 Sep 2026 · blazesql.com
- Web data handling
- The privacy policy says the Web App sends query results encrypted to BlazeSQL servers for AI analysis, dashboards, and collaboration.Read 29 Sep 2026 · blazesql.com
Plans and prices
Strong points and limits
Strong points
- Extracts database structure automatically
- Supports a broad range of listed databases
- Creates dashboards from AI Chat insights
- API can generate queries and manage databases
- Desktop offline mode keeps results local
Limits
- No free plan
- Pro costs $150 a month
- Each connected database is limited to 300 tables
Who it suits
BlazeSQL suits companies with SQL databases where technical or non-technical staff need to extract data or find insights. Its dashboards and API may also suit teams that want to share results or connect the service with other tools.
Verdict
BlazeSQL combines natural-language data questions with database support, dashboards, and an API. Check the database table limit and the distinction between desktop offline handling and web processing before choosing it.
Where Specifiction places it
- AI Database Assistants#4 of 218.4