AI accelerates development. Good database governance keeps it under control

AI coding tools are increasing the pace of development, accelerating how frequently database changes are proposed, reviewed, and delivered. For many teams, this isn't a shift from chaos - it's a shift in scale.

Existing processes that already work well are now under more pressure. More schema changes arrive in shorter cycles, across more teams, with less time between commit and release. What used to be manageable through database script review cycles now needs stronger automation to keep pace.

Flyway Enterprise helps teams scale their existing code review practices. By enforcing automated code policies in the pipeline, version-controlling schema changes, and detecting drift early, Flyway Enterprise ensures that the same standards teams rely on today continue to hold as delivery accelerates. The result is faster iteration of database changes — without sacrificing stability, predictability, or trust in the database. That's what governing at scale looks like in practice.

Automated testing in CI/CD pipelines catches breaking changes to keep AI data pipelines running smoothly

To drive up quality and stability, Flyway Enterprise enables teams to release database changes through a CI/CD pipeline and catch errors before they get close to Production.

Industry-proven database comparison technology also means teams can source control changes right down to the object level, troubleshoot problems, detect database drift and auto-generate accurate database deployment scripts for every change.

Version-controlled schema changes ensure AI models can reliably predict data structure

Flyway Enterprise enables teams to version control their schema changes, providing a single source of truth and helping AI models to more reliably interpret and predict data structure.

Supports vector data evolution

AI applications often introduce rapidly evolving data requirements - such as support for vector embeddings, feature stores, or other specialized structures - which demand agile and reliable schema evolution.

Flyway Enterprise prepares schemas for AI-native data types like vectors, enabling smooth integration of embeddings and semantic search capabilities.

Standardizes database changes across database platforms

Flyway Enterprise equips teams with the advanced capabilities they need to develop database changes with confidence, whether those changes are for SQL Server, PostgreSQL, Oracle or MySQL.

Script auto-generation and code analysis rules also help teams deliver database changes consistently, reducing error and freeing up time for value-added work.

Supports governance, compliance requirements and faster troubleshooting when AI models encounter issues

Flyway Enterprise maintains a full audit log of database changes deployed via Flyway down to the object level. This ensures consistency and facilitates rollbacks and audit trails, bringing support for regulatory requirements that mandate traceability and accountability in database change management.

The audit trail also enables teams to track down issues to the database object level for faster, easier resolution before impacting AI models.

Stop credential leaks before they happen

Redgate Flyway Enterprise delivers secrets management that scales securely for a single source of truth and role-based access (RBAC) approach. Flyway Enterprise fetches credentials and config details from trusted stores like HashiCorp Vault and Google Cloud Secret Manager at runtime - no hardcoded secrets or passwords, no more risk of non-compliant, shared files.

• Set up policies in your chosen vault to support a role-based access control approach (RBAC) from a single source of truth
• Supports the use of multiple secret stores, offering flexibility across environments where needed

Pay down technical debt and grow scalability

By freeing up teams from manual processes, such as hand-writing database change scripts, testing or verifying differences between database environments, Flyway Enterprise helps teams pay down some of the data management debt experienced when working with complex and often legacy data architectures.

In addition, the act of automating database change management processes in a standardized, reliable and repeatable way means that organizations can more easily work with monolithic databases or tackle transformational strategies, such as migrating to the cloud or integrating AI into business practices.

*Object-level versioning, automated script generation, drift detection and change reporting are advanced capabilities in Redgate Flyway Enterprise for SQL Server, Oracle, PostgreSQL and MySQL.

Best practice by design – from first commit to production

Standardize best practice and de-risk database changes at scale.

Flyway Enterprise's new AI-powered features (available in public preview) help teams bring consistency and traceability to schema changes for stronger database governance.

For large teams working at scale, these capabilities cut cognitive load on repetitive tasks, freeing up time for high value work. Achieve database development best practice across the software delivery lifecycle.

• Summarize migration scripts to understand what complex scripts do at a glance, improving clarity and reducing the risk of unexpected changes.
• Auto-generate commit messages to quickly capture script changes in version control, helping teams to reinforce standards every time a database change is committed.
• Auto-create script descriptions to support clearer team documentation and improved efficiency during deployment script generation.