Move Beyond MySQL.
Future Proof with Postgres^®.

For applications that demand high concurrency (many users at once) and execute complex transactions, PostgreSQL is architecturally superior to MySQL. PostgreSQL uses a sophisticated system designed to virtually eliminate internal data “traffic jams.” This guarantees that high-volume customer activities—such as simultaneous reading and writing—never block each other, ensuring predictable, high-speed, and stability during peak transactional spikes. This architecture is essential for supporting modern service-level agreements (SLAs).

In contrast, MySQL’s simpler design often leads to increased locking and contention when traffic spikes, causing unpredictable slowdowns and jeopardizing service resilience. EDB PG AI extends this PostgreSQL advantage dramatically, with benchmarks showing that it is up to 4x faster than MySQL for demanding, complex workloads, providing the architectural certainty needed to maintain service resilience and protect revenue.

Yes, PostgreSQL offers superior Oracle compatibility, particularly through commercial enhancements such as those provided by EDB. EDB PG AI includes a mature Oracle compatibility mode that allows organizations to accelerate end-to-end database modernization. This feature enables teams to run applications written for Oracle with minimal code changes, including support for specialized Oracle data types, procedural language compatibility (PL/SQL), and key functions. This is a critical advantage for enterprises looking to exchange costly Oracle licensing with a reliable, feature-rich alternative.

MySQL, being an open source relational database, thrives with read-heavy transactional data. When you need to work with write-heavy workloads or other data types, you may need to adopt other databases, causing data silos and increasing operational overhead and complexity for diverse demands, such as AI. This limitation requires organizations to bolt on third-party tools to MySQL that don’t integrate seamlessly to support AI projects, resulting in deeper technical debt, cumbersome ETL processes, data fragmentation, longer AI deployment timelines, potential regulatory noncompliance, and overall infrastructure complexity.

Postgres can act as a multipurpose data store for building applications with structured, semi-structured, and unstructured data types. With Postgres, you can support relational, document, time series, columnar, and vector with extensions. With EDB PG AI Database, you can manage all of these data type plus an Oracle-compatible version of Postgres in a single managed environment—enabling your teams to build an unlimited number of specialized databases while providing native AI capabilities directly on your data. This helps you optimize read/write performance that scales effortlessly from high-concurrency transactional workloads to complex analytical queries, all deployable in a hybrid environment that ensures complete data sovereignty and security. 

Enterprise-grade support fundamentally differs in governance and strategic risk. Community MySQL support and roadmap are influenced by a single corporate owner, exposing your business to dependency lock-in and priority shifts. EDB offers award-winning 24/7/365 global support from the top Postgres contributors. This model guarantees competitive pricing, transparent bug fixes, and roadmap protection, ensuring that your enterprise requirements are met without compromising open source freedom.