Explainanalyze compares pgvector and Qdrant performance

An evaluation comparing pgvector and Qdrant using 500,000 real embeddings examines memory consumption, filtered search performance, and index build times. The author finds that while pgvector handles unfiltered searches well, dedicated vector databases like Qdrant excel at filtered queries and maintaining performance under memory constraints. However, using a dedicated vector database introduces architectural trade-offs such as sync pipelines, dual backups, and eventual consistency challenges. Open article →