Most valuable data sits locked behind databases that only engineers can query. A product manager who wants to know "how many users signed up last week from mobile?" either waits for an engineer to write the SQL, or the question never gets answered. Natural language to SQL changes this equation entirely.
How Natural Language SQL Works
Lodos Data Analyst connects directly to your database — PostgreSQL, MySQL, and more. When you type a question in plain English, the AI engine:
- Reads your database schema to understand table and column names
- Translates your question into an optimized SQL query
- Executes the query securely against your database
- Presents results as interactive charts — bar, line, pie, scatter, or table
The whole process takes seconds. No SQL knowledge required.
Real Examples
- "Show me total revenue by month for the last 6 months" →
SELECT DATE_TRUNC('month', created_at), SUM(amount) FROM orders GROUP BY 1 ORDER BY 1 - "Which products have less than 10 units in stock?" →
SELECT name, stock FROM products WHERE stock < 10 - "How many new users registered this week compared to last week?" → week-over-week comparison with date arithmetic
Who Benefits Most
- Product managers who need data to back up feature decisions
- Marketing teams tracking campaign performance in the database
- Customer success teams looking up account-level data
- Executives who need on-demand numbers without scheduling an analyst
Security and Access Control
Lodos Data Analyst connects via read-only credentials. Queries are executed server-side, and you control which tables are accessible. Collaborator permission control means you can share dashboards without exposing the underlying database connection.
Getting Started
Connect your database from the Data Analyst module — enter your host, port, database name, and read-only credentials. The schema explorer loads automatically and the AI is ready to answer questions.