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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.

Natural language to T-SQL query generation
Support for SQL Server 2016+ and Azure SQL Database
TOP, CROSS APPLY, PIVOT, and CTE support
Windows Authentication and SQL Authentication
Schema-aware query generation with foreign key detection
Read-only connection enforcement
Dashboard and report builder with live data refresh
Automated alerting via email, Slack, or Microsoft Teams

Example queries

Ask in plain English. AI for Database writes the SQL Server query.

Who are our top 5 sales reps by closed deals this quarter?
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;
Show me month-over-month revenue growth
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;
Which departments have the highest average salary?
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

1

Enter your SQL Server host, port (default 1433), database name, and authentication credentials.

2

Choose between SQL Authentication or Windows Authentication based on your environment.

3

AI for Database discovers your schema, tables, views, and relationships automatically.

4

Ask questions in plain English — the AI generates T-SQL optimized for your SQL Server version.

5

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.

Enable finance teams to pull revenue and expense reports from SQL Server without IT support.
Build live dashboards for sales pipeline visibility across the organization.
Monitor ERP system data and trigger alerts when inventory or capacity thresholds are breached.
Let HR teams query employee data for headcount planning and compensation analysis.
Generate compliance reports on demand from regulated data stored in SQL Server.

Ready to query SQL Server with AI?

Connect your SQL Server database and start asking questions in plain English. Free to start.