PostgreSQL Overtaking MySQL: Cloud Adoption, Vector DB Advantage, and Future Database Landscape
The article analyzes recent industry data and expert observations showing PostgreSQL surpassing MySQL in cloud instance counts, CPU usage, and ecosystem support, especially in vector‑database and serverless contexts, while highlighting MySQL's strategic shortcomings and predicting PostgreSQL's dominance in the coming years.
Recent observations from industry insiders, including former PolarDB InnoDB lead now heading Alibaba Cloud RDS for PostgreSQL and MySQL, indicate that PostgreSQL instances on AWS have already exceeded MySQL, and the gap is widening as PostgreSQL gains larger average instance sizes and CPU allocations.
AWS product strategy further confirms this shift: the RDS product manager is a core PostgreSQL community member, PostgreSQL‑centric extensions like PGVECTOR are heavily promoted, and the newest Aurora DSQL offering supports only PostgreSQL compatibility.
Other cloud providers follow suit. Microsoft open‑sourced DocumentDB, a PostgreSQL‑to‑MongoDB adapter that integrates with the distributed Citus extension, exemplifies the broader move toward PostgreSQL‑based solutions.
In China, Alibaba Cloud still leads with more MySQL RDS instances, but PostgreSQL growth outpaces MySQL, and the company’s PolarDB product for the domestic market is built on PostgreSQL, while its Oracle‑compatible branch is a secondary off‑shoot.
Serverless platforms reinforce the trend: among Vercel’s recommended databases, four of seven are PostgreSQL‑based, with no MySQL options, indicating that modern developers are gravitating toward PostgreSQL for its versatility.
Neon, Nile, Supabase, and Gel (formerly EdgeDB) are all PostgreSQL wrappers, underscoring its expanding ecosystem.
PostgreSQL’s built‑in support for vector extensions (pgvector) allows it to serve both relational and vector‑search workloads, eliminating the need for separate AI‑specific databases and giving it a decisive edge in the AI era.
Conversely, MySQL, hampered by Oracle’s lack of innovation, is missing critical advances in OLAP (e.g., DuckDB integration) and full‑text search (e.g., Tantivy), widening the performance and feature gap.
Given current trajectories, PostgreSQL is expected to become the de‑facto “Linux kernel” of the database world, while MySQL may decline to a niche status comparable to PHP today.
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