PostgreSQL and MongoDB: What Scaling Really Looks Like
How PostgreSQL scales in real-world systems, compared with MongoDB, and why true scalability depends on design and workloads, not headlines.
OpenAI scaled PostgreSQL to handle millions of queries per second for 800 million ChatGPT users by deploying a single primary database instance with nearly 50 read replicas across multiple regions, offloading read-heavy traffic while minimizing writes.
The system handles massive global traffic through optimizations including caching layers, rate limiting across multiple layers, query routing, and migration of write-heavy workloads to sharded systems like Azure CosmosDB. Despite PostgreSQL's inherent challenges with write-heavy workloads due to its multiversion concurrency control implementation, this architecture maintains low double-digit millisecond latency and five-nines availability with only one major incident in the past year.