Postgres Summit US2026

Database modernization is becoming a strategic priority for enterprises seeking to reduce licensing costs, improve scalability, and move toward cloud-native architectures. However, migrating Oracle/SQL workloads to PostgreSQL remains a complex process due to differences in database objects, SQL dialects, stored procedures, functions, packages, data types, indexing strategies, and performance behavior. Agentic AI introduces a new approach to database migration by using autonomous agents to analyze legacy database assets, identify dependencies, convert schema and procedural logic, generate remediation recommendations, and support validation through automated testing. With platforms such as DMAP AI, organizations can accelerate Oracle/SQL to PostgreSQL migration by up to 4x while reducing manual conversion effort and improving consistency across assessment, conversion, optimization, and testing phases. This approach enables faster modernization, lower migration risk, and a more reliable transition to PostgreSQL for enterprise-scale database environments. The audience will learn how agentic AI can streamline each stage of Oracle/SQL to PostgreSQL migration, from initial assessment and dependency analysis to code conversion, validation, and performance optimization. The session will also highlight practical migration challenges, automation opportunities, and how AI-assisted workflows can help teams reduce effort, improve accuracy, and achieve faster modernization outcomes.