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blazesql

BlazeSQL connects to SQL databases and warehouses, generates answers and queries from natural-language questions, and turns findings into dashboards or reports. BI, analytics, and operations teams use it to get data insights without routing every request through SQL specialists.

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Who it's for

  • BI and analytics teams that want technical and non-technical colleagues to self-serve answers from company SQL data.
  • Operations or integrations teams that need to investigate business data and create reports from database findings.
  • Data analysts and developers who want AI-generated SQL grounded in their database structure and company terminology.

Not the right fit if…

  • Teams requiring an on-premise deployment: BlazeSQL says it does not offer an on-premise solution.
  • Teams that need a permanently free product: the page says BlazeSQL has a free trial but no permanently free tier.

How it fits your workflow

Connect a supported SQL database or warehouse with database credentials, then select the tables BlazeSQL should use. BlazeSQL extracts database structure and can incorporate user-provided descriptions, example queries, and business terminology.

Ask questions in the AI chat. BlazeSQL generates and runs queries against the connected data, then returns answers that users can add to dashboards. The page also describes access through Claude, ChatGPT, Microsoft Teams, and Slack.

For reporting, ask a question that combines research and database analysis; BlazeSQL can produce a PDF and an interactive report. In the desktop version, database rows and query results stay on the user's computer by default.

Pricing

Free: BlazeSQL offers a free trial for companies, but the page says there is no permanently free tier.

Free trial

Free trial; duration and terms are not stated.

  • · For companies to test the solution before adopting it

Prices checked on Oct 6, 2026 from the vendor's site. They can change; confirm before you buy.

Key features

AI-generated database queries
Users can ask questions about their data, and BlazeSQL generates and runs database queries to provide answers.
Automatic database structure learning
BlazeSQL automatically extracts database structure and can use categorical values, column relationships, and comments to interpret database-specific context.
Knowledge base and feedback
Users can add descriptions for schemas, tables, and columns, as well as example queries and business terminology. The AI also learns from feedback and measures its accuracy.
Dashboards
Users can add insights from AI chat to dashboards and arrange dashboard content using drag and drop.
Research and report creation
BlazeSQL can combine web research with database queries to create shareable PDF and interactive reports.
Database table selection
When connecting a database, users select which tables BlazeSQL can use.

Works with

  • Claude
  • ChatGPT
  • Microsoft Teams
  • Slack
  • SQL databases and warehouses

Limitations to know

  • Each database connection is limited to 300 tables.
  • The product does not offer an on-premise solution.
  • There is no permanently free tier; only a free trial is stated.

Alternatives to consider

  • Chat2DB

    Choose it if you want an open-source database client with visual database management and local operation, rather than BlazeSQL's focus on AI analyst workflows, dashboards, and reports.

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Getting started

  1. Start a free trial or book a demo.
  2. Enter your database credentials.
  3. Select the tables BlazeSQL should use.
  4. Start chatting with the AI Data Analyst.

Frequently asked questions

Where does my data go?

With the desktop version, database rows are not uploaded to BlazeSQL's servers by default. The AI needs table and column names to generate queries. Query results go from the database to the user's computer, where the local data is used to display graphs and dashboards.

Who is BlazeSQL for?

The page describes it as a product for companies with SQL databases whose technical or non-technical users need to extract data or get insights.

How does the AI understand database-specific terminology?

BlazeSQL extracts categorical values, column relationships, and comments. Users can also add descriptions for schemas, tables, and columns, along with example queries, terminology, and business information in the knowledge base.

Is there an API?

Yes. The page says BlazeSQL has an API to generate queries, pull data, and answer questions, plus an API to manage users and databases for white-labeling.

Can I choose which tables BlazeSQL uses?

Yes. Users select the tables they want BlazeSQL to use when connecting a database.

Is there a database size limit?

BlazeSQL limits each database connection to 300 tables. The page says users can add the database multiple times with different table selections or add other databases.

Which data sources are supported?

The page lists Snowflake, BigQuery, Microsoft SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, Redshift, Databricks, Amazon Athena, ClickHouse, and SAP SQL Anywhere.

Is BlazeSQL free?

The page says BlazeSQL offers a free trial for companies but is not a free product and has no permanently free tier.

Does BlazeSQL offer an on-premise solution?

No. The page says it does not offer an on-premise solution. It says the desktop version can keep database records and query results on the user's device.