Cross-Dialect SQL Migration

2 credits

Convert SQL Between
Any Two Dialects

T-SQL, PL/SQL Oracle, PostgreSQL, MySQL, BigQuery, COBOL — paste your SQL, choose source and target, get a full migration report with incompatibility warnings and validation test cases.

3 free analyses · No credit card required

Supported Conversion Paths

Convert in any direction between these dialects

T-SQL → PL/SQL Oracle

SQL Server → Oracle migrations

T-SQL → PostgreSQL

Azure SQL → AWS RDS / Supabase

PL/SQL → T-SQL

Oracle → SQL Server modernisation

PostgreSQL → BigQuery

On-prem → Google Cloud analytics

MySQL → T-SQL

MySQL → SQL Server consolidation

COBOL → T-SQL

Legacy mainframe SQL extraction

More Than a Code Translator

Generic AI tools convert syntax. SQL Querywise converts with context.

Conversion Mapping Table

Every T-SQL construct mapped to its target equivalent — no guesswork, no manual lookup.

Incompatibility Warnings

Flags constructs with no direct equivalent (e.g. MONEY type, NOLOCK hints, proprietary functions) with migration guidance.

Validation Test Cases

Auto-generated SQL tests to verify the converted code produces identical results to the original.

Dialect-Specific Rules

Each target dialect has its own rule set — Oracle naming conventions, PostgreSQL ANSI compliance, BigQuery partitioning patterns.

100% Executable Output

No placeholders, no TODO comments. The converted code runs as-is on the target platform.

PT / EN Output

Generate the full conversion report in Portuguese or English — ideal for cross-border teams.

Example: T-SQL → PL/SQL Oracle

Input a T-SQL query, get a production-ready PL/SQL equivalent with full migration report

input.sql — T-SQL

-- T-SQL: Top 10 customers by revenue
WITH SalesSummary AS (
  SELECT customer_id,
    SUM(amount) AS total_revenue,
    COUNT(*) AS order_count
  FROM orders
  WHERE status = 'completed'
  GROUP BY customer_id
)
SELECT c.name, s.total_revenue,
  RANK() OVER (ORDER BY s.total_revenue DESC) AS rank
FROM customers c
JOIN SalesSummary s ON c.id = s.customer_id
ORDER BY rank
OFFSET 0 ROWS FETCH NEXT 10 ROWS ONLY;

output.md — PL/SQL Oracle

AI Generated

## Converted Code — PL/SQL Oracle

```sql
-- PL/SQL Oracle: Top 10 customers by revenue
WITH SalesSummary AS (
  SELECT customer_id,
    SUM(amount) AS total_revenue,
    COUNT(*) AS order_count
  FROM orders
  WHERE status = 'completed'
  GROUP BY customer_id
)
SELECT c.name, s.total_revenue,
  RANK() OVER (ORDER BY s.total_revenue DESC) AS rank
FROM customers c
JOIN SalesSummary s ON c.id = s.customer_id
ORDER BY rank
FETCH FIRST 10 ROWS ONLY;
```

## Conversion Mapping

| T-SQL Construct | PL/SQL Equivalent | Notes |
|---|---|---|
| `OFFSET 0 ROWS FETCH NEXT 10 ROWS ONLY` | `FETCH FIRST 10 ROWS ONLY` | Oracle 12c+ syntax required |
| `COUNT(*)` | `COUNT(*)` | Direct equivalent |
| `RANK() OVER (...)` | `RANK() OVER (...)` | ANSI standard — no change needed |
| Single quotes for strings | Single quotes | Identical |

## Incompatibility Warnings

⚠️ **OFFSET/FETCH:** T-SQL's `OFFSET n ROWS FETCH NEXT n ROWS ONLY` maps to Oracle's `FETCH FIRST n ROWS ONLY`. If offset > 0, use `OFFSET n ROWS FETCH NEXT n ROWS ONLY` (Oracle 12c+).

⚠️ **Data types:** If `amount` is `MONEY` in SQL Server, map to `NUMBER(19,4)` in Oracle. Verify column definitions before deployment.

## Validation Test Cases

```sql
-- Test 1: Verify row count
SELECT COUNT(*) FROM (
  /* converted query here */
) WHERE ROWNUM <= 10;
-- Expected: 10 rows (or fewer if < 10 customers exist)

-- Test 2: Verify ranking order
SELECT rank FROM (/* converted query */) WHERE ROWNUM <= 2;
-- Expected: rank values 1, 2 in ascending order
```

## Prerequisites

- Oracle Database 12c Release 1 (12.1) or later for `FETCH FIRST` syntax
- Ensure `orders` and `customers` tables exist with equivalent schema in Oracle

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