PostgreSQL continues to evolve with vector search extensions like pgvector and pgvecto.rs. We’ll explore recent benchmarks comparing vector search performance across various datasets and configurations, highlighting PostgreSQL’s adaptability in modern use cases.
Daniel started his career as PhD student in the area of cloud computing with a focus on distributed databases in the cloud. Further interests cover cloud orchestration, model-driven engineering, and performance evaluations of distributed systems. After completing his PhD, Daniel has co-founded the Benchmarking-as-a-Service platform benchANT where he is responsible for the product development.
