Liquibase Pro and the Databricks Data Intelligence Platform help data teams automate and govern schema changes with the speed and control today’s data products require.
Liquibase, the recognized leader in Database DevOps, introduced the Liquibase Pro Extension for Databricks, a powerful new integration tailored for the Databricks Data Intelligence Platform. This innovative extension empowers data and platform teams to manage schema changes within Databricks SQL more efficiently, with enhanced speed, structure, and reliability.
As Databricks continues to fuel critical analytics, AI workloads, and production-grade data products, managing database changes has grown increasingly complex. Many teams still depend on notebooks, SQL scripts, and manual ticketing processes, which can lead to higher risks, increased complexity, and slower delivery cycles.
“Data teams need to move faster and without putting their business at risk. Liquibase Pro delivers exactly that, bringing structured change management to the Lakehouse so teams can accelerate delivery, safely,” said Kevin Chappell, VP of Strategic Partnerships at Liquibase. “Liquibase Pro gives teams a repeatable, safe way to deliver database changes with the same speed and discipline they expect everywhere else in their stack.”
With this latest offering, Liquibase integrates modern change automation seamlessly into the Databricks environment, enabling teams to accelerate workflows while maintaining full control, auditability, and compliance standards.
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Key features of the Liquibase Pro Extension for Databricks include:
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Version-controlled deployment for SQL objects and Python-based user-defined functions (UDFs)
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Support for Unity Catalog, Time Travel, data volumes, and CLONE TABLE operations
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Environment-specific configurations to prevent drift across development, staging, and production
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Built-in changelog validation, policy enforcement, and comprehensive audit trails
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Elimination of reliance on notebook and script-based deployment methods
“As more organizations standardize on lakehouse architecture for analytics and AI workloads, managing schema changes consistently becomes a critical part of delivering trusted data intelligence,” said Ariel Amster, Director, Strategic Technology Partners at Databricks. “This solution from Liquibase helps our customers simplify change management while benefiting from the Databricks Data Intelligence Platform’s best-in-class governance capabilities.”
By combining Liquibase’s expertise in database change automation with Databricks’ robust data platform, enterprises can now streamline their schema evolution processes—accelerating innovation without sacrificing governance or reliability.