BlazeSQL

What it is

BlazeSQL is an AI-native business intelligence tool that lets technical and non-technical users ask questions of their SQL databases and get insights without writing SQL. An AI Data Analyst generates code in seconds, a no-code drag-and-drop editor builds dashboards, and the system learns from feedback. The company says it is for companies with SQL databases from which technical or non-technical users need to extract data or get insights. It has a desktop app with an offline mode, a dashboard builder and an AI chat, and it can be reached from tools like Claude, ChatGPT, Slack and Microsoft Teams.

What you build and how

AI Data Analyst. The AI assistant automatically extracts database metadata (table names, column names, relationships), understands your database by using industry expertise, and learns from corrections and feedback you provide. For databases with unique terminology or structure, you build a knowledge base by adding descriptions for schemas, tables and columns, example queries, and business information. The AI uses this documentation to understand and remember important details about your database and your company.

Dashboard builder. The page headline is "Individual dashboards for individual needs." You add anything to a dashboard from the AI Chat with one click, then drag and drop to arrange it. The editor is described as a no-code dashboard editor, so a manager can assemble a personal view of numbers without writing queries.

Chat interface and insights. Ask your data questions in natural language through the AI Chat. The home page shows sample chats where a question about which plan drove revenue up this week returns a short answer and a small table. The platform also suggests key insights tailored to your job and your priorities, and sends weekly proactive updates so you stay informed without being proactive.

Modes for different users. The home page lists "Modes for technical and non-technical users." It says BlazeSQL automatically extracts your database structure and can start querying for technical staff immediately, with no manual setup work, and that it automatically learns from feedback and measures its own accuracy so you can reliably onboard non-technical teams.

Integration with the tools you use. The home page says teams can get governed insights without leaving their normal work environment, for example via the Claude database connector or a ChatGPT Plugin, and its sample chats show Microsoft Teams and Slack. An API lets you generate queries, pull data and answer questions. A separate API lets you manage users and databases for white-labeling BlazeSQL, so you can re-sell or embed it in your own product.

Desktop app and privacy. The desktop app has offline mode in which query results stay strictly local on your computer. Graphs and dashboards use this local data to display on your screen. The FAQ says that with the desktop version, data rows are not uploaded to the company's servers by default: to generate queries, the AI only needs the names of your tables and columns, and query results go directly from your database to your computer and stay "100% local and private." Under its Enterprise-Level Security heading the site states that no models are trained on your data. BlazeSQL does not offer an on-premise version, the FAQ says, because the AI needs too much computing power, but the desktop version keeps database records and query results on your side.

Database flexibility. The FAQ lists the supported SQL databases and warehouses: Snowflake, BigQuery, Microsoft SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, Redshift, Databricks, Amazon Athena, ClickHouse and SAP SQL Anywhere. When connecting a database, you select the tables you want to use and exclude others. BlazeSQL enforces a 300-table limit per database to encourage you to select only relevant tables for analysis; its FAQ reasons that databases with over 300 tables typically hold many tables not relevant to the insights you need. You can add the same database several times with different tables selected, or add other databases, and pick the relevant one in the chat.

Getting started. Set up BlazeSQL and get insights in under 1 minute: enter your database credentials, select the tables you want to use, and start chatting with your AI Data Analyst. The site's product menu also names a no-code report builder, a self-service analytics platform, conversational data querying, autonomous reporting and an SSRS replacement.

Plans, limits and claims

The product pages give more about behavior than about price. The menu splits pricing into plans for teams and for individuals, and the FAQ explains the split: there is no message limit, every BlazeSQL member gets unlimited access to the AI Data Analyst chatbot, and using BlazeSQL with several people requires a Team subscription. "BlazeSQL offers a free trial for companies to test the solution before adopting it, but this is not a free product and there is no tier that is permanently free," the FAQ says. Every page offers Book a Demo and Start free trial. The one figure for a price is on the company's own blog, which lists BlazeSQL as starting at $400 a month for 3 users with "No surprise usage fees."

On accuracy, the dashboard page says the AI Data Analyst is accurate because it automatically extracts database metadata, uses information you enter into the AI knowledge base, draws on industry expertise in its models, and remembers what you teach it. The FAQ says it extracts categorical values, column relationships and comments, and you can add descriptions for schemas, tables and columns, example queries and business terminology.

For integration there is an API to generate queries, pull data and answer questions, and a second API to manage users and databases for white-labeling, which the FAQ says lets you re-sell BlazeSQL or embed it in your website or product.

The home page carries the headline "Over 2 million questions answered" and the dashboard page "Over 120k insights generated." The team describes itself as experts in data science, automation and management consulting across product management, ecommerce and retail, supply chain, healthcare, B2B and B2C tech, and finance. The footer names the company as Blaze Analytics, with an address in Luxembourg. Customer quotes on the pages come from Trengo, Kudosity, Poppy Mobility, Residesk, hoo.be and Klarpris; the Trengo analytics manager says the team saves "at least a day and a half per week," and the Poppy Mobility CTO writes that "Almost half our employees (including non-tech) use BlazeSQL now."

Who it suits and who it does not

BlazeSQL suits a company with a SQL database where non-technical colleagues keep asking the same data questions and a technical person can set up the connection, pick the tables and write the knowledge base entries. A team lead who wants a personal dashboard assembled from chat answers, or a software company that wants to white-label the product through its API, matches what the pages describe. Teams that need data to stay on one machine will look at the desktop offline mode.

Limits are worth noting. The 300-table cap per database means a very large schema needs a deliberate choice of tables. There is no permanently free tier and no on-premise server version, only the desktop app's local results. The pages describe a drag-and-drop editor rather than detailed visual design controls, so a team that wants heavily branded report layouts should test that first. Answer quality depends on the knowledge base you build, so teams that will not document their terminology should try it on real questions before rollout.