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Migration Tools

SQL Schema Converter

Upload a .sql file or paste SQL. Pick a migration pathway below and convert schemas to clean, target-dialect-compatible SQL.

Pathway
Input · T-SQL
Output · Databricks SQL 
Converted output will appear here after conversion.

Migrate SQL schemas across dialects without rewriting by hand

Cross-dialect migrations are full of small, tedious syntax differences — identifier quoting, data type names, identity columns. The SQL Schema Converter handles the common type and function mappings for each supported pathway so you start from working SQL, not a blank page.

Supported pathways

  • T-SQL → Databricks SQL: maps SQL Server types and syntax to Databricks/Spark SQL equivalents.
  • Oracle → Snowflake: converts Oracle-specific types and sequence/identity patterns to Snowflake syntax.
  • PostgreSQL → BigQuery: maps Postgres types and constructs to BigQuery standard SQL.
  • Hive → Databricks: converts Hive DDL and storage clauses to Databricks SQL.

Common use cases

Cloud data warehouse migration

Move schemas from an on-prem engine to a cloud warehouse without manual rewrites.

Lakehouse modernization

Convert legacy Hive tables to Databricks SQL as part of a lakehouse migration.

Multi-cloud schema parity

Keep equivalent schemas in sync across Snowflake, BigQuery, and Databricks.

POC / prototype conversion

Quickly spin up a converted schema to test a new platform before committing.

FAQ

Which migration pathways are supported? T-SQL to Databricks SQL, Oracle to Snowflake, PostgreSQL to BigQuery, and Hive to Databricks, with more pathways added over time.

Does the conversion handle every function and data type? It handles the most common type mappings and function translations automatically. Review the output for dialect-specific edge cases before running it in production.

Can I paste SQL instead of uploading a file? Yes — paste directly into the input panel, or upload a .sql file; both work identically.

Is my SQL stored anywhere? No. Conversion happens in-memory for the request only and nothing is logged or retained.

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