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Database

AI for Oracle

Make Oracle Database accessible to every team with AI-powered queries.

Oracle Database is the industry-leading enterprise relational database, powering mission-critical applications in finance, telecom, healthcare, and government worldwide. Known for its scalability, reliability, and comprehensive feature set, Oracle handles the most demanding transactional and analytical workloads.

AI for Database bridges the gap between Oracle's powerful but complex SQL dialect and your business users. The AI generates Oracle-compatible SQL including ROWNUM/FETCH FIRST, analytic functions, hierarchical queries, and PL/SQL-aware syntax — no DBA required.

Unlock the data trapped inside your Oracle systems. Give every department the ability to answer their own questions, build dashboards from live Oracle data, and set up automated workflows — all through a conversational interface.

What's supported

Full-featured AI querying tailored for Oracle.

Natural language to Oracle SQL generation
Support for Oracle 12c+ including 19c and 21c
Analytic functions, CONNECT BY, and PIVOT support
ROWNUM and FETCH FIRST pagination
Schema and synonym discovery
Read-only connection with Oracle role-based access
Enterprise-grade dashboard and reporting
Integration with Oracle Cloud Infrastructure

Example queries

Ask in plain English. AI for Database writes the Oracle query.

What are the top 10 accounts by outstanding balance?
SELECT account_name, outstanding_balance
FROM accounts
ORDER BY outstanding_balance DESC
FETCH FIRST 10 ROWS ONLY;
Show me the employee hierarchy under VP of Engineering
SELECT employee_id, name, title, LEVEL AS depth
FROM employees
START WITH title = 'VP of Engineering'
CONNECT BY PRIOR employee_id = manager_id
ORDER SIBLINGS BY name;
What is the year-over-year revenue comparison?
SELECT TO_CHAR(order_date, 'YYYY') AS year,
       SUM(total) AS revenue,
       LAG(SUM(total)) OVER (ORDER BY TO_CHAR(order_date, 'YYYY')) AS prev_year,
       ROUND((SUM(total) - LAG(SUM(total)) OVER (ORDER BY TO_CHAR(order_date, 'YYYY')))
         / LAG(SUM(total)) OVER (ORDER BY TO_CHAR(order_date, 'YYYY')) * 100, 2) AS yoy_growth
FROM orders
GROUP BY TO_CHAR(order_date, 'YYYY')
ORDER BY year;

Get started in minutes

1

Enter your Oracle host, port (default 1521), SID or service name, and credentials.

2

Create a read-only user with SELECT grants on the schemas you want to query.

3

AI for Database discovers tables, views, synonyms, and relationships in your Oracle instance.

4

Ask questions in plain English — the AI generates Oracle-compatible SQL automatically.

5

For Oracle Cloud, configure the network security list to allow inbound connections.

Use cases

Popular ways teams use AI for Database with Oracle.

Let finance teams run ad-hoc queries on Oracle ERP data without learning PL/SQL.
Build executive dashboards from Oracle data warehouse tables.
Monitor transactional volumes and alert when anomalies are detected.
Empower compliance teams to query audit trail data stored in Oracle.
Generate automated reports from Oracle databases for board presentations.

Ready to query Oracle with AI?

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