Automate and Govern Database Changes in Databricks

Liquibase Pro brings version control, testing, and automated deployment to schema changes in Databricks SQL Warehouse. Replace manual scripts and notebooks with automated, auditable workflows built for scale and compliance.

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Why Data Teams Choose Liquibase with Databricks

Databricks powers mission-critical analytics, but managing schema and logic changes across environments is often manual and error-prone. Many data teams still rely on notebooks or one-off scripts that are difficult to standardize and hard to audit.

Liquibase brings structure, control, and automation to this process—so teams can version, test, and deploy changes with confidence.

Built for Databricks SQL Warehouse
Supports Unity Catalog
Deploys SQL objects, including user-defined functions
Tracks clone operations and volume usage
Designed for fast setup with minimal customization
Key Benefits
Automate SQL deployments and manage Python-based UDFs using version-controlled changelogs
Track and audit every change across environments
Manage Databricks-native features like Time Travel, clone operations, and user-defined functions
Deploy to dev, staging, and production with environment-specific configurations
Meet compliance requirements with built-in policy enforcement and validation

How It Works Across Environments

Liquibase supports environment-specific deployments using shared changelogs and property files. This gives data engineering teams consistency, control, and traceability from development to production.

This example shows how Liquibase can manage changes across environments using a single changelog.

Environment-specific properties define which Databricks database is targeted while maintaining a consistent structure for automation and auditability.

Scaling Change Management at a Global Bank

A global financial services firm recently launched a new exchange platform on Databricks and needed to unify change management across Databricks, SQL Server, and Snowflake while meeting strict governance standards.

Their challenges included:
Inconsistent deployment processes
Duplicate changes and limited visibility
Manual, error-prone policy enforcement
Time-intensive audit preparation
Why they chose Liquibase Pro:
One standard across platforms using Liquibase changelog
Prevalidation in cloned environments before production rollout
Custom policy enforcement built into the deployment process
Guided onboarding and support from Liquibase engineers

Within ten weeks, the team replaced fragmented tooling with Liquibase, trained developers using Liquibase Academy, and began rolling out automated change management across teams and platforms.

The Outcomes You Can Expect

Versioned, auditable deployments of schema and logic changes

Repeatable workflows across dev, staging, and production

Built-in governance through changelog validation and change tracking

CI and CD integration for consistent, testable releases

Fewer manual steps, faster releases, and reduced risk

Liquibase helps data teams move faster and stay in control of every change.

Ready to See It in Action?

Request a walkthrough tailored to your Databricks environment and see how Liquibase Pro can help your team automate, govern, and scale database change management.

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