Database
AI for SQL Server
Unlock your Microsoft SQL Server data with natural language queries.
Microsoft SQL Server is the enterprise database of choice for organizations running on the Microsoft ecosystem. From Azure SQL to on-premises installations, SQL Server powers critical business applications across finance, healthcare, retail, and government with its robust T-SQL engine, advanced analytics, and enterprise-grade security.
AI for Database connects to your SQL Server instances and translates everyday questions into optimized T-SQL. The AI understands SQL Server-specific syntax including TOP, CROSS APPLY, PIVOT, CTEs, and window functions — so you get accurate results no matter how complex the question.
Finally, your business analysts can query SQL Server data directly without submitting IT tickets. Dashboards, reports, and alerts flow from live data, keeping your organization informed and agile.
What's supported
Full-featured AI querying tailored for SQL Server.
Example queries
Ask in plain English. AI for Database writes the SQL Server query.
SELECT TOP 5 r.name, COUNT(d.id) AS closed_deals, SUM(d.value) AS total_value
FROM sales_reps r
JOIN deals d ON d.rep_id = r.id
WHERE d.status = 'closed'
AND d.closed_date >= DATEADD(QUARTER, DATEDIFF(QUARTER, 0, GETDATE()), 0)
GROUP BY r.name
ORDER BY total_value DESC;WITH monthly AS (
SELECT DATEADD(MONTH, DATEDIFF(MONTH, 0, order_date), 0) AS month,
SUM(total) AS revenue
FROM orders
GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, order_date), 0)
)
SELECT month, revenue,
LAG(revenue) OVER (ORDER BY month) AS prev_month,
CASE WHEN LAG(revenue) OVER (ORDER BY month) > 0
THEN (revenue - LAG(revenue) OVER (ORDER BY month)) * 100.0 / LAG(revenue) OVER (ORDER BY month)
ELSE NULL END AS growth_pct
FROM monthly
ORDER BY month DESC;SELECT d.name AS department, AVG(e.salary) AS avg_salary, COUNT(e.id) AS headcount
FROM departments d
JOIN employees e ON e.department_id = d.id
GROUP BY d.name
ORDER BY avg_salary DESC;Get started in minutes
Enter your SQL Server host, port (default 1433), database name, and authentication credentials.
Choose between SQL Authentication or Windows Authentication based on your environment.
AI for Database discovers your schema, tables, views, and relationships automatically.
Ask questions in plain English — the AI generates T-SQL optimized for your SQL Server version.
For Azure SQL, configure the firewall to allow the AI for Database connection IP.
Use cases
Popular ways teams use AI for Database with SQL Server.
Ready to query SQL Server with AI?
Connect your SQL Server database and start asking questions in plain English. Free to start.