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 leader in Database DevOps, announced the launch of the Liquibase Pro Extension for Databricks, a new integration with the Databricks Data Intelligence Platform designed to help data and platform teams manage schema changes in Databricks SQL with greater speed, structure, and confidence.

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.

As more organizations rely on Databricks to power mission-critical analytics, AI workloads, and production-grade data products, database change has become a growing challenge. Most teams still rely on notebooks, SQL scripts, and ticket-based processes to make updates. These manual workflows introduce risk, increase complexity, and delay delivery.

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“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 new offering, Liquibase brings modern change automation directly into the Databricks environment. It helps teams move faster while maintaining control, auditability, and compliance.

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Key capabilities include:

  • Version-controlled deployments of SQL objects and Python-based UDFs
  • Support for Unity Catalog, Time Travel, volumes, and CLONE TABLE operations
  • Environment-specific configuration to prevent drift across dev, staging, and production
  • Built-in changelog validation, policy enforcement, and audit trails
  • Elimination of notebook and script-based deployment workflows

“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.”

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Source – businesswire

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