Bring stability and speed to database delivery for sustainable, scalable AI
To drive a sustainable, scalable integration of AI into business practices and processes, organizations have to ensure a level of data readiness to manage AI’s complex demands and growth in volumes of data. With this, comes the need for a robust database change management approach to ensure that data infrastructure can evolve safely over time.
Redgate Flyway Enterprise brings stability and speed to the delivery of database changes in the support of new AI features and releases in your organization.
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.
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.
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.
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.
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.
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.
Make it as easy to deliver database changes as it is for application code changes.
Free trialWhether you want more details about Redgate Flyway, a demo, or to know about best practice – get in touch.
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