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EDB

FOSS4G NA Enterprise Automation Resilience: Red Hat AAP on EDB Postgres AI Documenting the PostgreSQL protocol with pg_protoexport EDB heads to PGConf.Brasil 2026, this is what we’ll be talking about! Powering Invisible Commerce at World Cup Speed By the Time Your Data Warehouse Answers, the Opportunity Is Gone Building a Sovereign, Intelligent Data Foundation with EDB Postgres® AI on IBM LinuxONE 5 Deep Dive Into EDB Postgres AI's Agentic Database Capabilities Jumping the gun: looking ahead at PostgreSQL 19 Meeting in Montreal: Developer U plan(ner) patches KubeCon + CloudNativeCon NA EDB Summer Academy Your Database Goes Down. What Does That Cost Your Business? The Oracle Renewal Is Coming. This Time, There’s a Way Out. One Dashboard to Rule Them All — and Finally Get Your Fridays Back Your Database Should Be Working While You Sleep Inside the Agentic Database: How EDB Turned Postgres Into a Self-Managing System The Architecture IS the Security: Building Sovereign AI Ops on Postgres with EDB Agent Factory EDB Named a Leader in Multimodel Data Platforms Evaluation PGDay Hyderabad The Role of AI in Data Analytics: Moving From Hype to High-Octane Utility Iga Januszek Mike Olifirowicz Meeting EU Data Sovereignty Requirements While Speeding-Up Innovation Inside EDB’s New Principles for Responsible AI: Sovereign, Governed, Trusted and Beneficial Built From the Data Up: A Trusted Foundation for the Agentic Era | EDB Postgres® AI Q2-2026 Release EDB Launches Agentic Database, Converged Analytics, and Governance, Bringing Sovereign AI Where Enterprise Data Already Lives Stop Spending Hours on What Should Take Minutes: A DBA's Guide to EDB Postgres AI’s Agentic Database Capabilities Making Agentic AI Smarter at the Architecture Level Charly Batista
PostgreSQL vs MySQL: Migration Without the Migraine
alexandru.au · 2026-04-28 · via EDB

EDB positions PostgreSQL as a higher‑capability, enterprise‑ready alternative to MySQL and outlines a proven, risk‑reduced migration methodology used in 65,000+ projects. The framework spans assessment, conversion, implementation, operations, normalization, and cutover, with continuous validation for 100% data integrity, unified tooling, and predictable phases that shorten timelines and minimize rollbacks. Live demos show a simple open‑source path using PG Loader for quick moves and an enterprise path using EDB’s Migration Toolkit to handle schema, data, validation, and performance tuning, supported by advanced EDB Postgres (EPAS) features such as security hardening, Oracle compatibility, HA, and observability. EDB recommends starting with low‑risk pilots, limiting concurrent changes, defining success criteria, and preparing runbooks for scale, enabling offline, online, or hybrid cutovers. Post‑migration, organizations can leverage analytics and AI capabilities across any environment (on‑prem or cloud), backed by EDB training, services, and support.