Why PostgreSQL Is Overtaking MySQL in the AI Era – A Feature Comparison

Discussions about MySQL and PostgreSQL have become popular in recent years, and indiscriminate criticism of either side is unhelpful.

These two databases should be seen as good brothers; the tech community often says, “PostgreSQL once relied on MySQL for visibility, now MySQL relies on PostgreSQL for visibility.”

MySQL does have some historical issues, but it is not as flawed as some critics claim. Its open‑source nature, simplicity, stability, and massive user base have allowed it to dominate the relational database space for the past two decades, making it a reliable choice for many traditional, simple business applications.

However, the times are changing. When looking beyond traditional workloads, PostgreSQL proves to be a better fit in the AI wave.

In recent years, PostgreSQL’s momentum has been unstoppable. Almost every innovative database project embraces its ecosystem—platforms like Neon and Supabase are built directly on PostgreSQL, and many new distributed or OLAP systems (e.g., CockroachDB, DuckDB) remain compatible with PostgreSQL’s query syntax or protocol to lower the entry barrier for users.

PostgreSQL’s greatest advantage, especially in the AI era, is its powerful extensibility. Developers can install a variety of feature‑rich plugins without modifying the core, turning PostgreSQL into a “Swiss‑army knife” for data.

AI vector search? The official pgvector extension offers strong performance and a mature ecosystem, rivaling dedicated vector databases.

Full‑text search? Built‑in support (sufficient for basic needs) or extensions like pg_bm25 .

Time‑series data? The top‑tier TimescaleDB extension.

Geospatial information? The industry‑standard PostGIS extension.

This “one‑stop” capability means many projects no longer need external middleware such as Elasticsearch or Milvus; an enhanced PostgreSQL instance can meet diverse requirements, dramatically simplifying the tech stack and reducing development and operational costs.

According to the 2025 Stack Overflow Global Developer Survey, PostgreSQL has surpassed MySQL to become the most loved database among developers worldwide.

Although DB‑Engines’ market‑share ranking still shows MySQL leading due to its massive legacy installations, this reflects past dominance rather than future direction. Developer enthusiasm often signals the true technological trend.

Below is a feature comparison between PostgreSQL and MySQL.

PostgreSQL’s power is undeniable, but technology selection is not a zero‑sum game. For many simple CRUD applications, PostgreSQL’s advanced features may be unnecessary and could introduce extra learning curves and maintenance overhead.

Therefore, instead of debating which is superior, focus on the business needs: MySQL remains a reliable foundation for small‑to‑medium applications, while PostgreSQL offers superior extensibility and AI‑friendly support for complex, future‑oriented workloads.

There is no silver bullet—choose the one that fits your requirements.