Oracle AI Database 26ai in-database ONNX embedding model compared to pgvector external API embedding architecture — data sovereignty and latency comparison

Oracle AI Database 26ai Vector Search vs PostgreSQL pgvector — A DBA’s Perspective

We have run vector search workloads on both Oracle AI Database 26ai and PostgreSQL with pgvector and we are here to show you the architectural breakdown of Oracle AI Database 26ai vector search vs pgvector. The technical capabilities of both are real — pgvector works, and PostgreSQL shops have built production vector search on it. Read more about Oracle AI Database 26ai Vector Search vs PostgreSQL pgvector — A DBA’s Perspective[…]

PostgreSQL performance diagram: parallel seq scan vs index scan impact on cache hit ratio

Why PostgreSQL Cache Hit Ratio Keeps Dropping: The Missing Index Problem

Recently, we encountered a perplexing situation with one of our production PostgreSQL systems. The buffer cache hit ratio, which had been consistently above 95%, started gradually declining – hovering around 90% and continuing to drop. The strange part? No slow query alerts, no CPU saturation, no memory pressure warnings. Everything looked normal on the surface. Read more about Why PostgreSQL Cache Hit Ratio Keeps Dropping: The Missing Index Problem[…]

Architecture comparison showing complex specialized vector database setup versus simple PostgreSQL pgvector unified solution for AI workloads

Why PostgreSQL Beat Specialized Vector Databases: A DBA’s Perspective

Last Updated: December 2025 | By Sanjeeva Kumar | 20+ Years in Database Systems The Plot Twist Nobody Saw Coming Two weeks ago, PostgreSQL’s pgvector extension released version 0.8.0. Within days, the entire vector database market collectively held its breath. Why? Because that “old guard” relational database just made billion-dollar vector database startups look like Read more about Why PostgreSQL Beat Specialized Vector Databases: A DBA’s Perspective[…]