---
id: databricks-labs-remorph
version: "0.9.1"
license: unclear
license_treatment: unclear
maintenance: active
---

# databricks-labs-remorph — SQL code converter and data reconcilation tool for accelerating data onboarding to Databricks from EDW, CDW and other ETL sources.

License: unclear · Maintenance: active · Downloads: 1.6M/mo

## What it is and what it does

Databricks Labs Remorph is a SQL migration and data reconciliation tool designed to accelerate onboarding of data from enterprise data warehouses (EDW), cloud data warehouses (CDW), and other ETL systems into Databricks. It translates SQL code across database dialects and provides tooling to validate that data has migrated correctly.

The package depends on cryptography, databricks-sdk, sqlglot, and Databricks Labs' own blueprint and lsql libraries. It is classified as Alpha software and comes with no formal support SLAs from Databricks—issues are reviewed on GitHub as capacity allows. The project is actively maintained, though releases are infrequent.

Use it for:

- Translate T-SQL or other legacy SQL dialects to Databricks-compatible syntax during warehouse migration projects.
- Validate data integrity after migrating tables from an on-premises or cloud EDW to Databricks.
- Automate SQL code conversion for large ETL pipelines being ported to Databricks infrastructure.
- Reconcile row counts and schema differences between source and target systems post-migration.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Converts SQL code between different database dialects and reconciles data during migration to Databricks from enterprise data warehouses and other ETL sources.

Yes, if you are actively migrating data to Databricks and need SQL dialect conversion and reconciliation. The low install friction, active maintenance, and lack of known vulnerabilities support adoption. However, the unclear license and Alpha status mean you should verify licensing compliance and test thoroughly in a non-production environment first. Not suitable if you need formal vendor support.

## Install

pip install databricks-labs-remorph
uv add databricks-labs-remorph
poetry add databricks-labs-remorph

## Installing databricks-labs-remorph

Before you install: Low friction install with a pure-Python wheel. Active maintenance with recent commits; last release was 432 days ago but repository shows ongoing work as of 2026-08-14. Alpha status means the API and behavior may change between releases.

License in practice: License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license by checking the repository before adopting in a commercial or restricted-license context.

Quickstart:

pip install databricks-labs-remorph

from databricks.labs.remorph import ...
# Consult docs at https://github.com/databrickslabs/remorph for usage patterns

Requires Python 3.10 or later. No formal support from Databricks; issues are reviewed on GitHub as time permits.

Verify before relying:

- Specific SQL dialects supported for conversion (e.g., T-SQL, Oracle, Teradata, Snowflake)
- Data reconciliation methodology and scope (row counts, checksums, schema validation)
- Performance characteristics for large-scale migrations
- Compatibility with specific Databricks workspace versions or configurations

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 1.6M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

sql dialect conversion, data warehouse migration to databricks, sql code translator, etl source reconciliation, edw to databricks migration, sql compatibility converter, data-migration, sql-translation, databricks

[View on SkillFed](https://skillfed.io/packages/databricks-labs-remorph) · [View on PyPI](https://pypi.org/project/databricks-labs-remorph/)