Choosing a vector database usually comes down to a tradeoff between a managed search service and an embedded library. OpenSearch and LanceDB sit on opposite ends of that spectrum: one runs as a distributed cluster with a rich feature set (full-text search, security, aggregations, multi-tenancy), the other as a columnar file format you query directly from your application. Both are good at vector search. This post sets ingestion aside and focuses on the steady-state question that dominates the bill once data is loaded: what does it cost to run queries, and what infrastructure do you need to keep running?
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